Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters (2001)

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by Hirofumi Yamamoto , Shuntaro Isogai
Venue:39 th Annual meetings of the Association for Computational Linguistics (ACL’01
Citations:8 - 0 self

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2 Learning a Syntagmatic and Paradigmatic Structure From Language Data With a Bi-Multigram Model – Sabine Deligne, Yoshinori Sagisaka - 1998
4 Hidden Model Sequence Models for Automatic Speech Recognition – Thomas Hain - 2001
The Use of Clustering Techniques for Asian Language Modeling – Jianfeng Gao, Joshua T. Goodman, Jiangbo Miao - 2001
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11 Putting It All Together: Language Model Combination – Joshua T. Goodman
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40 Toward a unified approach to statistical language modeling for Chinese – Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-fu Lee - 2001
7 Adaptive language models for spoken dialogue systems – Roger Argiles Solsona, Eric Fosler-lussier, Hong-kwang J. Kuo, Ros Potamianos, Imed Zitouni - 2002
8 Unsupervised Lexical Learning as Inductive Inference – Chun Yu Kit - 2000
7 The Virtual Corpus Approach to Deriving Ngram Statistics from Large Scale Corpora – Chunyu Kit, Yorick Wilks - 1998
43 Modeling Out-Of-Vocabulary Words For Robust Speech Recognition – Issam Bazzi, James Glass, Arthur C. Smith - 2000
Sethos: The Upc Speech Understanding System – Antonio Bonafonte Jos, José B. Mariño, Albino Nogueiras - 1996
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1 2004, ‘Interaction between paraphraser and transfer for spoken language translation – Kazuhide Yamamoto
4 An Efficient Statistical Speech Act Type Tagging System for Speech Translation Systems – Hideki Tanaka, Akio Yokoo - 1999