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Learning Machine Translation

Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (eds)

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.001.0001
Subject:
Computer Science, Machine Learning

The Internet gives us access to a wealth of information in languages we don’t understand. The investigation of automated or semi-automated approaches to translation has become a thriving research ... More


Reranking for Large-Scale Statistical Machine Translation

Kenji Yamada and Ion Muslea

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0008
Subject:
Computer Science, Machine Learning

Statistical machine translation (SMT) systems, which are trained on parallel corpora of bilingual text (e.g., French and English), typically work as follows: for each sentence to be translated, they ... More


Discriminative Phrase Selection for SMT

Jesús Giménez and Lluís Màrquez

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0011
Subject:
Computer Science, Machine Learning

This chapter explores the application of discriminative learning to the problem of phrase selection in statistical machine translation (SMT). The chapter is organized as follows. Section 11.2 ... More


Semisupervised Learning for Machine Translation

Nicola Ueffing, Gholamreza Haffari, and Anoop Sarkar

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0012
Subject:
Computer Science, Machine Learning

This chapter proposes algorithms for semisupervised learning. It translates sentences from the source language and then uses them to retrain the statistical machine translation (SMT) system in the ... More


Toward Purely Discriminative Training for Tree-Structured Translation Models

Benjamin Wellington, Joseph Turian, and I. Dan Melamed

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0007
Subject:
Computer Science, Machine Learning

This chapter presents a method for training all the parameters of a syntax-aware statistical machine translation (MT) system in a discriminative manner. The system outperforms a generative ... More


Linguistically Enriched Word-Sequence Kernels for Discriminative Language Modeling

Pierre Mahé and Nicola Cancedda

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0006
Subject:
Computer Science, Machine Learning

This chapter introduces a method for taking advantage of background linguistic resources in statistical machine translation. It starts with a brief introduction to word-sequence kernels, followed by ... More


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