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FLAIRS
2006
14 years 11 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
COLING
1996
14 years 10 months ago
A Gradual Refinement Model for A Robust Thai Morphological Analyzer
This work attempts to provide a robust Thai morphological analyzer which can automatically assign the correct part-of-speech tag to the correct word with time and space efficiency...
Asanee Kawtrakul, Chalatip Thumkanon, Thitima Jamj...
NLPRS
2001
Springer
15 years 1 months ago
Automatic Segmentation of Words using Syllable Bigram Statistics
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...
Seung-Shik Kang, Chong-Woo Woo
LREC
2010
187views Education» more  LREC 2010»
14 years 11 months ago
A Large List of Confusion Sets for Spellchecking Assessed Against a Corpus of Real-word Errors
One of the methods that has been proposed for dealing with real-word errors (errors that occur when a correctly spelled word is substituted for the one intended) is the "conf...
Jennifer Pedler, Roger Mitton
ICDAR
2007
IEEE
15 years 3 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...