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Part-of-speech tagging

Known as: Post, POS tagger, POS tagging 
In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
We address the problem of part-of-speech tagging for English data from the popular micro-blogging service Twitter. We develop a… 
Highly Cited
2005
Highly Cited
2005
We present an approach to using a morphological analyzer for tokenizing and morphologically tagging (including part-of-speech… 
Highly Cited
2003
Highly Cited
2003
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following… 
Highly Cited
2000
Highly Cited
2000
  • T. Brants
  • Applied Natural Language Processing Conference
  • 2000
  • Corpus ID: 1452591
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we… 
Highly Cited
2000
Highly Cited
2000
This paper presents results for a maximum-entropy-based part of speech tagger, which achieves superior performance principally by… 
Highly Cited
1999
Highly Cited
1999
Work on part-of-speech tagging has concentrated on English in the past, since a lot of manually tagged training material is… 
Highly Cited
1996
Highly Cited
1996
  • A. Ratnaparkhi
  • Conference on Empirical Methods in Natural…
  • 1996
  • Corpus ID: 5914287
This paper presents a statistical model which trains from a corpus annotated with Part Of Speech tags and assigns them to… 
Highly Cited
1995
Highly Cited
1995
  • E. Brill
  • Computational Linguistics
  • 1995
  • Corpus ID: 134248
A method of injection molding wherein a pair of separable mold plates are initially urged together and fluid plastic is injected… 
Highly Cited
1994
Highly Cited
1994
In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when… 
Highly Cited
1992
Highly Cited
1992
We present an implementation of a part-of-speech tagger based on a hidden Markov model. The methodology enables robust and…