Proceedings of HLT/EMNLP 2005 Demonstration Abstracts, pages 26–27,. Vancouver, October 2005. Japanese Speech Understanding Using Grammar Specialization.

These experiments show that the language models derived from multilingual parameterized grammar rules perform equally well on both tested languages, ...

PDF | The most common speech understanding architecture for spoken dialogue systems is a combination of speech recognition based on a class N-gram.

The grammar specialization mechanism flattens the grammar into a set of much simpler structures, eliminating the VP level and only permitting specific patterns ...

Oct 7, 2005 · The most common speech understanding architecture for spoken dialogue systems is a combination of speech recognition based on a class N-gram ...

RAYNER, Manny et al. Japanese Speech Understanding Using Grammar Specialization. In: HLT/EMNLP 2005 Interactive Demonstrations. Vancouver (Canada).

Title, Japanese Speech Understanding Using Grammar Specialization ; Publication Type, Conference Paper ; Authors, Rayner, M., Chatzichrisafis N., Bouillon P., ...

Japanese Speech Understanding using Grammar Specialization. ... 場面に特化した文法規則の導入により、認識精度を向上できることを示した。 リンク情報. DBLP: https:// ...

In this paper, we introduce a method of arranging words semantically by using several types of 'is-a' thesauri and a multi-dimensional thesaurus. We also ...

Japanese Speech Understanding using Grammar Specialization. Graham Russell, George Foster and Ngoc Tran Nguyen, Automatic Detection of Translation Errors: The�...