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语言建模与树替代文法

Language Modeling with Tree Substitution Grammars
课程网址: http://videolectures.net/nipsworkshops09_post_lmtsg/  
主讲教师: Matt Post
开课单位: 罗切斯特大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
我们发现,使用折叠的吉布斯采样器产生的树替换语法(TSG)比标准上下文无关语法和其他启发式训练的TSG对测试数据的困惑更低,这表明它更适合于语言建模。跨TSG派生训练一个更复杂的双线性分析模型显示出进一步的(尽管细微的)改进。我们使用TSG作为语言模型进行分析并指出未来的研究领域。
课程简介: We show that a tree substitution grammar (TSG) induced with a collapsed Gibbs sampler results in lower perplexity on test data than both a standard context-free grammar and other heuristically trained TSGs, suggesting that it is better suited to language modeling. Training a more complicated bilexical parsing model across TSG derivations shows further (though nuanced) improvement. We conduct analysis and point to future areas of research using TSGs as language models.
关 键 词: 树替换文法; 抑癌基因; 建模语言
课程来源: 视频讲座网
最后编审: 2020-06-06:zyk
阅读次数: 23