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» A Probability Model to Improve Word Alignment
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CVPR
1998
IEEE
14 years 9 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...
NIPS
2004
13 years 9 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
LREC
2010
169views Education» more  LREC 2010»
13 years 9 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada
ICPR
2010
IEEE
13 years 7 months ago
Incorporating Linguistic Model Adaptation into Whole-Book Recognition
Abstract—Whole-book recognition is a document image analysis strategy that operates on the complete set of a book’s page images using automatic adaptation to improve accuracy. ...
Pingping Xiu, Henry S. Baird
ACL
2010
13 years 5 months ago
Tree-Based Deterministic Dependency Parsing - An Application to Nivre's Method -
Nivre's method was improved by enhancing deterministic dependency parsing through application of a tree-based model. The model considers all words necessary for selection of ...
Kotaro Kitagawa, Kumiko Tanaka-Ishii