- -

Explicit length modelling for statistical machine translation

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Explicit length modelling for statistical machine translation

Mostrar el registro completo del ítem

Silvestre Cerdà, JA.; Andrés Ferrer, J.; Civera Saiz, J. (2011). Explicit length modelling for statistical machine translation. En Pattern Recognition and Image Analysis. Springer Verlag (Germany). 6669:273-280. https://doi.org/10.1007/978-3-642-21257-4_34

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35749

Ficheros en el ítem

[Cerrado]
Nombre: Explicit Length ...
Tamaño: 167.7Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: Explicit length modelling for statistical machine translation
Autor: Silvestre Cerdà, Joan Albert Andrés Ferrer, Jesús Civera Saiz, Jorge
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Fecha difusión:
Resumen:
Explicit length modelling has been previously explored in statistical pattern recognition with successful results. In this paper, two length models along with two parameter estimation methods for statistical machine ...[+]
Palabras clave: Length modelling , Log-linear models , Phrase-based models , Statistical machine translation , Pattern recognition
Derechos de uso: Cerrado
ISBN: 978-3-642-21256-7
Fuente:
Pattern Recognition and Image Analysis. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-21257-4_34
Editorial:
Springer Verlag (Germany)
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-642-21257-4_34
Título del congreso: 5th Iberian Conference, IbPRIA 2011
Lugar del congreso: Las Palmas de Gran Canaria, Spain
Fecha congreso: June 8-10, 2011
Serie: Lecture Notes in Computer Science;vol. 6669;
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//20091027/
...[+]
info:eu-repo/grantAgreement/UPV//20091027/
info:eu-repo/grantAgreement/GVA//GV%2F2010%2F067/
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/
info:eu-repo/grantAgreement/MICINN//TIN2009-14511/ES/Traduccion De Textos Y Transcripcion De Voz Interactivas/
info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/
info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
[-]
Agradecimientos:
Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects. Also supported by the Spanish MITyC under the ...[+]
Tipo: Capítulo de libro

References

Andrés-Ferrer, J., Juan, A.: A phrase-based hidden semi-markov approach to machine translation. In: Proc. of EAMT, pp. 168–175 (2009)

Brown, P.F., et al.: The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics 19(2), 263–311 (1993)

Brown, P.F., et al.: Aligning sentences in parallel corpora. In: Proc. of ACL, pp. 169–176 (1991) [+]
Andrés-Ferrer, J., Juan, A.: A phrase-based hidden semi-markov approach to machine translation. In: Proc. of EAMT, pp. 168–175 (2009)

Brown, P.F., et al.: The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics 19(2), 263–311 (1993)

Brown, P.F., et al.: Aligning sentences in parallel corpora. In: Proc. of ACL, pp. 169–176 (1991)

Chen, S.F., Goodman, J.: An empirical study of smoothing techniques for language modeling. In: Proc. of ACL, pp. 310–318 (1996)

Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the em algorithm. J. Roy. Statistical Society. Series B 39(1), 1–38 (1977)

Deng, Y., Byrne, W.: HMM word and phrase alignment for statistical machine translation. IEEE Trans. Audio, Speech, and Lang. Proc. 16(3), 494–507 (2008)

Gale, W.A., Church, K.W.: A program for aligning sentences in bilingual corpora. In: Proc. ACL, pp. 177–184 (1991)

Giménez, A., et al.: Modelizado de la longitud para la clasificación de textos. In: Actas del I Workshop de Rec. de Formas y Análisis de Imágenes, pp. 21–28 (2005)

Günter, S., Bunke, H.: HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and gaussian components. Pattern Recognition 37(10), 2069–2079 (2004)

Kneser, R.: Statistical language modeling using a variable context length. In: Proc. of ICSLP (1996)

Koehn, P.: Europarl: A parallel corpus for statistical machine translation. In: Proc. of the MT Summit X, pp. 79–86 (2005)

Koehn, P.: Statistical significance tests for machine translation evaluation. In: Proc. of EMNLP, pp. 388–395 (2004)

Koehn, P.: Stadistical Machine Translation. Cambridge University Press, Cambridge (2010)

Koehn, P., et al.: Statistical phrase-based translation. In: HLT, pp. 48–54 (2003)

Koehn, P., et al.: Moses: Open source toolkit for statistical machine translation. In: Proc. of ACL (2007)

Matusov, E., et al.: Automatic Sentence Segmentation and Punctuation Prediction for Spoken Language Translation. In: Proc. of IWSL, pp. 158–165 (2006)

Och, F.J.: Minimum error rate training in statistical machine translation. In: Proc. of ACL, pp. 160–167 (2003)

Papineni, K., Roukos, S., Ward, T., Zhu, W.: Bleu: a Method for Automatic Evaluation of Machine Translation. Tech. rep., Watson Research Center (2001)

Sanchis-Trilles, G., Casacuberta, F.: Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation. In: COLING, pp. 1077–1085 (2010)

Sichel, H.S.: On a distribution representing sentence-length in written prose. J. Roy. Statistical Society. Series A 137(1), 25–34 (1974)

Uzuner, Ö., Katz, B.: A comparative study of language models for book and author recognition. In: Dale, R., Wong, K.-F., Su, J., Kwong, O.Y. (eds.) IJCNLP 2005. LNCS (LNAI), vol. 3651, pp. 969–980. Springer, Heidelberg (2005)

Venugopal, A., et al.: Effective phrase translation extraction from alignment models. In: Proc. of ACL, pp. 319–326 (2003)

Zens, R., Ney, H.: N-gram posterior probabilities for statistical machine translation. In: Proceedings of WSMT, pp. 72–77 (2006)

Zhao, B., Vogel, S.: A generalized alignment-free phrase extraction. In: Proc. of ACL Workshop on Building and Using Parallel Texts, pp. 141–144 (1995)

Zimmermann, M., Bunke, H.: Hidden markov model length optimization for handwriting recognition systems. In: Proc. of IWFHR, pp. 369–374 (2002)

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem