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CICLING
2008
Springer
13 years 9 months ago
A Probabilistic Model for Guessing Base Forms of New Words by Analogy
Language software applications encounter new words, e.g., acronyms, technical terminology, loan words, names or compounds of such words. Looking at English, one might assume that t...
Krister Lindén
CSL
2011
Springer
13 years 2 months ago
Syntax-based reordering for statistical machine translation
In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-bas...
Maxim Khalilov, José A. R. Fonollosa
IJCNLP
2005
Springer
14 years 1 months ago
Empirical Study of Utilizing Morph-Syntactic Information in SMT
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki
NAACL
2010
13 years 5 months ago
Efficient Parsing of Well-Nested Linear Context-Free Rewriting Systems
The use of well-nested linear context-free rewriting systems has been empirically motivated for modeling of the syntax of languages with discontinuous constituents or relatively f...
Carlos Gómez-Rodríguez, Marco Kuhlma...
EMNLP
2007
13 years 9 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