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» Some Advances in Transformation-Based Part of Speech Tagging
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AAAI
1994
13 years 6 months ago
Some Advances in Transformation-Based Part of Speech Tagging
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill
NAACL
1994
13 years 6 months ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill
EACL
2006
ACL Anthology
13 years 6 months ago
Adaptive Transformation-Based Learning for Improving Dictionary Tagging
We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, parts of speech, tran...
Burcu Karagol-Ayan, David S. Doermann, Amy Weinber...
ACL
2010
13 years 2 months ago
Simultaneous Tokenization and Part-Of-Speech Tagging for Arabic without a Morphological Analyzer
We describe an approach to simultaneous tokenization and part-of-speech tagging that is based on separating the closed and open-class items, and focusing on the likelihood of the ...
Seth Kulick
TASLP
2011
12 years 11 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme