cslt Wiki - 用户贡献 [zh-cn]

140519 - XueSheng Li

2014-05-19T11:20:18Z

Lxs：以内容“weekly summary almost complete my graduation paper.leave the first chapter introduction to written. next week before my leave,must complete and modify my paper.”创建新页面

weekly summary

almost complete my graduation paper.leave the first chapter introduction to written.

next week

before my leave,must complete and modify my paper.

2014-05-19

2014-05-19T10:57:26Z

Lxs：

[[140519 - Mengyuan Zhao]]

[[140519 - Xi Ma]]

[[140519 - Chao Xing]]

[[140519 - Guoyu Tang]]

[[140519 - Zhongda Xie]]

[[140519 - Lantian Li]]

[[140519 - XueSheng Li]]

140212-XueSheng Li

2014-05-12T14:43:23Z

Lxs：以内容“weekly summary I have written three chapter in my graduation paper. next week continue write next chapters,I hope can complete the paper as soon as possible.”创建新页面

weekly summary

I have written three chapter in my graduation paper.

next week

continue write next chapters,I hope can complete the paper as soon as possible.

2014-05-12

2014-05-12T14:38:14Z

Lxs：

[[140512-Miao fan]]

[[140512-Jun Wang]]

[[140512-Fanhu Bie]]

[[140512-Xi Ma]]

[[140512-Mengyuan Zhao]]

[[140512-Chao Xing]]

[[140512-Lantian Li]]

[[140512-Guoyu Tang]]

[[140512-Askar]]

[[140512-Xuewei Zhang]]

[[140512-Zhiyong Zhang]]

[[140512-Fang Zhao]]

[[140212-Chao Liu]]

[[140212-Shi Yin]]

[[140212-XueSheng Li]]

140505-XueSheng Li

2014-05-05T12:56:23Z

Lxs：以内容“weekly summary don't do anything but write my graduation paper. next week as soon as possible to complete my paper,then do some other thing.”创建新页面

weekly summary

don't do anything but write my graduation paper.

next week

as soon as possible to complete my paper,then do some other thing.

2014-05-04

2014-05-05T12:48:16Z

Lxs：

[[140504-Miao fan]]

[[140505-Mengyuan Zhao]]

[[140505-Fanhu Bie]]

[[140505-Han Qiu]]

[[140505-Shi Yin]]

[[140505-XueSheng Li]]

140421-XueSheng Li

2014-04-21T12:18:08Z

Lxs：以内容“weekly summary 1.find the result:word fst is better than character fst,the character fst is wrong. next week 1.start to write my graduation paper. 2.do some other t...”创建新页面

weekly summary

1.find the result:word fst is better than character fst,the character fst is wrong.

next week

1.start to write my graduation paper.

2.do some other thing.

2014-04-21

2014-04-21T12:12:31Z

Lxs：

[[140421-Miao Fan]]

[[140421-Lantian Li]]

[[140421-Fanhu Bie]]

[[140421-Mengyuan Zhao]]

[[140421-Guoyu Tang]]

[[140421-Chenhao Zhang]]

[[140421-Shi Yin]]

[[140421-Askar]]

[[140421-XueSheng Li]]

140414 XueSheng Li

2014-04-14T10:35:09Z

Lxs：以内容“weekly summary 1.complete the C++ code to deal with the class.txt . 2.generate the word fst and character fst . 3.compare the efficiency about the word fst and chara...”创建新页面

weekly summary

1.complete the C++ code to deal with the class.txt .

2.generate the word fst and character fst .

3.compare the efficiency about the word fst and character fst.

next week

1.find character fst is worse than word fst,the result is not ideal.

2.test some other experiment to solve the problem.

3.continue the character fst work .

2014-04-13

2014-04-14T10:25:44Z

Lxs：

[[140413 Fanhu Bie]]

[[140413 Chenhao Zhang]]

[[140414 Mengyuan Zhao]]

[[140414 Lantian Li]]

[[140414 Shi Yin]]

[[140414 XueSheng Li]]

140408-Xuesheng Li

2014-04-08T09:58:53Z

Lxs：以内容“weekly summary 1.reading and research the C++ code about FstPatternGenerator and FstPatternMatching 2.asking xiao xi about the openfst next week 1.write the c++ cod...”创建新页面

weekly summary

1.reading and research the C++ code about FstPatternGenerator and FstPatternMatching

2.asking xiao xi about the openfst

next week

1.write the c++ code about word-fst

2014-04-08

2014-04-08T09:46:05Z

Lxs：

[[140408-Bie Fanhu]]

[[140408-Jun Wang]]

[[140408-Han Qiu]]

[[140408-Chenhao Zhang]]

[[140408-Xuesheng Li]]

14-03-31 XueSheng Li

2014-03-31T10:05:09Z

Lxs：

weekly summary

1.reading the paper or website about openfst

2.help Rong Liu do something

next week

1.learn openfst in C++ and shell

2.help Rng liu and ZhiYong Zhang

14-03-31 XueSheng Li

2014-03-31T10:04:52Z

Lxs：以内容“weekly summary 1.reading the paper or website about openfst 2.help Rong Liu do something next week 1.learn openfst in C++ and shell 2.help Rng liu and ZhiYong Zhang”创建新页面

weekly summary

1.reading the paper or website about openfst
2.help Rong Liu do something

next week

1.learn openfst in C++ and shell
2.help Rng liu and ZhiYong Zhang

2014-03-31

2014-03-31T09:57:07Z

Lxs：

[[14-03-31 Miao Fan]]

[[14-03-31 Chenhao Zhang]]

[[14-03-31 Guoyu Tang]]

[[14-03-31 Mengyuan Zhao]]

[[14-03-31 Xiaoxi Wang]]

[[14-03-31 XueSheng Li]]

14-03-24 XueSheng Li

2014-03-24T06:12:52Z

Lxs：以内容“weekly summary 1.test some negative weights on class lm qa,and the result is updated in CVSS. 2.reading some papers about my graduation project. next week 1.keep te...”创建新页面

weekly summary

1.test some negative weights on class lm qa,and the result is updated in CVSS.

2.reading some papers about my graduation project.

next week

1.keep test some weights after discuss with Rong Liu

2.keep reading my project's papers

3.if need,do any other thing

2014-03-24

2014-03-24T06:02:14Z

Lxs：

[[14-03-24 Miao Fan]]

[[14-03-24 Mengyuan Zhao]]

[[14-03-24 Bie Fanhu]]

[[14-03-24 Guoyu Tang]]

[[14-03-24 XueSheng Li]]

14-03-17 XueSheng Li

2014-03-17T13:06:07Z

Lxs：以内容“weekly summary 1.find the problem in the process merge 3-T and tencent,the merge weight is wrong,but don't find where the problem is. 2.help Rong Liu and ZhiYong Zhan...”创建新页面

weekly summary

1.find the problem in the process merge 3-T and tencent,the merge weight is wrong,but don't find where the problem is.

2.help Rong Liu and ZhiYong Zhang seek out the recognition singer and song in they train a series of lm,and paste the result in CVSS

next week

1.dicuss with Rong Liu to find the problem of weight that merge 3-T and tencent

2.check the recognized singers and songs is right or wrong

3.do some other things

2014-03-16

2014-03-17T12:51:15Z

Lxs：

[[14-03-16 Xiaoxi Wang]]

[[14-03-16 Rong Liu]]

[[13-03-16 Mengyuan Zhao]]

[[13-03-16 Han Qiu]]

[[14-03-16 Miao Fan]]

[[14-03-16 Jun Wang]]

[[14-03-16 Shi Yin]]

[[14-03-16 Lantian Li]]

[[14-03-16 Chen Xue]]

[[14-03-16 Zhiyong Zhang]]

[[13-03-16 Chao Liu]]

[[14-03-17 Bie Fanhu]]

[[14-03-17 XueSheng Li]]

14-03-10 Xuesheng Li

2014-03-10T12:11:46Z

Lxs：以内容“weekly summary 1.test the lm(6 grid merged),test the tencent lm 2.mix lm(6 grid merged) and tencent lm , then test 3.mix lm(6 grid merged) and QA lm , then test 4.f...”创建新页面

weekly summary

1.test the lm(6 grid merged),test the tencent lm

2.mix lm(6 grid merged) and tencent lm , then test

3.mix lm(6 grid merged) and QA lm , then test

4.find some problem in mix-tencent-3T-lm,because the test resualt is worse than tencent

next week

1.find the reason why mix-tencent-3T-lm resualt is bad.

2.help Rong Liu do something.

2014-03-10

2014-03-10T12:02:17Z

Lxs：

[[14-03-10 Miao Fan]]

[[14-03-10 Mengyuan Zhao]]

[[14-03-10 Lantian Li]]

[[14-03-10 Xuesheng Li]]

14-03-04 XueSheng Li

2014-03-04T09:11:10Z

Lxs：以内容“===weekly summary=== ;1.train the pages(every grid has 26) to lm in every grid :*(grid-3,grid-4,grid-6,grid-7,grid-9,grid-14 have data) ;2.merge the 26 lm in every gri...”创建新页面

===weekly summary===

;1.train the pages(every grid has 26) to lm in every grid
:*(grid-3,grid-4,grid-6,grid-7,grid-9,grid-14 have data)
;2.merge the 26 lm in every grid to a lm
;3.merge the lm(26 lm merged) in every grid to a final lm

===next week===
;1.test the lm(6 grid merged),test the tencent lm
;2.mix lm(6 grid merged) and tencent lm , then test
;3.mix lm(6 grid merged) and QA lm , then test
;4.when all done,then do other things.

2014-03-03

2014-03-04T08:55:08Z

Lxs：

[[14-03-07 Rong Liu]]

[[14-03-04 Bie Fanhu]]

[[14-03-04 XueSheng Li]]

DataBase

2014-02-26T06:24:16Z

Lxs：/* nolexicion wordlist */

==lm==
{| class="wikitable"
! name !! size !! dir !! description
|-
|SogouQ.full.train.3gram.gz || 132M || /work/lxs/nlphome/lm/SogouQ-500M || trainData=SougouQ(800M);dict=11w-tecent
|-
|SogouT-11w-merge2-1.3gram.gz || 4.1G ||/work/lxs/nlphome/lm/SogouT-140G || trainData=SougouT(140G);dict=11w-tencent
|-
|SogouT-11w-merge2-2.3gram.gz || 3.9G || /work/lxs/nlphome/lm/SogouT-140G ||
|-
|8w8.3gram.tencent.gz || 452M || /work/lxs/nlphome/lm/Tencent ||
|-
|musicQuery-ltc.3gram.gz || 28M || /work/lxs/nlphome/lm/TencentQ/musicQuery ||use qa15w-singer-songs.wordlist
|-
|TencentQ.3gram.gz || 1.4G || /work/lxs/nlphome/lm/TencentQ/qa15w ||use qa15w.lexicion
|-
|mix-corp1-corp2.3gram.gz || 1.3G ||/work/lxs/nlphome/lm/TencentQ/qa15w-nosinger-song||use qa15w-nosinger-song.wordlist
|-
|mix-corp1_0.5-corp2_0.5.3gram.gz||1.4G||/work/lxs/nlphome/lm/TencentQ/qa15w-singer-song||use qa15w-singer-song.wordlist
|-
|11w_merge6_kn.3gram.gz||4.3G||/work/lxs/nlphome/lm/TencentQA-100G|| trainData=qa(100G),dict=11w-tencent
|-
|8w8_new_merge6_kn.3gram0.gz||4.5G||/work/lxs/nlphome/lm/TencentQA-100G||trainData=qa(100G),dict=8w8-tencent
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-5.3gram.gz||1.4M||/work/lxs/nlphome/lm/jietong||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-9.5gram.gz||389M||/work/lxs/nlphome/lm/jietong||
|}

==lexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.lexicion||2060 ||/work/lxs/nlphome/dict/lex-wordlist/music/lr ||
|-
|singer.low.lexicion||2060||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|singer.pinyin||2104||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.lexicion||4639||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.low.lexicion||4639||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.pinyin||4644||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|qa15w-ch-sinovoice.lexicion||92469||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w-ch.pinyin||92469||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w.lexicion||158404||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|11w.lexicion||122172||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|-
|8w8.lexicion||90795||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|}

==nolexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.wordlist||2060||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|song.wordlist||4639||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|album.txt||11736||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|area.txt||4||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|chart.txt||28||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|drama.txt||517||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|language.txt||35||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|singer.txt||4456||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|stopwords.txt||894||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|song.txt||26153||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|style.txt||562||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|type.txt||3||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|entity.txt||36198||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||merge album area chart drama language singer song stopwords style type
|-
|qa15w.wordlist||147996||/work/lxs/nlphome/dict/nolex-wordlist/qa-check||
|-
|11w.wordlist||111895||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|8w8.wordlist||88055||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|scws20w-utf8.wordlist||284646||/work/lxs/nlphome/dict/nolex-wordlist||
|}

==lenvxx==
===path:/nfs/corpus/data/corpora/lenvxx===
===description:I settle the data in /nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus===
=====(in this directory,it include 4 subdirectory:ChinaDivision , dict , dict4VOD , document Resource)=====
;1.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict
:;1.include directory :sogou-dict
:::*城市信息:include many provinces' data about the cities' names and places' names in the province,and some localisms,and some cities' information about bus station and the streets' name
:::*电子游戏
::::*单机游戏:include the console games' name from 2001 to 2011,and some game's wordlist.
::::*网游：include the online games' name from 2008 to 2011 and some game's wordlist.
:::*工程与应用科学:include the specialized vocabulary wordlists in project field.
::::*计算机:include the specialized vocabulary wordlists in computer field,and Alibaba's product vocabulary in many fields.
:::*农林鱼畜:include the wordlist about livestock and agriculture.
:::*人文科学
::::*文学:include the wordlist about ancient Chinese literature and masterwork,and some novels' wordlist.
::::*语言:include the wordlists about idiom and Folklore,Network buzzwords.
::::*哲学:include the wordlists about philosophy.for instance,Hegel,Marxism.
::::*宗教:include the wordlists about Taoism,Buddhism,Islam
::::*历史:include the wordlists about the history about Chinese,and Japanese's warring states period,diplomacy.
::::*其他:include the wordlist about the ancient Chinese numerology.
:::*社会科学
::::*法律:include the wordlists about law.
::::*教育:include the wordlists about some universities' architecture,and some wordlist about textbook,list of Chinese univercity and America famous univercity.
::::*金融:include the wordlists about wordlist about financial.
::::*军事:include the wordlists about military.
::::*政治:include the wordlists about Party and government offices,political,and ancient China Official institutions
::::*其他:include the wordlists about public relations,ethics,anthropology
:::*生活:include the wordlists about many fields in our lief.
:::*医学:include the wordlists about medical science.
:::*艺术
::::*书法篆刻:include the wordlists about sculpture and calligraphy.
::::*舞蹈:include the wordlists about dance and Gymnastics Rhythmic.
::::*戏剧:include the wordlists about drama.
::::*音乐:include the wordlists about music major in Chinese and the west.
::::*其他:include the wordlists of tea,sculpture,er ren zhuan,world heritage,artist.
:::*娱乐
::::*电影电视:include the wordlists about science fiction film.
::::*动漫:include the wordlists about some cartoons.
::::*流行音乐:include the wordlists about a novel of A Song of Ice and Fire,fashionable word or phrase.
::::*明星:include the wordlists about some famous person.
::::*汽车:include the wordlists about car field.
::::*收藏:include the wordlists about advertisement.
::::*时尚品牌:the directory is empty.
:::*运动休闲
::::*F1赛车:the directory is empty.
::::*奥运:include the wordlists of Olympic.
::::*垂钓:include the wordlists of fishing.
::::*轮滑:include a wordlist of roller skating.
::::*棋牌:include the wordlists about mahjong,go,chinese chess,san guo sha.
::::*气功:include the wordlists about qigong.
::::*球类:include the wordlists about football,basketball,ping-bang ball,golf,badminton.
::::*杀人游戏:the directory is empty.
::::*跆拳道:include the wordlists of taekwondo.
::::*太极拳:include the wordlists of ba gua,tai ji quan.
::::*武术:include the wordlists of wu shu.
::::*自行车:the directory is empty.
::::*其他:include the wordlists about fencing,judo,wrestling,yoga.
:::*自然科学
::::*化学:include the wordlists of chemistry.
::::*生物:include the wordlists of biology.
::::*数学:include the wordlists of math.
::::*天文学:include the wordlists of astronomy.
::::*物理:include the wordlists of physics.
::::*其他:include the wordlists of stone.
:;2.include directory :movie(include many wordlists about movie major)
:::*电影:include the movie wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:::*明星:include the movie star wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:;3.include directory :movie-dict(include the wordlists of actor,director,moviename,roles,style)
:;4.include directory :name(include the wordlists of famous person in inland,Hongkong and Taiwan,Europe and America,Asian.)
:;5.include directory :NER(include the wordlists of person name in English,Japan,Korea,Russia)
:;6.include directory :Pinyin(include a wordlists of duo ying zhi)
:;7.include directory :VOD
:::*电视剧:include a wordlist of teleplay.
:::*电影:include a wordlist of movie.
:::*微电影:include a wordlist of micro film.
:::*音乐:include the wordlists of famous songs in inland,Hongkong and Taiwan,Europe and America,Japan and South Korea
:::*综艺:include a wordlists of show.
:;8.include directory :领域术语(include the wordlists about computer,economy,travel,sports,medicine)
:;9.include directory :语言学词库
:::*基础名词:it include person,abstract noun,nature,person making things,fashion noun.
:::*语言学词汇类别:it include all grammar vocabulary.
;2.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict4VOD
:the directory include the wordlists of movie distribution company,film award,filmfest,actors'name,chinese and english comparison table.
;3.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/ChinaDivision
:the directory include 4 wordlists,which divide in 4 level(province name,city name,region name,street name)

DataBase

2014-02-26T06:17:45Z

Lxs：/* lexicion wordlist */

==lm==
{| class="wikitable"
! name !! size !! dir !! description
|-
|SogouQ.full.train.3gram.gz || 132M || /work/lxs/nlphome/lm/SogouQ-500M || trainData=SougouQ(800M);dict=11w-tecent
|-
|SogouT-11w-merge2-1.3gram.gz || 4.1G ||/work/lxs/nlphome/lm/SogouT-140G || trainData=SougouT(140G);dict=11w-tencent
|-
|SogouT-11w-merge2-2.3gram.gz || 3.9G || /work/lxs/nlphome/lm/SogouT-140G ||
|-
|8w8.3gram.tencent.gz || 452M || /work/lxs/nlphome/lm/Tencent ||
|-
|musicQuery-ltc.3gram.gz || 28M || /work/lxs/nlphome/lm/TencentQ/musicQuery ||use qa15w-singer-songs.wordlist
|-
|TencentQ.3gram.gz || 1.4G || /work/lxs/nlphome/lm/TencentQ/qa15w ||use qa15w.lexicion
|-
|mix-corp1-corp2.3gram.gz || 1.3G ||/work/lxs/nlphome/lm/TencentQ/qa15w-nosinger-song||use qa15w-nosinger-song.wordlist
|-
|mix-corp1_0.5-corp2_0.5.3gram.gz||1.4G||/work/lxs/nlphome/lm/TencentQ/qa15w-singer-song||use qa15w-singer-song.wordlist
|-
|11w_merge6_kn.3gram.gz||4.3G||/work/lxs/nlphome/lm/TencentQA-100G|| trainData=qa(100G),dict=11w-tencent
|-
|8w8_new_merge6_kn.3gram0.gz||4.5G||/work/lxs/nlphome/lm/TencentQA-100G||trainData=qa(100G),dict=8w8-tencent
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-5.3gram.gz||1.4M||/work/lxs/nlphome/lm/jietong||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-9.5gram.gz||389M||/work/lxs/nlphome/lm/jietong||
|}

==lexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.lexicion||2060 ||/work/lxs/nlphome/dict/lex-wordlist/music/lr ||
|-
|singer.low.lexicion||2060||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|singer.pinyin||2104||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.lexicion||4639||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.low.lexicion||4639||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.pinyin||4644||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|qa15w-ch-sinovoice.lexicion||92469||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w-ch.pinyin||92469||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w.lexicion||158404||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|11w.lexicion||122172||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|-
|8w8.lexicion||90795||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|}

==nolexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.wordlist||19k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|song.wordlist||68k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|album.txt||227k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|area.txt||32bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|chart.txt||336bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|drama.txt||7.2k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|language.txt||343bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|singer.txt||42k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|stopwords.txt||6.1k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|song.txt||408k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|style.txt||6.6k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|type.txt||18bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|entity.txt||590k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||merge album area chart drama language singer song stopwords style type
|-
|qa15w.wordlist||1.2M||/work/lxs/nlphome/dict/nolex-wordlist/qa-check||
|-
|11w.wordlist||888k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|8w8.wordlist||666k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|scws20w-utf8.wordlist||6.5M||/work/lxs/nlphome/dict/nolex-wordlist||
|}

==lenvxx==
===path:/nfs/corpus/data/corpora/lenvxx===
===description:I settle the data in /nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus===
=====(in this directory,it include 4 subdirectory:ChinaDivision , dict , dict4VOD , document Resource)=====
;1.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict
:;1.include directory :sogou-dict
:::*城市信息:include many provinces' data about the cities' names and places' names in the province,and some localisms,and some cities' information about bus station and the streets' name
:::*电子游戏
::::*单机游戏:include the console games' name from 2001 to 2011,and some game's wordlist.
::::*网游：include the online games' name from 2008 to 2011 and some game's wordlist.
:::*工程与应用科学:include the specialized vocabulary wordlists in project field.
::::*计算机:include the specialized vocabulary wordlists in computer field,and Alibaba's product vocabulary in many fields.
:::*农林鱼畜:include the wordlist about livestock and agriculture.
:::*人文科学
::::*文学:include the wordlist about ancient Chinese literature and masterwork,and some novels' wordlist.
::::*语言:include the wordlists about idiom and Folklore,Network buzzwords.
::::*哲学:include the wordlists about philosophy.for instance,Hegel,Marxism.
::::*宗教:include the wordlists about Taoism,Buddhism,Islam
::::*历史:include the wordlists about the history about Chinese,and Japanese's warring states period,diplomacy.
::::*其他:include the wordlist about the ancient Chinese numerology.
:::*社会科学
::::*法律:include the wordlists about law.
::::*教育:include the wordlists about some universities' architecture,and some wordlist about textbook,list of Chinese univercity and America famous univercity.
::::*金融:include the wordlists about wordlist about financial.
::::*军事:include the wordlists about military.
::::*政治:include the wordlists about Party and government offices,political,and ancient China Official institutions
::::*其他:include the wordlists about public relations,ethics,anthropology
:::*生活:include the wordlists about many fields in our lief.
:::*医学:include the wordlists about medical science.
:::*艺术
::::*书法篆刻:include the wordlists about sculpture and calligraphy.
::::*舞蹈:include the wordlists about dance and Gymnastics Rhythmic.
::::*戏剧:include the wordlists about drama.
::::*音乐:include the wordlists about music major in Chinese and the west.
::::*其他:include the wordlists of tea,sculpture,er ren zhuan,world heritage,artist.
:::*娱乐
::::*电影电视:include the wordlists about science fiction film.
::::*动漫:include the wordlists about some cartoons.
::::*流行音乐:include the wordlists about a novel of A Song of Ice and Fire,fashionable word or phrase.
::::*明星:include the wordlists about some famous person.
::::*汽车:include the wordlists about car field.
::::*收藏:include the wordlists about advertisement.
::::*时尚品牌:the directory is empty.
:::*运动休闲
::::*F1赛车:the directory is empty.
::::*奥运:include the wordlists of Olympic.
::::*垂钓:include the wordlists of fishing.
::::*轮滑:include a wordlist of roller skating.
::::*棋牌:include the wordlists about mahjong,go,chinese chess,san guo sha.
::::*气功:include the wordlists about qigong.
::::*球类:include the wordlists about football,basketball,ping-bang ball,golf,badminton.
::::*杀人游戏:the directory is empty.
::::*跆拳道:include the wordlists of taekwondo.
::::*太极拳:include the wordlists of ba gua,tai ji quan.
::::*武术:include the wordlists of wu shu.
::::*自行车:the directory is empty.
::::*其他:include the wordlists about fencing,judo,wrestling,yoga.
:::*自然科学
::::*化学:include the wordlists of chemistry.
::::*生物:include the wordlists of biology.
::::*数学:include the wordlists of math.
::::*天文学:include the wordlists of astronomy.
::::*物理:include the wordlists of physics.
::::*其他:include the wordlists of stone.
:;2.include directory :movie(include many wordlists about movie major)
:::*电影:include the movie wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:::*明星:include the movie star wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:;3.include directory :movie-dict(include the wordlists of actor,director,moviename,roles,style)
:;4.include directory :name(include the wordlists of famous person in inland,Hongkong and Taiwan,Europe and America,Asian.)
:;5.include directory :NER(include the wordlists of person name in English,Japan,Korea,Russia)
:;6.include directory :Pinyin(include a wordlists of duo ying zhi)
:;7.include directory :VOD
:::*电视剧:include a wordlist of teleplay.
:::*电影:include a wordlist of movie.
:::*微电影:include a wordlist of micro film.
:::*音乐:include the wordlists of famous songs in inland,Hongkong and Taiwan,Europe and America,Japan and South Korea
:::*综艺:include a wordlists of show.
:;8.include directory :领域术语(include the wordlists about computer,economy,travel,sports,medicine)
:;9.include directory :语言学词库
:::*基础名词:it include person,abstract noun,nature,person making things,fashion noun.
:::*语言学词汇类别:it include all grammar vocabulary.
;2.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict4VOD
:the directory include the wordlists of movie distribution company,film award,filmfest,actors'name,chinese and english comparison table.
;3.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/ChinaDivision
:the directory include 4 wordlists,which divide in 4 level(province name,city name,region name,street name)

DataBase

2014-02-26T06:00:33Z

Lxs：/* lenvxx */

==lm==
{| class="wikitable"
! name !! size !! dir !! description
|-
|SogouQ.full.train.3gram.gz || 132M || /work/lxs/nlphome/lm/SogouQ-500M || trainData=SougouQ(800M);dict=11w-tecent
|-
|SogouT-11w-merge2-1.3gram.gz || 4.1G ||/work/lxs/nlphome/lm/SogouT-140G || trainData=SougouT(140G);dict=11w-tencent
|-
|SogouT-11w-merge2-2.3gram.gz || 3.9G || /work/lxs/nlphome/lm/SogouT-140G ||
|-
|8w8.3gram.tencent.gz || 452M || /work/lxs/nlphome/lm/Tencent ||
|-
|musicQuery-ltc.3gram.gz || 28M || /work/lxs/nlphome/lm/TencentQ/musicQuery ||use qa15w-singer-songs.wordlist
|-
|TencentQ.3gram.gz || 1.4G || /work/lxs/nlphome/lm/TencentQ/qa15w ||use qa15w.lexicion
|-
|mix-corp1-corp2.3gram.gz || 1.3G ||/work/lxs/nlphome/lm/TencentQ/qa15w-nosinger-song||use qa15w-nosinger-song.wordlist
|-
|mix-corp1_0.5-corp2_0.5.3gram.gz||1.4G||/work/lxs/nlphome/lm/TencentQ/qa15w-singer-song||use qa15w-singer-song.wordlist
|-
|11w_merge6_kn.3gram.gz||4.3G||/work/lxs/nlphome/lm/TencentQA-100G|| trainData=qa(100G),dict=11w-tencent
|-
|8w8_new_merge6_kn.3gram0.gz||4.5G||/work/lxs/nlphome/lm/TencentQA-100G||trainData=qa(100G),dict=8w8-tencent
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-5.3gram.gz||1.4M||/work/lxs/nlphome/lm/jietong||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-9.5gram.gz||389M||/work/lxs/nlphome/lm/jietong||
|}

==lexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.lexicion||74k ||/work/lxs/nlphome/dict/lex-wordlist/music/lr ||
|-
|singer.low.lexicion||74k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|singer.pinyin||44k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.low.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.pinyin||167k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|qa15w-ch-sinovoice.lexicion||2.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w-ch.pinyin||1.7M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w.lexicion||4.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|11w.lexicion||3.8M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|-
|8w8.lexicion||2.5M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|}

==nolexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.wordlist||19k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|song.wordlist||68k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|album.txt||227k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|area.txt||32bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|chart.txt||336bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|drama.txt||7.2k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|language.txt||343bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|singer.txt||42k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|stopwords.txt||6.1k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|song.txt||408k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|style.txt||6.6k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|type.txt||18bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|entity.txt||590k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||merge album area chart drama language singer song stopwords style type
|-
|qa15w.wordlist||1.2M||/work/lxs/nlphome/dict/nolex-wordlist/qa-check||
|-
|11w.wordlist||888k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|8w8.wordlist||666k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|scws20w-utf8.wordlist||6.5M||/work/lxs/nlphome/dict/nolex-wordlist||
|}

==lenvxx==
===path:/nfs/corpus/data/corpora/lenvxx===
===description:I settle the data in /nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus===
=====(in this directory,it include 4 subdirectory:ChinaDivision , dict , dict4VOD , document Resource)=====
;1.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict
:;1.include directory :sogou-dict
:::*城市信息:include many provinces' data about the cities' names and places' names in the province,and some localisms,and some cities' information about bus station and the streets' name
:::*电子游戏
::::*单机游戏:include the console games' name from 2001 to 2011,and some game's wordlist.
::::*网游：include the online games' name from 2008 to 2011 and some game's wordlist.
:::*工程与应用科学:include the specialized vocabulary wordlists in project field.
::::*计算机:include the specialized vocabulary wordlists in computer field,and Alibaba's product vocabulary in many fields.
:::*农林鱼畜:include the wordlist about livestock and agriculture.
:::*人文科学
::::*文学:include the wordlist about ancient Chinese literature and masterwork,and some novels' wordlist.
::::*语言:include the wordlists about idiom and Folklore,Network buzzwords.
::::*哲学:include the wordlists about philosophy.for instance,Hegel,Marxism.
::::*宗教:include the wordlists about Taoism,Buddhism,Islam
::::*历史:include the wordlists about the history about Chinese,and Japanese's warring states period,diplomacy.
::::*其他:include the wordlist about the ancient Chinese numerology.
:::*社会科学
::::*法律:include the wordlists about law.
::::*教育:include the wordlists about some universities' architecture,and some wordlist about textbook,list of Chinese univercity and America famous univercity.
::::*金融:include the wordlists about wordlist about financial.
::::*军事:include the wordlists about military.
::::*政治:include the wordlists about Party and government offices,political,and ancient China Official institutions
::::*其他:include the wordlists about public relations,ethics,anthropology
:::*生活:include the wordlists about many fields in our lief.
:::*医学:include the wordlists about medical science.
:::*艺术
::::*书法篆刻:include the wordlists about sculpture and calligraphy.
::::*舞蹈:include the wordlists about dance and Gymnastics Rhythmic.
::::*戏剧:include the wordlists about drama.
::::*音乐:include the wordlists about music major in Chinese and the west.
::::*其他:include the wordlists of tea,sculpture,er ren zhuan,world heritage,artist.
:::*娱乐
::::*电影电视:include the wordlists about science fiction film.
::::*动漫:include the wordlists about some cartoons.
::::*流行音乐:include the wordlists about a novel of A Song of Ice and Fire,fashionable word or phrase.
::::*明星:include the wordlists about some famous person.
::::*汽车:include the wordlists about car field.
::::*收藏:include the wordlists about advertisement.
::::*时尚品牌:the directory is empty.
:::*运动休闲
::::*F1赛车:the directory is empty.
::::*奥运:include the wordlists of Olympic.
::::*垂钓:include the wordlists of fishing.
::::*轮滑:include a wordlist of roller skating.
::::*棋牌:include the wordlists about mahjong,go,chinese chess,san guo sha.
::::*气功:include the wordlists about qigong.
::::*球类:include the wordlists about football,basketball,ping-bang ball,golf,badminton.
::::*杀人游戏:the directory is empty.
::::*跆拳道:include the wordlists of taekwondo.
::::*太极拳:include the wordlists of ba gua,tai ji quan.
::::*武术:include the wordlists of wu shu.
::::*自行车:the directory is empty.
::::*其他:include the wordlists about fencing,judo,wrestling,yoga.
:::*自然科学
::::*化学:include the wordlists of chemistry.
::::*生物:include the wordlists of biology.
::::*数学:include the wordlists of math.
::::*天文学:include the wordlists of astronomy.
::::*物理:include the wordlists of physics.
::::*其他:include the wordlists of stone.
:;2.include directory :movie(include many wordlists about movie major)
:::*电影:include the movie wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:::*明星:include the movie star wordlists of inland,Hongkong and Taiwan,Europe and America,Asian.
:;3.include directory :movie-dict(include the wordlists of actor,director,moviename,roles,style)
:;4.include directory :name(include the wordlists of famous person in inland,Hongkong and Taiwan,Europe and America,Asian.)
:;5.include directory :NER(include the wordlists of person name in English,Japan,Korea,Russia)
:;6.include directory :Pinyin(include a wordlists of duo ying zhi)
:;7.include directory :VOD
:::*电视剧:include a wordlist of teleplay.
:::*电影:include a wordlist of movie.
:::*微电影:include a wordlist of micro film.
:::*音乐:include the wordlists of famous songs in inland,Hongkong and Taiwan,Europe and America,Japan and South Korea
:::*综艺:include a wordlists of show.
:;8.include directory :领域术语(include the wordlists about computer,economy,travel,sports,medicine)
:;9.include directory :语言学词库
:::*基础名词:it include person,abstract noun,nature,person making things,fashion noun.
:::*语言学词汇类别:it include all grammar vocabulary.
;2.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict4VOD
:the directory include the wordlists of movie distribution company,film award,filmfest,actors'name,chinese and english comparison table.
;3.Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/ChinaDivision
:the directory include 4 wordlists,which divide in 4 level(province name,city name,region name,street name)

DataBase

2014-02-25T12:27:10Z

Lxs：

==lm==
{| class="wikitable"
! name !! size !! dir !! description
|-
|SogouQ.full.train.3gram.gz || 132M || /work/lxs/nlphome/lm/SogouQ-500M || trainData=SougouQ(800M);dict=11w-tecent
|-
|SogouT-11w-merge2-1.3gram.gz || 4.1G ||/work/lxs/nlphome/lm/SogouT-140G || trainData=SougouT(140G);dict=11w-tencent
|-
|SogouT-11w-merge2-2.3gram.gz || 3.9G || /work/lxs/nlphome/lm/SogouT-140G ||
|-
|8w8.3gram.tencent.gz || 452M || /work/lxs/nlphome/lm/Tencent ||
|-
|musicQuery-ltc.3gram.gz || 28M || /work/lxs/nlphome/lm/TencentQ/musicQuery ||use qa15w-singer-songs.wordlist
|-
|TencentQ.3gram.gz || 1.4G || /work/lxs/nlphome/lm/TencentQ/qa15w ||use qa15w.lexicion
|-
|mix-corp1-corp2.3gram.gz || 1.3G ||/work/lxs/nlphome/lm/TencentQ/qa15w-nosinger-song||use qa15w-nosinger-song.wordlist
|-
|mix-corp1_0.5-corp2_0.5.3gram.gz||1.4G||/work/lxs/nlphome/lm/TencentQ/qa15w-singer-song||use qa15w-singer-song.wordlist
|-
|11w_merge6_kn.3gram.gz||4.3G||/work/lxs/nlphome/lm/TencentQA-100G|| trainData=qa(100G),dict=11w-tencent
|-
|8w8_new_merge6_kn.3gram0.gz||4.5G||/work/lxs/nlphome/lm/TencentQA-100G||trainData=qa(100G),dict=8w8-tencent
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-5.3gram.gz||1.4M||/work/lxs/nlphome/lm/jietong||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-9.5gram.gz||389M||/work/lxs/nlphome/lm/jietong||
|}

==lexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.lexicion||74k ||/work/lxs/nlphome/dict/lex-wordlist/music/lr ||
|-
|singer.low.lexicion||74k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|singer.pinyin||44k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.low.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.pinyin||167k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|qa15w-ch-sinovoice.lexicion||2.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w-ch.pinyin||1.7M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w.lexicion||4.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|11w.lexicion||3.8M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|-
|8w8.lexicion||2.5M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|}

==nolexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.wordlist||19k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|song.wordlist||68k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|album.txt||227k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|area.txt||32bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|chart.txt||336bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|drama.txt||7.2k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|language.txt||343bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|singer.txt||42k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|stopwords.txt||6.1k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|song.txt||408k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|style.txt||6.6k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|type.txt||18bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|entity.txt||590k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||merge album area chart drama language singer song stopwords style type
|-
|qa15w.wordlist||1.2M||/work/lxs/nlphome/dict/nolex-wordlist/qa-check||
|-
|11w.wordlist||888k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|8w8.wordlist||666k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|scws20w-utf8.wordlist||6.5M||/work/lxs/nlphome/dict/nolex-wordlist||
|}

==lenvxx==
===path:/nfs/corpus/data/corpora/lenvxx===
===description:I settle the data in /nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus===
=====(in this directory,it include 4 subdirectory:ChinaDivision , dict , dict4VOD , document Resource)=====
#Directory:/nfs/corpus/data/corpora/lenvxx/data/text/nlpcorpus/nlp_corpus/dict
##include directory :sogou-dict
:::*城市信息:include many provinces' data about the cities' names and places' names in the province,and some localisms,and some cities' information about bus station and the streets' name
:::*电子游戏
::::*单机游戏:include the console games' name from 2001 to 2011,and some game's wordlist.
::::*网游：include the online games' name from 2008 to 2011 and some game's wordlist.
:::*工程与应用科学:include the specialized vocabulary wordlists in project field.
::::*计算机:include the specialized vocabulary wordlists in computer field,and Alibaba's product vocabulary in many fields.
:::*农林鱼畜:include the wordlist about livestock and agriculture.
:::*人文科学
::::*文学:include the wordlist about ancient Chinese literature and masterwork,and some novels' wordlist.
::::*语言:include the wordlists about idiom and Folklore,Network buzzwords.
::::*哲学:include the wordlists about philosophy.for instance,Hegel,Marxism.
::::*宗教:include the wordlists about Taoism,Buddhism,Islam
::::*历史:include the wordlists about the history about Chinese,and Japanese's warring states period,diplomacy.
::::*其他:include the wordlist about the ancient Chinese numerology.
:::*社会科学
::::*法律:include the wordlists about law.
::::*教育:include the wordlists about some universities' architecture,and some wordlist about textbook,list of Chinese univercity and America famous univercity.
::::*金融:include the wordlists about wordlist about financial.
::::*军事:include the wordlists about military.
::::*政治:include the wordlists about Party and government offices,political,and ancient China Official institutions
::::*其他:include the wordlists about public relations,ethics,anthropology
:::*生活:include the wordlists about many fields in our lief.
:::*医学:include the wordlists about medical science.
:::*艺术
::::*书法篆刻:include the wordlists about sculpture and calligraphy.
::::*舞蹈:include the wordlists about dance and Gymnastics Rhythmic.
::::*戏剧:include the wordlists about drama.
::::*音乐:include the wordlists about music major in Chinese and the west.
::::*其他:include the wordlists of tea,sculpture,er ren zhuan,world heritage,artist.
:::*娱乐
::::*电影电视:include the wordlists about science fiction film.
::::*动漫:include the wordlists about some cartoons.
::::*流行音乐:include the wordlists about a novel of A Song of Ice and Fire,fashionable word or phrase.
::::*明星:include the wordlists about some famous person.
::::*汽车:include the wordlists about car field.
::::*收藏:include the wordlists about advertisement.
::::*时尚品牌:the directory is empty.
:::*运动休闲
::::*F1赛车:the directory is empty.
::::*奥运:include the wordlists of Olympic.
::::*垂钓:include the wordlists of fishing.
::::*轮滑:include a wordlist of roller skating.
::::*棋牌:include the wordlists about mahjong,go,chinese chess,san guo sha.
::::*气功:include the wordlists about qigong.
::::*球类:include the wordlists about football,basketball,ping-bang ball,golf,badminton.
::::*杀人游戏:the directory is empty.
::::*跆拳道:include the wordlists of taekwondo.
::::*太极拳:include the wordlists of ba gua,tai ji quan.
::::*武术:include the wordlists of wu shu.
::::*自行车:the directory is empty.
::::*其他:include the wordlists about fencing,judo,wrestling,yoga.
:::*自然科学
::::*化学:include the wordlists of chemistry.
::::*生物:include the wordlists of biology.
::::*数学:include the wordlists of math.
::::*天文学:include the wordlists of astronomy.
::::*物理:include the wordlists of physics.
::::*其他:include the wordlists of stone.
##include directory :movie(include many wordlists about movie major)

DataBase

2014-02-19T06:25:33Z

Lxs：

==lm==
{| class="wikitable"
! name !! size !! dir !! description
|-
|SogouQ.full.3gram.gz ||132M ||/work/lxs/nlphome/lm/SogouQ-500M ||
|-
|SogouQ.full.train.3gram.gz || 132M || /work/lxs/nlphome/lm/SogouQ-500M ||
|-
|SogouT-11w-merge2-1.3gram.gz || 4.1G ||/work/lxs/nlphome/lm/SogouT-140G ||
|-
|SogouT-11w-merge2-2.3gram.gz || 3.9G || /work/lxs/nlphome/lm/SogouT-140G ||
|-
|8w8.3gram.tencent.gz || 452M || /work/lxs/nlphome/lm/Tencent ||
|-
|musicQuery-ltc.3gram.gz || 28M || /work/lxs/nlphome/lm/TencentQ/musicQuery ||use qa15w-singer-songs.wordlist
|-
|TencentQ.3gram.gz || 1.4G || /work/lxs/nlphome/lm/TencentQ/qa15w ||use qa15w.lexicion
|-
|mix-corp1-corp2.3gram.gz || 1.3G ||/work/lxs/nlphome/lm/TencentQ/qa15w-nosinger-song||use qa15w-nosinger-song.wordlist
|-
|mix-corp1_0.5-corp2_0.5.3gram.gz||1.4G||/work/lxs/nlphome/lm/TencentQ/qa15w-singer-song||use qa15w-singer-song.wordlist
|-
|11w_merge6_kn.3gram.gz||4.3G||/work/lxs/nlphome/lm/TencentQA-100G||
|-
|8w8_new_merge6_kn.3gram0.gz||4.5G||/work/lxs/nlphome/lm/TencentQA-100G||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-5.3gram.gz||1.4M||/work/lxs/nlphome/lm/jietong||
|-
|Hunhe_zhongzi_and_add_and_PPL_5yuan_3e9.lm.utf8.1e-9.5gram.gz||389M||/work/lxs/nlphome/lm/jietong||
|}

==lexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.lexicion||74k ||/work/lxs/nlphome/dict/lex-wordlist/music/lr ||
|-
|singer.low.lexicion||74k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|singer.pinyin||44k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.low.lexicion||255k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|song.pinyin||167k||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
|-
|qa15w-ch-sinovoice.lexicion||2.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w-ch.pinyin||1.7M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|qa15w.lexicion||4.9M||/work/lxs/nlphome/dict/lex-wordlist/qa-check||
|-
|11w.lexicion||3.8M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|-
|8w8.lexicion||2.5M||/work/lxs/nlphome/dict/lex-wordlist/tencent||
|}

==nolexicion wordlist==
{| class="wikitable"
! name !! size !! dir !! description
|-
|singer.wordlist||19k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|song.wordlist||68k||/work/lxs/nlphome/dict/nolex-wordlist/music/lr||
|-
|album.txt||227k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|area.txt||32bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|chart.txt||336bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|drama.txt||7.2k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|language.txt||343bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|singer.txt||42k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|stopwords.txt||6.1k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|song.txt||408k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|style.txt||6.6k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|type.txt||18bit||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||
|-
|entity.txt||590k||/work/lxs/nlphome/dict/nolex-wordlist/music/ltc||merge album area chart drama language singer song stopwords style type
|-
|qa15w.wordlist||1.2M||/work/lxs/nlphome/dict/nolex-wordlist/qa-check||
|-
|11w.wordlist||888k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|8w8.wordlist||666k||/work/lxs/nlphome/dict/nolex-wordlist/tencent||
|-
|scws20w-utf8.wordlist||6.5M||/work/lxs/nlphome/dict/nolex-wordlist||
|}

DataBase

2014-02-19T05:46:13Z

Lxs：

==table 1==
{| class="wikitable"
! name !! type!! size !! dir !! description
|-
|863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit
|-
|emotion||speech||22h ||corpora/emotion||emotional speech for SID, recorded in CSLT. 16k,16bit
|-
|callhome ||text||9.02Mb|| corpora/callhome || callhome chinese speech database transcription
|-
|tcmsd ||speech ||34h,60spk ||corpora/tcmsd|| speech database recorded in Tsinghua, 2002. 16k, 16bit
|-
|timit ||speech ||5.4h ||corpora/timit || English timit database
|-
|gigaword||text || 668MW ||corpora/chinese_gigaword || Gigaword text for Chinese
|-
|ulgur ||speech&text||xju: 141h (tr. 136h) xjnu: 8.54h ||corpora/ulgur ||ulgur speech and text data
|-
|tvboard||speech ||-|| corpora/tvboard ||tv and broadcast no-transcribed archieve
|-
|weibo || text||10Gb|| corpora/weibo || English weibo text data
|-
|qa || text||124Gb|| corpora/qa || QA text data
|-
|pvad||speech||5.4h||corpora/puqiang/VAD || speech data for VAD, from Pachira
|-
|ppoi||speech||208h||corpora/puqiang/poi || 8k telephone speech in poi from Pachira
|-
|T400||speech||400h||corpora/tencent ||speech data from Tencent
|-
|dt700 ||speech||700h||corpora/tencent/dt700 ||700 hour reading speech data
|-
|legend-vod || speech ||-||corpora/legend-vod ||some test speech and vod
|-
|mobil-eng || speech ||26h||corpora/lenvxx/data/wav/mobil-eng ||english speech of chinese people
|-
|legend-online || speech ||54h||corpora/lenvxx/data/wav/real-online || online speech data
|-
|legend-wakeup || speech ||1h||corpora/lenvxx/data/wav/wake-up || wake up test speech
|-
|legend-reading || speech ||21h||corpora/lenvxx/data/wav/haitian || reading speech
|-
|legend-sel-for-test || speech ||21h||corpora/lenvxx/data/wav/sel_for_test || reading speech
|-
|POI-lexicon || lexicon ||-||corpora/lenvxx/data/lexicon || lexicon for POI applications
|-
|NLPR || lexicon,categories ||-||corpora/lenvxx/data/text/nlpcorpus || resources of NLP tasks
|-
|serviceT || text ||-||corpora/lenvxx/data/text/service_text || text recorded from online service
|-
|sougouText || text ||-||corpora/sogou || sogouQ and sogouT
|-
|wsj || speech ||100h||corpora/wsj ||wall-street journal speech db
|-
|hownet || lexicon || - || corpora/hownet || HowNet relation db
|-
|casia || speech ||4000 u || corpora/tts/casia || male TTS speech
|-
|huilan-tts || speech ||2000 u || corpora/tts/huilan || male/female TTS speech from Huilan
|-
|tts-novel || speech ||20h || corpora/tts/novel || speech data download from internet for tts
|-
|Sinovoice-tel || speech || 470h+300h || corpora/sinovoice/tel || telephone speech data from Sinovoice
|-
|Sinovoice-16k || speech || 6000h || corpora/sinovoice/16k || mobile 16k speech data from Sinovoice
|-
|}

==table 2==
{| class="wikitable"
! name !! type!! size !! dir !! description
|-
|863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit
|-
|}

DataBase

2014-02-19T05:45:42Z

Lxs：

{| class="wikitable"
! name !! type!! size !! dir !! description
|-
|863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit
|-
|emotion||speech||22h ||corpora/emotion||emotional speech for SID, recorded in CSLT. 16k,16bit
|-
|callhome ||text||9.02Mb|| corpora/callhome || callhome chinese speech database transcription
|-
|tcmsd ||speech ||34h,60spk ||corpora/tcmsd|| speech database recorded in Tsinghua, 2002. 16k, 16bit
|-
|timit ||speech ||5.4h ||corpora/timit || English timit database
|-
|gigaword||text || 668MW ||corpora/chinese_gigaword || Gigaword text for Chinese
|-
|ulgur ||speech&text||xju: 141h (tr. 136h) xjnu: 8.54h ||corpora/ulgur ||ulgur speech and text data
|-
|tvboard||speech ||-|| corpora/tvboard ||tv and broadcast no-transcribed archieve
|-
|weibo || text||10Gb|| corpora/weibo || English weibo text data
|-
|qa || text||124Gb|| corpora/qa || QA text data
|-
|pvad||speech||5.4h||corpora/puqiang/VAD || speech data for VAD, from Pachira
|-
|ppoi||speech||208h||corpora/puqiang/poi || 8k telephone speech in poi from Pachira
|-
|T400||speech||400h||corpora/tencent ||speech data from Tencent
|-
|dt700 ||speech||700h||corpora/tencent/dt700 ||700 hour reading speech data
|-
|legend-vod || speech ||-||corpora/legend-vod ||some test speech and vod
|-
|mobil-eng || speech ||26h||corpora/lenvxx/data/wav/mobil-eng ||english speech of chinese people
|-
|legend-online || speech ||54h||corpora/lenvxx/data/wav/real-online || online speech data
|-
|legend-wakeup || speech ||1h||corpora/lenvxx/data/wav/wake-up || wake up test speech
|-
|legend-reading || speech ||21h||corpora/lenvxx/data/wav/haitian || reading speech
|-
|legend-sel-for-test || speech ||21h||corpora/lenvxx/data/wav/sel_for_test || reading speech
|-
|POI-lexicon || lexicon ||-||corpora/lenvxx/data/lexicon || lexicon for POI applications
|-
|NLPR || lexicon,categories ||-||corpora/lenvxx/data/text/nlpcorpus || resources of NLP tasks
|-
|serviceT || text ||-||corpora/lenvxx/data/text/service_text || text recorded from online service
|-
|sougouText || text ||-||corpora/sogou || sogouQ and sogouT
|-
|wsj || speech ||100h||corpora/wsj ||wall-street journal speech db
|-
|hownet || lexicon || - || corpora/hownet || HowNet relation db
|-
|casia || speech ||4000 u || corpora/tts/casia || male TTS speech
|-
|huilan-tts || speech ||2000 u || corpora/tts/huilan || male/female TTS speech from Huilan
|-
|tts-novel || speech ||20h || corpora/tts/novel || speech data download from internet for tts
|-
|Sinovoice-tel || speech || 470h+300h || corpora/sinovoice/tel || telephone speech data from Sinovoice
|-
|Sinovoice-16k || speech || 6000h || corpora/sinovoice/16k || mobile 16k speech data from Sinovoice
|-
|}

==table 2==
{| class="wikitable"
! name !! type!! size !! dir !! description
|-
|863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit
|-
|}

DataBase

2014-02-19T05:45:06Z

Lxs：

{| class="wikitable"
! name !! type!! size !! dir !! description
|-
|863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit
|-
|emotion||speech||22h ||corpora/emotion||emotional speech for SID, recorded in CSLT. 16k,16bit
|-
|callhome ||text||9.02Mb|| corpora/callhome || callhome chinese speech database transcription
|-
|tcmsd ||speech ||34h,60spk ||corpora/tcmsd|| speech database recorded in Tsinghua, 2002. 16k, 16bit
|-
|timit ||speech ||5.4h ||corpora/timit || English timit database
|-
|gigaword||text || 668MW ||corpora/chinese_gigaword || Gigaword text for Chinese
|-
|ulgur ||speech&text||xju: 141h (tr. 136h) xjnu: 8.54h ||corpora/ulgur ||ulgur speech and text data
|-
|tvboard||speech ||-|| corpora/tvboard ||tv and broadcast no-transcribed archieve
|-
|weibo || text||10Gb|| corpora/weibo || English weibo text data
|-
|qa || text||124Gb|| corpora/qa || QA text data
|-
|pvad||speech||5.4h||corpora/puqiang/VAD || speech data for VAD, from Pachira
|-
|ppoi||speech||208h||corpora/puqiang/poi || 8k telephone speech in poi from Pachira
|-
|T400||speech||400h||corpora/tencent ||speech data from Tencent
|-
|dt700 ||speech||700h||corpora/tencent/dt700 ||700 hour reading speech data
|-
|legend-vod || speech ||-||corpora/legend-vod ||some test speech and vod
|-
|mobil-eng || speech ||26h||corpora/lenvxx/data/wav/mobil-eng ||english speech of chinese people
|-
|legend-online || speech ||54h||corpora/lenvxx/data/wav/real-online || online speech data
|-
|legend-wakeup || speech ||1h||corpora/lenvxx/data/wav/wake-up || wake up test speech
|-
|legend-reading || speech ||21h||corpora/lenvxx/data/wav/haitian || reading speech
|-
|legend-sel-for-test || speech ||21h||corpora/lenvxx/data/wav/sel_for_test || reading speech
|-
|POI-lexicon || lexicon ||-||corpora/lenvxx/data/lexicon || lexicon for POI applications
|-
|NLPR || lexicon,categories ||-||corpora/lenvxx/data/text/nlpcorpus || resources of NLP tasks
|-
|serviceT || text ||-||corpora/lenvxx/data/text/service_text || text recorded from online service
|-
|sougouText || text ||-||corpora/sogou || sogouQ and sogouT
|-
|wsj || speech ||100h||corpora/wsj ||wall-street journal speech db
|-
|hownet || lexicon || - || corpora/hownet || HowNet relation db
|-
|casia || speech ||4000 u || corpora/tts/casia || male TTS speech
|-
|huilan-tts || speech ||2000 u || corpora/tts/huilan || male/female TTS speech from Huilan
|-
|tts-novel || speech ||20h || corpora/tts/novel || speech data download from internet for tts
|-
|Sinovoice-tel || speech || 470h+300h || corpora/sinovoice/tel || telephone speech data from Sinovoice
|-
|Sinovoice-16k || speech || 6000h || corpora/sinovoice/16k || mobile 16k speech data from Sinovoice
|-
|}
{| class="wikitable"
! name !! type!! size !! dir !! description
|}

DataBase

2014-02-19T05:44:11Z

Lxs：以内容“{| class="wikitable" ! name !! type!! size !! dir !! description |- |863 ||speech||51h, 76spk || corpora/863 || 863 reading speech database. 16k,16bit |- |emotion||s...”创建新页面

ASR-based QA system

2014-02-19T05:42:59Z

Lxs：

[[2014-1-20 summary-team]]

[[DataBase]]

140120 - Xuesheng Li

2014-01-20T04:17:10Z

Lxs：

weekly summary 
1. learn n-gram and Linux 
2. train some language model 

next week 
1. continue help liu rong to train some language model 
2. analyze ang compare the different in language model,and give a better language model

2014-01-20

2014-01-20T04:16:04Z

Lxs：

[[140120 - Mengyuan Zhao]]

[[140120 - Han Qiu]]

[[140120 - Xiaoxi Wang]]

[[140120 - Xuesheng Li]]

140120 - Xuesheng Li

2014-01-20T04:14:57Z

Lxs：以内容“weekly summary 1. learn n-gram and Linux 2. train some language model next week 1. continue help liu rong to train some language model 2. analyze ang compare the d...”创建新页面

weekly summary
1. learn n-gram and Linux
2. train some language model

next week
1. continue help liu rong to train some language model
2. analyze ang compare the different in language model,and give a better language model