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» Use of Lexicon Density in Evaluating Word Recognizers
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ICDAR
2003
IEEE
13 years 10 months ago
A Character Recognizer for Turkish Language
This paper presents particularly a contextual post processing subsystem for a Turkish machine printed character recognition system. The contextual post processing subsystem is bas...
Sait Ulas Korkmaz, G. Kirçiçegi, Y. ...
ANLP
2000
141views more  ANLP 2000»
13 years 6 months ago
Aggressive Morphology for Robust Lexical Coverage
This paper describes an approach to providing lexical information for natural language processing in unrestricted domains. A system of approximately 1200 morphological rules is us...
William A. Woods
ICDAR
2003
IEEE
13 years 10 months ago
Handwriting Recognition Using Position Sensitive Letter N-Gram Matching
We propose further improvement of a handwriting recognition method that avoids segmentation while able to recognize words that were never seen before in handwritten form. This met...
Adnan El-Nasan, Sriharsha Veeramachaneni, George N...
SPEECH
2010
89views more  SPEECH 2010»
12 years 11 months ago
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words...
Sharon Goldwater, Daniel Jurafsky, Christopher D. ...
COLING
2010
12 years 12 months ago
Bilingual lexicon extraction from comparable corpora using in-domain terms
Many existing methods for bilingual lexicon learning from comparable corpora are based on similarity of context vectors. These methods suffer from noisy vectors that greatly affec...
Azniah Ismail, Suresh Manandhar