“Asr-nsfc-weekly-2016-11-21”版本间的差异

2016年11月21日 (一) 14:07的版本

Date	People	Last Week	This Week
2016.11.21
	清华	哈语声学模型(TDNN)训练完毕哈语语料训练语言模型，并用于解码[1]:语料与训练集的domain符合度有待检查	获取合适的语料训练语言模型，完成baseline
	新大	Kazak language vocabulary extraction and acoustic dictionary building tool are finished, can be shared along with Uyghur tools There are still never ending problems with Kazak acoustic rules and spelling, we spent a lot of time on correcting. We built character and acoustic layers of corpora compilation for Uyghur and Kazak. We hope to have a common structure for every language.	We plan to conclude a relatively complete syllable structure and use it for spell checking and correcting various corpora. We appointed students to make a double directional text-numeric transformation tool. A third layer of morphological analyzer tool is designed for multilingual purpose first for Uyghur and Kazak language, mainly for sub-word analysis.
	民大	确定了口语发音文本校对拉萨话发音词典300条	选择书面语发音文本藏语拉萨话发音词典的校对蒙语词典录入

Date	People	Last Week	This Week
2016.11.14
	清华	哈语模型初始模型训练完成需新大检查哈语语音数据需新大上传语言模型语料	完成训练哈语声学模型
	新大	完成哈萨克语的文字代码转换，代码归一化等。完成了6480个哈萨克词条的人工发音辞典。同时修改了哈萨克“语音-文本”语料中的一些拼写错误。	要完成哈萨克语言的发音辞典，包括人工和自动部分。对哈萨克语音语料种的“语音-文本”不对齐，缺失等进行检查，并修改。检查哈萨克语言模型语料中的问题，并为建立LM模型做准备。
	民大	口语发音文本的选择	确定口语发音文本藏语拉萨话发音词典的校对蒙语词典录入

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 * We built character and acoustic layers of corpora compilation for Uyghur and Kazak. We hope to have a common structure for every language.
 ||
-* We plan to conclude a relatively complete syllable structure and use it for spelling checking and correcting various corpora.
+* We plan to conclude a relatively complete syllable structure and use it for spell checking and correcting various corpora.
 * We appointed students to make a double directional text-numeric transformation tool.
 * A third layer of morphological analyzer tool is designed for multilingual purpose first for Uyghur and Kazak language, mainly for sub-word analysis.