Abstract
Finite state transducers can be automatically learnt from bilingual corpus, and they can be easily integrated in an automatic speech recognition system for speech translation applications. In this work we explore the possibility of using k-testable language models to generate translations models. We report speech translation results for one easy and well known task, EuTrans (Spanish-English), and for other similar task, Euskal Turista (Spanish-Basque). Euskal Turista has proved to be a quite difficult task because of the distance between the languages involved.
This work has been partially supported by the Universidad del País Vasco, under grant 9/UPV 00224.310-15900/2004 and by the Spanish CICYT under project TIN2005-08660-C04-03.
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© 2006 Springer-Verlag Berlin Heidelberg
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Pérez, A., Casacuberta, F., Torres, I., Guijarrubia, V. (2006). Finite State Transducers Based on k-TSS Grammars for Speech Translation. In: Yli-Jyrä, A., Karttunen, L., Karhumäki, J. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2005. Lecture Notes in Computer Science(), vol 4002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780885_33
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DOI: https://doi.org/10.1007/11780885_33
Publisher Name: Springer, Berlin, Heidelberg
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