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Abstract: We describe a method for automatically learning headtransducer models of translation from examples consisting of transcribed spoken utterances and their translations. The method proceeds by first searching for a hierarchical alignment (specifically a synchronized dependency tree) of each training example. The alignments produced are optimal with respect to a cost function that takes into account co-occurrence statistics and the recursive decomposition of the example into aligned substrings. A... (Update)
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BibTeX entry: (Update)
H. Alshawi, S. Bangalore, and S. Douglas. Learning Phrase-based Head Transduction Models for Translation of Spoken Utterances. In The fifth International Conference on Spoken Language Processing (ICSLP98), Sydney, 1998. http://citeseer.ist.psu.edu/alshawi98learning.html More
@misc{ alshawi98learning,
author = "H. Alshawi and S. Bangalore and S. Douglas",
title = "Learning Phrase-based Head Transduction Models for Translation of Spoken
Utterances",
text = "H. Alshawi, S. Bangalore, and S. Douglas. Learning Phrase-based Head Transduction
Models for Translation of Spoken Utterances. In The fifth International
Conference on Spoken Language Processing (ICSLP98), Sydney, 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/alshawi98learning.html" }
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