Articoli correlati a The Regression Model of Machine Translation: Learning,...
The Regression Model of Machine Translation: Learning, Instance Selection, Decoding, and Evaluation - Brossura
Sinossi
Regression based machine translation (RegMT) model provides a learning framework for machine translation, separating learning models for training, training instance selection, feature representation, and decoding. Transductive learning approach employs training instance selection algorithms that not only make RegMT computationally more scalable but also improve the performance of standard statistical machine translation (SMT) systems. Sparse regression models for SMT are introduced and the obtained results demonstrate that sparse regression models perform better than other learning models in predicting target features, estimating word alignments, creating phrase tables, and generating translation outputs. We develop good evaluation techniques for measuring the performance of the RegMT model and the quality of the translations. We demonstrate that sparse L1 regularized regression performs better than L2 regularized regression in the German-English translation task and in the Spanish-English translation task when using small sized training sets. Graph based decoding can provide an alternative to phrase-based decoding in translation domains having low vocabulary.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Mehmet Ergun Biçici received his Bachelor of Science degree in Computer Science from Bilkent University, Ankara, Turkey in 2000. He obtained Master of Science degree in Computer Science from North Carolina State University, USA, in 2002. He obtained the Doctor of Philosophy degree in Computer Engineering at Koç University, Istanbul, Turkey in 2011.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreLAP LAMBERT Academic Publishing
- Data di pubblicazione2011
- ISBN 10 3846507490
- ISBN 13 9783846507490
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine172
- Contatto del produttorenon disponibile
Compra nuovo
Visualizza questo articolo
EUR 55,21
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiRisultati della ricerca per The Regression Model of Machine Translation: Learning,...
Immagini fornite dal venditore
The Regression Model of Machine Translation
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 5495410
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
The Regression Model of Machine Translation
Editore:
LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regression based machine translation (RegMT) model provides a learning framework for machine translation, separating learning models for training, training instance selection, feature representation, and decoding. Transductive learning approach employs training instance selection algorithms that not only make RegMT computationally more scalable but also improve the performance of standard statistical machine translation (SMT) systems. Sparse regression models for SMT are introduced and the obtained results demonstrate that sparse regression models perform better than other learning models in predicting target features, estimating word alignments, creating phrase tables, and generating translation outputs. We develop good evaluation techniques for measuring the performance of the RegMT model and the quality of the translations. We demonstrate that sparse L1 regularized regression performs better than L2 regularized regression in the German-English translation task and in the Spanish-English translation task when using small sized training sets. Graph based decoding can provide an alternative to phrase-based decoding in translation domains having low vocabulary. 172 pp. Englisch. Codice articolo 9783846507490
Quantità: 2 disponibili
Immagini fornite dal venditore
The Regression Model of Machine Translation : Learning, Instance Selection, Decoding, and Evaluation
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Regression based machine translation (RegMT) model provides a learning framework for machine translation, separating learning models for training, training instance selection, feature representation, and decoding. Transductive learning approach employs training instance selection algorithms that not only make RegMT computationally more scalable but also improve the performance of standard statistical machine translation (SMT) systems. Sparse regression models for SMT are introduced and the obtained results demonstrate that sparse regression models perform better than other learning models in predicting target features, estimating word alignments, creating phrase tables, and generating translation outputs. We develop good evaluation techniques for measuring the performance of the RegMT model and the quality of the translations. We demonstrate that sparse L1 regularized regression performs better than L2 regularized regression in the German-English translation task and in the Spanish-English translation task when using small sized training sets. Graph based decoding can provide an alternative to phrase-based decoding in translation domains having low vocabulary. Codice articolo 9783846507490
Quantità: 1 disponibili
Immagini fornite dal venditore
The Regression Model of Machine Translation
Editore:
LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -Regression based machine translation (RegMT) model provides a learning framework for machine translation, separating learning models for training, training instance selection, feature representation, and decoding. Transductive learning approach employs training instance selection algorithms that not only make RegMT computationally more scalable but also improve the performance of standard statistical machine translation (SMT) systems. Sparse regression models for SMT are introduced and the obtained results demonstrate that sparse regression models perform better than other learning models in predicting target features, estimating word alignments, creating phrase tables, and generating translation outputs. We develop good evaluation techniques for measuring the performance of the RegMT model and the quality of the translations. We demonstrate that sparse L1 regularized regression performs better than L2 regularized regression in the German-English translation task and in the Spanish-English translation task when using small sized training sets. Graph based decoding can provide an alternative to phrase-based decoding in translation domains having low vocabulary.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch. Codice articolo 9783846507490
Quantità: 2 disponibili
Foto dell'editore
The Regression Model of Machine Translation: Learning, Instance Selection, Decoding, and Evaluation
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 172 pages. 8.66x5.91x0.39 inches. In Stock. Codice articolo __3846507490
Quantità: 1 disponibili
Foto dell'editore
The Regression Model of Machine Translation: Learning, Instance Selection, Decoding, and Evaluation
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 172 pages. 8.66x5.91x0.39 inches. In Stock. Codice articolo 3846507490
Quantità: 1 disponibili
Foto dell'editore
The Regression Model of Machine Translation: Learning, Instance Selection, Decoding, and Evaluation
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507490
ISBN 13: 9783846507490
Nuovo
paperback
Da: dsmbooks, Liverpool, Regno Unito
Valutazione del venditore 4 su 5 stelle
paperback. Condizione: New. New. book. Codice articolo D8S0-3-M-3846507490-6
Quantità: 1 disponibili