New language models using phrase structures extracted from parse trees

Takatoshi Jitsuhiro; Hirofumi Yamamoto; Setsuo Yamada; Yoshinori Sagisaka

New language models using phrase structures extracted from parse trees

Takatoshi Jitsuhiro, Hirofumi Yamamoto, Setsuo Yamada, Yoshinori Sagisaka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a new speech recognition scheme using three linguistic constraints. Multi-class composite bigram models [1] are used in the first and second passes to reflect word-neighboring characteristics as an extension of conventional word n-gram models. Trigram models with constituent boundary markers and word pattern models are both used in the third pass to utilize phrasal constraints and headword co-occurrences, respectively. These two models are made using a training text corpus with phrase structures given by an example based Transfer-Driven Machine Translation (TDMT) parser [2]. Speech recognition experiments show that the new recognition scheme reduces word errors 9.50% from the conventional scheme by using word-neighboring characteristics, that is only the multi-class composite bigram models.

Original language	English
Title of host publication	EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
Editors	Borge Lindberg, Henrik Benner, Paul Dalsgaard, Zheng-Hua Tan
Publisher	International Speech Communication Association
Pages	697-700
Number of pages	4
ISBN (Electronic)	8790834100, 9788790834104
Publication status	Published - 2001
Externally published	Yes
Event	7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark Duration: 2001 Sept 3 → 2001 Sept 7

Publication series

Name	EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Other

Other	7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
Country/Territory	Denmark
City	Aalborg
Period	01/9/3 → 01/9/7

ASJC Scopus subject areas

Communication
Linguistics and Language
Computer Science Applications
Software

Cite this

Jitsuhiro, T., Yamamoto, H., Yamada, S., & Sagisaka, Y. (2001). New language models using phrase structures extracted from parse trees. In B. Lindberg, H. Benner, P. Dalsgaard, & Z-H. Tan (Eds.), EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology (pp. 697-700). (EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology). International Speech Communication Association.

New language models using phrase structures extracted from parse trees. / Jitsuhiro, Takatoshi; Yamamoto, Hirofumi; Yamada, Setsuo et al.
EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology. ed. / Borge Lindberg; Henrik Benner; Paul Dalsgaard; Zheng-Hua Tan. International Speech Communication Association, 2001. p. 697-700 (EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jitsuhiro, T, Yamamoto, H, Yamada, S & Sagisaka, Y 2001, New language models using phrase structures extracted from parse trees. in B Lindberg, H Benner, P Dalsgaard & Z-H Tan (eds), EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology. EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology, International Speech Communication Association, pp. 697-700, 7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001, Aalborg, Denmark, 01/9/3.

Jitsuhiro T, Yamamoto H, Yamada S, Sagisaka Y. New language models using phrase structures extracted from parse trees. In Lindberg B, Benner H, Dalsgaard P, Tan Z-H, editors, EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology. International Speech Communication Association. 2001. p. 697-700. (EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology).

Jitsuhiro, Takatoshi ; Yamamoto, Hirofumi ; Yamada, Setsuo et al. / New language models using phrase structures extracted from parse trees. EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology. editor / Borge Lindberg ; Henrik Benner ; Paul Dalsgaard ; Zheng-Hua Tan. International Speech Communication Association, 2001. pp. 697-700 (EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology).

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title = "New language models using phrase structures extracted from parse trees",

abstract = "This paper proposes a new speech recognition scheme using three linguistic constraints. Multi-class composite bigram models [1] are used in the first and second passes to reflect word-neighboring characteristics as an extension of conventional word n-gram models. Trigram models with constituent boundary markers and word pattern models are both used in the third pass to utilize phrasal constraints and headword co-occurrences, respectively. These two models are made using a training text corpus with phrase structures given by an example based Transfer-Driven Machine Translation (TDMT) parser [2]. Speech recognition experiments show that the new recognition scheme reduces word errors 9.50% from the conventional scheme by using word-neighboring characteristics, that is only the multi-class composite bigram models.",

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AB - This paper proposes a new speech recognition scheme using three linguistic constraints. Multi-class composite bigram models [1] are used in the first and second passes to reflect word-neighboring characteristics as an extension of conventional word n-gram models. Trigram models with constituent boundary markers and word pattern models are both used in the third pass to utilize phrasal constraints and headword co-occurrences, respectively. These two models are made using a training text corpus with phrase structures given by an example based Transfer-Driven Machine Translation (TDMT) parser [2]. Speech recognition experiments show that the new recognition scheme reduces word errors 9.50% from the conventional scheme by using word-neighboring characteristics, that is only the multi-class composite bigram models.

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ER -

New language models using phrase structures extracted from parse trees

Abstract

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