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» A Probability Model to Improve Word Alignment
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CORR
1998
Springer
96views Education» more  CORR 1998»
13 years 7 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
COLING
2010
13 years 2 months ago
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over sour...
ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith
FLAIRS
2011
12 years 11 months ago
Given Bilingual Terminology in Statistical Machine Translation: MWE-Sensitve Word Alignment and Hierarchical Pitman-Yor Process-
This paper considers a scenario when we are given almost perfect knowledge about bilingual terminology in terms of a test corpus in Statistical Machine Translation (SMT). When the...
Tsuyoshi Okita, Andy Way
IICAI
2007
13 years 9 months ago
A Java Implementation of an Extended Word Alignment Algorithm Based on the IBM Models
In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe a platform independent and...
G. Chinnappa, Anil Kumar Singh
ACL
2006
13 years 9 months ago
Inducing Word Alignments with Bilexical Synchronous Trees
This paper compares different bilexical tree-based models for bilingual alignment. EM training for the new model benefits from the dynamic programming "hook trick". The ...
Hao Zhang, Daniel Gildea