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» Bayesian Word Alignment for Statistical Machine Translation
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ACL
1998
14 years 11 months ago
Automatic Acquisition of Language Model based on Head-Dependent Relation between Words
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Seungmi Lee, Key-Sun Choi
MLCW
2005
Springer
15 years 3 months ago
A Lexical Alignment Model for Probabilistic Textual Entailment
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes th...
Oren Glickman, Ido Dagan, Moshe Koppel
70
Voted
ACL
2010
14 years 7 months ago
Training Phrase Translation Models with Leaving-One-Out
Several attempts have been made to learn phrase translation probabilities for phrasebased statistical machine translation that go beyond pure counting of phrases in word-aligned t...
Joern Wuebker, Arne Mauser, Hermann Ney
NAACL
2010
14 years 7 months ago
Joint Parsing and Alignment with Weakly Synchronized Grammars
Syntactic machine translation systems extract rules from bilingual, word-aligned, syntactically parsed text, but current systems for parsing and word alignment are at best cascade...
David Burkett, John Blitzer, Dan Klein
ACL
2012
13 years 14 hour ago
Deciphering Foreign Language by Combining Language Models and Context Vectors
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
Malte Nuhn, Arne Mauser, Hermann Ney