- -

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 sencillo del ítem

Ficheros en el ítem

[Cerrado]
Nombre: Explicit Length ...
Tamaño: 167.7Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Silvestre Cerdà, Joan Albert es_ES
dc.contributor.author Andrés Ferrer, Jesús es_ES
dc.contributor.author Civera Saiz, Jorge es_ES
dc.date.accessioned 2014-02-18T12:59:50Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-21256-7
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/35749
dc.description.abstract 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 translation (SMT) are presented. More precisely, we incorporate explicit length modelling in a state-of-the-art log-linear SMT system as an additional feature function in order to prove the contribution of length information. Finally, promising experimental results are reported on a reference SMT task. © 2011 Springer-Verlag. es_ES
dc.description.sponsorship 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 erudito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067, and by the “Vicerrectorado de Investigaci´on de la UPV” under grant 20091027.
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;vol. 6669;
dc.rights Reserva de todos los derechos es_ES
dc.subject Length modelling es_ES
dc.subject Log-linear models es_ES
dc.subject Phrase-based models es_ES
dc.subject Statistical machine translation es_ES
dc.subject Pattern recognition es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Explicit length modelling for statistical machine translation es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-21257-4_34
dc.relation.projectID info:eu-repo/grantAgreement/UPV//20091027/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2010%2F067/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14511/ES/Traduccion De Textos Y Transcripcion De Voz Interactivas/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 5th Iberian Conference, IbPRIA 2011 es_ES
dc.relation.conferencedate June 8-10, 2011 es_ES
dc.relation.conferenceplace Las Palmas de Gran Canaria, Spain es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-21257-4_34 es_ES
dc.description.upvformatpinicio 273 es_ES
dc.description.upvformatpfin 280 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6669 es_ES
dc.relation.senia 218878
dc.contributor.funder Ministerio de Educación y Ciencia
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Universitat Politècnica de València
dc.contributor.funder European Regional Development Fund
dc.contributor.funder European Social Fund
dc.contributor.funder Ministerio de Industria, Turismo y Comercio es_ES
dc.description.references Andrés-Ferrer, J., Juan, A.: A phrase-based hidden semi-markov approach to machine translation. In: Proc. of EAMT, pp. 168–175 (2009) es_ES
dc.description.references Brown, P.F., et al.: The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics 19(2), 263–311 (1993) es_ES
dc.description.references Brown, P.F., et al.: Aligning sentences in parallel corpora. In: Proc. of ACL, pp. 169–176 (1991) es_ES
dc.description.references Chen, S.F., Goodman, J.: An empirical study of smoothing techniques for language modeling. In: Proc. of ACL, pp. 310–318 (1996) es_ES
dc.description.references 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) es_ES
dc.description.references 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) es_ES
dc.description.references Gale, W.A., Church, K.W.: A program for aligning sentences in bilingual corpora. In: Proc. ACL, pp. 177–184 (1991) es_ES
dc.description.references 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) es_ES
dc.description.references 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) es_ES
dc.description.references Kneser, R.: Statistical language modeling using a variable context length. In: Proc. of ICSLP (1996) es_ES
dc.description.references Koehn, P.: Europarl: A parallel corpus for statistical machine translation. In: Proc. of the MT Summit X, pp. 79–86 (2005) es_ES
dc.description.references Koehn, P.: Statistical significance tests for machine translation evaluation. In: Proc. of EMNLP, pp. 388–395 (2004) es_ES
dc.description.references Koehn, P.: Stadistical Machine Translation. Cambridge University Press, Cambridge (2010) es_ES
dc.description.references Koehn, P., et al.: Statistical phrase-based translation. In: HLT, pp. 48–54 (2003) es_ES
dc.description.references Koehn, P., et al.: Moses: Open source toolkit for statistical machine translation. In: Proc. of ACL (2007) es_ES
dc.description.references Matusov, E., et al.: Automatic Sentence Segmentation and Punctuation Prediction for Spoken Language Translation. In: Proc. of IWSL, pp. 158–165 (2006) es_ES
dc.description.references Och, F.J.: Minimum error rate training in statistical machine translation. In: Proc. of ACL, pp. 160–167 (2003) es_ES
dc.description.references Papineni, K., Roukos, S., Ward, T., Zhu, W.: Bleu: a Method for Automatic Evaluation of Machine Translation. Tech. rep., Watson Research Center (2001) es_ES
dc.description.references Sanchis-Trilles, G., Casacuberta, F.: Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation. In: COLING, pp. 1077–1085 (2010) es_ES
dc.description.references Sichel, H.S.: On a distribution representing sentence-length in written prose. J. Roy. Statistical Society. Series A 137(1), 25–34 (1974) es_ES
dc.description.references 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) es_ES
dc.description.references Venugopal, A., et al.: Effective phrase translation extraction from alignment models. In: Proc. of ACL, pp. 319–326 (2003) es_ES
dc.description.references Zens, R., Ney, H.: N-gram posterior probabilities for statistical machine translation. In: Proceedings of WSMT, pp. 72–77 (2006) es_ES
dc.description.references 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) es_ES
dc.description.references Zimmermann, M., Bunke, H.: Hidden markov model length optimization for handwriting recognition systems. In: Proc. of IWFHR, pp. 369–374 (2002) es_ES


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

Mostrar el registro sencillo del ítem