Sciweavers

119 search results - page 11 / 24
» Measuring Word Alignment Quality for Statistical Machine Tra...
Sort
View
119
Voted
EMNLP
2009
15 years 12 days ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
136
Voted
EMNLP
2009
15 years 12 days ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...
117
Voted
NAACL
2004
15 years 4 months ago
Improvements in Phrase-Based Statistical Machine Translation
In statistical machine translation, the currently best performing systems are based in some way on phrases or word groups. We describe the baseline phrase-based translation system...
Richard Zens, Hermann Ney
132
Voted
IBPRIA
2003
Springer
15 years 7 months ago
Combining Phrase-Based and Template-Based Alignment Models in Statistical Translation
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
Jesús Tomás, Francisco Casacuberta
157
Voted
AMTA
2004
Springer
15 years 8 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash