Automatic normalization of short texts by combining statistical and rule-based techniques

Author:

Costa-jussà Marta R.,Banchs Rafael E.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference14 articles.

1. Aw, A., Zhang, M., Xiao, J., & Su, J. (2006). A phrase-base statistical model for sms text normalization. In Proceedings of the COLING/ACL on main conference poster sessions, (pp. 33–40), Sydney, Australia.

2. Brown, P., Della Pietra, S., Della Pietra, V., & Mercer, R., (1993). The mathematics of statistical machine translation. Computational Linguistics, 19(2), 263–311.

3. Callison-Burch, C., Koehn, P., Monz, C., & Zaidan. O. (2011). Findings of the 2011 workshop on statistical machine translation. In Proceedings of the sixth workshop on statistical machine translation, (pp. 22–64), Edinburgh, Scotland, July.

4. Costa-jussà, M. R., & Fonollosa, J. A. R. (2009). State-of-the-art word reordering approaches in statistical machine translation. IEICE Transactions on Information and Systems, 92(11), 2179–2185, November.

5. Henriquez, C., & Hernández, A. (2009). A ngram-based statistical machine translation approach for text normalization on chat-speak style communications. In Proceedings of the CAW2 workshop, Madrid, June.

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