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Accelerated DP based search for statistical translation

Open access
Tillmann, C., Vogel, S., Ney, Hermann, Zubiaga, A., Sawaf, H.·1997·5th European Conference on Speech Communication and Technology (Eurospeech 1997)

Abstract

In this paper, we describe a fast search algorithm for statistical translation based on dynamic programming (DP) and present experimental results.The approach is based on the assumption that the word alignment is monotone with respect to the word order in both languages.To reduce the search eort for this approach, we introduce two methods: an acceleration technique to eciently compute the dynamic programming recursion equation and a beam search strategy as used in speech recognition.The experimental tests carried out on the Verbmobil corpus showed that the search space, measured by the number of translation hypotheses, is reduced by a factor of about 230 without aecting the translation performance.

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Metadata

Authors
Tillmann, C., Vogel, S., Ney, H., Zubiaga, A., & Sawaf, H.
Venue
5th European Conference on Speech Communication and Technology (Eurospeech 1997)
Publisher
ISCA
Published
1997-09-22
Pages
2667-2670
OpenAlex
W1603508585
Cited by
232
References
0
FWCI
3.19
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Accelerated DP based search for statistical translation. https://app.cochat.ai/papers/10.21437/eurospeech.1997-673
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Tillmann, C., Vogel, S., Ney, H., Zubiaga, A., & Sawaf, H. (1997). Accelerated DP based search for statistical translation. 5th European Conference on Speech Communication and Technology (Eurospeech 1997). https://doi.org/10.21437/eurospeech.1997-673

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