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» Bayesian Word Alignment for Statistical Machine Translation
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ACL
1998
15 years 1 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 5 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
ACL
2010
14 years 9 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 9 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 2 months 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