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COLING
2010
12 years 11 months ago
Unsupervised Part of Speech Tagging Using Unambiguous Substitutes from a Statistical Language Model
We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choo...
Mehmet Ali Yatbaz, Deniz Yuret
IJIT
2004
13 years 6 months ago
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
This paper describes our work on Bengali Part of Speech (POS) tagging using a corpus-based approach. There are several approaches for part of speech tagging. This paper deals with ...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
ANLP
1997
137views more  ANLP 1997»
13 years 6 months ago
Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
Jan Hajic, Barbora Hladká
ANLP
1994
108views more  ANLP 1994»
13 years 6 months ago
Does Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
David Elworthy