Learning machine translation / [edited by] Cyril Goutte [and others].

This title looks at how machine learning can improve machine translation, enabling technologies and new statistical techniques.

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Bibliographic Details
Other Authors: Goutte, Cyril
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©2009.
Series:Neural information processing series.
Subjects:
Online Access:Click for online access
Click for online access
Table of Contents:
  • Series Foreword; Preface; 1 A Statistical Machine Translation Primer; I Enabling Technologies; 2 Mining Patents for Parallel Corpora; 3 Automatic Construction of Multilingual Name Dictionaries; 4 Named Entity Transliteration and Discovery in Multilingual Corpora; 5 Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes; 6 Linguistically Enriched Word-Sequence Kernels for Discriminative Language Modeling; II Machine Translation; 7 Toward Purely Discriminative Training for Tree-Structured Translation Models
  • 8 Reranking for Large-Scale Statistical Machine Translation9 Kernel-Based Machine Translation; 10 Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction; 11 Discriminative Phrase Selection for SMT; 12 Semisupervised Learning for Machine Translation; 13 Learning to Combine Machine Translation Systems; References; Contributors; Index