Stochastic Finite-State models for Spoken Language Machine (2000)
| Venue: | In Proceedings of the Workshop on Embedded Machine Translation Systems |
| Citations: | 16 - 5 self |
BibTeX
@INPROCEEDINGS{Bangalore00stochasticfinite-state,
author = {Yanslation Srinivas Bangalore and Srinivas Bangalore},
title = {Stochastic Finite-State models for Spoken Language Machine},
booktitle = {In Proceedings of the Workshop on Embedded Machine Translation Systems},
year = {2000},
pages = {52--59}
}
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Abstract
Stochastic finite-state models are efficiently learnable from data, effective for decoding and are associated with a calculus for composing models which allows for tight integration of constraints frora various levels of language processing. In this paper, we present a method for stochastic finite-state machine translation that is trained automaticMly from pairs of source and target utterances. We use this method to develop models for English-Japanese and Japanese-English translation. We have embedded the Japanese-English translation system in a call routing task of unconstrained speech utterances. We evaluate the efficacy of the translation system .in the context of this application.
Citations
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| 5 | Learning phrase-based head transduction models for translation of spoken utterances - Alshawi, Bangalore, et al. - 1998 |
| 1 | Two-level morphology: a general computation model for word-form recognition and production - KoskenniemL - 1984 |
