Learning machine translation
Editors: Cyril Goutte, Nicola
Cancedda, Marc Dymetman, George Foster
The MIT Press,
(Neural Information Processing Series)
[ISBN: 978-0-262-07297-7]
Table of
Contents
1.
A
statistical machine translation primer
Nicola Cancedda, Marc Dymetman, George Foster, and Cyril Goutte….. pp.1-37
I Enabling technologies
2. Mining patents for parallel corpora
Masao Utiyama and Hitoshi Isahara….. pp.41-58
3.
Automatic
construction of multilingual name dictionaries
a.Bruno Pouliquen
and Ralf Steinberger …. pPp.59-78
4.
Named
entity transliteration and discovery in multilingual corpora
a.Alexandre Klementiev
and Dan Roth … pp. 79-92
5.
Combination
of statistical word alignments based on multiple preprocessing
schemes
Jakob Elming,
Nizar Habash and Josep M. Crego
…. pPp.93-110
6.
Linguistically
enriched word-sequence kernels for discriminative language modelling
a.Pierre Mahé and Nicola Cancedda …. pPp.111-128
II Machine
translation
7.
Toward
purely discriminative training for tree-structured translation models
a.Benjamin Wellington,
Joseph Turian and I.Dan Melamed … pp.131-149
8.
Reranking for large-scale
statistical machine translation
a.Kenji Yamada and Ion Muslea …. pPp.151-168
9.
Kernel-based
machine translation
a.Zhuoran Wang and John Shawe-Taylor … pp.169-184
10.
Statistical
machine translation through global lexical selection and sentence
reconstruction
a.Srinivas Bangalore, Stephan Kanthak and Patrick Haffner
… pp.185-203
11.
Discriminative
phrase selection for SMT
a.Jesús Giménez
and Lluís Màrquez
… pp.205-236
12.
Semisupervised learning for machine
translation
a.Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar …. pPp.237-256
13.
Learning
to combine machine translation systems
Evgeny
Matusov, Gregor Leusch and
Hermann Ney …
pp.257-276