Speech translation with grammar driven probabilistic phrasal bilexica extraction

Markus Saers; Dekai Wu; Chi Kiu Lo; Karteek Addanki

Speech translation with grammar driven probabilistic phrasal bilexica extraction

Markus Saers^*
, Dekai Wu
, Chi Kiu Lo
, Karteek Addanki

^*Corresponding author for this work

Department of Computer Science and Engineering

Research output: Contribution to journal › Conference article published in journal › peer-review

Abstract

We introduce a new type of transduction grammar that allows for learning of probabilistic phrasal bilexica, leading to a significant improvement in spoken language translation accuracy. The current state-of-the-art in statistical machine translation relies on a complicated and crude pipeline to learn probabilistic phrasal bilexica-the very core of any speech translation system. In this paper, we present a more principled approach to learning probabilistic phrasal bilexica, based on stochastic transduction grammar learning applicable to speech corpora.

Original language	English
Pages (from-to)	2100-2103
Number of pages	4
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication status	Published - 2011
Event	12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 - Florence, Italy Duration: 27 Aug 2011 → 31 Aug 2011

Keywords

Lexicon extraction
Speech translation
Transduction theory

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https://hdl.handle.net/1783.1/55820

Cite this

@article{0430ec01fa70486287ea69f62b6ffb03,

title = "Speech translation with grammar driven probabilistic phrasal bilexica extraction",

abstract = "We introduce a new type of transduction grammar that allows for learning of probabilistic phrasal bilexica, leading to a significant improvement in spoken language translation accuracy. The current state-of-the-art in statistical machine translation relies on a complicated and crude pipeline to learn probabilistic phrasal bilexica-the very core of any speech translation system. In this paper, we present a more principled approach to learning probabilistic phrasal bilexica, based on stochastic transduction grammar learning applicable to speech corpora.",

keywords = "Lexicon extraction, Speech translation, Transduction theory",

author = "Markus Saers and Dekai Wu and Lo, \{Chi Kiu\} and Karteek Addanki",

year = "2011",

language = "English",

pages = "2100--2103",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

publisher = "International Speech Communication Association",

note = "12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 ; Conference date: 27-08-2011 Through 31-08-2011",

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TY - JOUR

T1 - Speech translation with grammar driven probabilistic phrasal bilexica extraction

AU - Saers, Markus

AU - Wu, Dekai

AU - Lo, Chi Kiu

AU - Addanki, Karteek

PY - 2011

Y1 - 2011

N2 - We introduce a new type of transduction grammar that allows for learning of probabilistic phrasal bilexica, leading to a significant improvement in spoken language translation accuracy. The current state-of-the-art in statistical machine translation relies on a complicated and crude pipeline to learn probabilistic phrasal bilexica-the very core of any speech translation system. In this paper, we present a more principled approach to learning probabilistic phrasal bilexica, based on stochastic transduction grammar learning applicable to speech corpora.

AB - We introduce a new type of transduction grammar that allows for learning of probabilistic phrasal bilexica, leading to a significant improvement in spoken language translation accuracy. The current state-of-the-art in statistical machine translation relies on a complicated and crude pipeline to learn probabilistic phrasal bilexica-the very core of any speech translation system. In this paper, we present a more principled approach to learning probabilistic phrasal bilexica, based on stochastic transduction grammar learning applicable to speech corpora.

KW - Lexicon extraction

KW - Speech translation

KW - Transduction theory

UR - https://www.scopus.com/pages/publications/84920755070

M3 - Conference article published in journal

AN - SCOPUS:84920755070

SN - 2308-457X

SP - 2100

EP - 2103

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

T2 - 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011

Y2 - 27 August 2011 through 31 August 2011

ER -

Speech translation with grammar driven probabilistic phrasal bilexica extraction

Abstract

Keywords

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