Language Modeling Toolkit: SRILM and IRSTLM

发布时间:2016-02-01  栏目:机器翻译, 自然语言处理, 软件、框架及系统  评论:0 Comments

SRILM is a toolkit for building and applying statistical language models (LMs), primarily for use in speech recognition, statistical tagging and segmentation, and machine translation.

http://www.speech.sri.com/projects/srilm/

 

The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models. Our software has been integrated into a popular open source Statistical Machine Translation decoder called Moses, and is compatible with language models created with other tools, such as the SRILM Tooolkit.

http://hlt-mt.fbk.eu/technologies/irstlm

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杨文龙,微软Principal Engineering Manager, 曾在各家公司担任影像技术资深总监、数据科学团队资深经理、ADAS算法总监、资深深度学习工程师等职位,热爱创新发明,专注于人工智能、深度学习、图像处理、机器学习、算法、自然语言处理及软件等领域,目前发明有国际专利19篇,中国专利28篇。

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