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ACL
2007
13 years 7 months ago
Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
ISAMI
2010
13 years 3 months ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho
COLT
2006
Springer
13 years 9 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
ICLP
2009
Springer
14 years 6 months ago
Constraint Based Languages for Biological Reactions
In this paper, we study the modelization of biochemical reaction by using concurrent constraint programming idioms. In particular we will consider the stochastic concurrent constra...
Marco Bottalico, Stefano Bistarelli
INTERSPEECH
2010
13 years 18 days ago
Automatic speech recognition for assistive writing in speech supplemented word prediction
This paper describes a system for assistive writing, the Speech Supplemented Word Prediction Program (SSWPP). This system uses the first letter of a word typed by the user as well...
John-Paul Hosom, Tom Jakobs, Allen Baker, Susan Fa...