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» Improving IBM Word Alignment Model 1
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160
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NIPS
2000
15 years 5 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
JMLR
2006
115views more  JMLR 2006»
15 years 3 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
146
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EMNLP
2004
15 years 5 months ago
Bilingual Parsing with Factored Estimation: Using English to Parse Korean
We describe how simple, commonly understood statistical models, such as statistical dependency parsers, probabilistic context-free grammars, and word-to-word translation models, c...
David A. Smith, Noah A. Smith
IAJIT
2011
14 years 10 months ago
Multilayer model for Arabic text compression
: This article describes a multilayer model-based approach for text compression. It uses linguistic information to develop a multilayer decomposition model of the text in order to ...
Arafat Awajan
140
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LREC
2010
181views Education» more  LREC 2010»
15 years 5 months ago
Linguistically Motivated Unsupervised Segmentation for Machine Translation
In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Mark Fishel, Harri Kirik