Sciweavers

26 search results - page 2 / 6
» Training a Parser for Machine Translation Reordering
Sort
View
NAACL
2007
13 years 5 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
EMNLP
2007
13 years 5 months ago
Chinese Syntactic Reordering for Statistical Machine Translation
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
Chao Wang, Michael Collins, Philipp Koehn
LREC
2008
155views Education» more  LREC 2008»
13 years 5 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
ACL
2004
13 years 5 months ago
Statistical Machine Translation by Parsing
In an ordinary syntactic parser, the input is a string, and the grammar ranges over strings. This paper explores generalizations of ordinary parsing algorithms that allow the inpu...
I. Dan Melamed
ICCPOL
2009
Springer
13 years 11 months ago
Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang