Abstract
This article describes advances in Czech – Signed Speech translation. A method using a new criterion based on minimal loss principle for log-linear model phrase extraction was introduced and it was evaluated against two another criteria. The performance of phrase table extracted with introduced method was compared with performance of two another phrase tables (manually and automatically extracted). A new criterion for semantic agreement evaluation of translations was introduced too.
This research was supported by the Grant Agency of Academy of Sciences of the Czech Republic, project No. 1ET101470416 and by the Ministry of Education of the Czech Republic, project No. MŠMT LC536.
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References
Och, F.J., Ney, H.: Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. In: Proc. 40th Annual Meeting of the ACL, Philadelphia, PA, July 2002, pp. 295–302 (2002)
Och, F.J.: Minimum Error Rate Training in Statistical Machine Translation. In: Proc. 41st Annual Meeting of the ACL, Sapporo, Japan (July 2003)
Koehn, P., et al.: Statistical Phrase-Based Translation. In: HLT/NAACL (2003)
Kanis, J., et al.: Czech-sign speech corpus for semantic based machine translation. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2006. LNCS (LNAI), vol. 4188, pp. 613–620. Springer, Heidelberg (2006)
Jurčíček, F., et al.: Extension of HVS semantic parser by allowing left-right branching. In: International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, USA (2008)
Koehn, P., et al.: Moses: Open Source Toolkit for Statistical Machine Translation. In: Annual Meeting of the ACL, Prague, Czech Republic (June 2007)
Och, F.J., Ney, H.: A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics 29(1), 19–51 (2003)
Zens, R.: Phrase-based Statistical Machine Translation: Models, Search, Training. PhD thesis, RWTH Aachen University, Aachen, Germany (February 2008)
Deng, Y., et al.: Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair? In: Proceedings of ACL 2008: HLT, Columbus, Ohio, June 2008, pp. 81–88 (2008)
Lavecchia, C.: el al.: Phrase-Based Machine Translation based on Simulated Annealing. In: Proceedings of the Sixth International Conference on Language Resources and Evaluation, Marrakech, Morocco, ELRA (2008)
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Kanis, J., Müller, L. (2009). Advances in Czech – Signed Speech Translation. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2009. Lecture Notes in Computer Science(), vol 5729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04208-9_10
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DOI: https://doi.org/10.1007/978-3-642-04208-9_10
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