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We address the problem of part-of-speech tagging for English data from the popular micro-blogging service Twitter. We develop a… Expand We present an approach to using a morphological analyzer for tokenizing and morphologically tagging (including part-of-speech… Expand We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following… Expand Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we… Expand Work on part-of-speech tagging has concentrated on English in the past, since a lot of manually tagged training material is… Expand This paper presents a statistical model which trains from a corpus annotated with Part Of Speech tags and assigns them to… Expand A method of injection molding wherein a pair of separable mold plates are initially urged together and fluid plastic is injected… Expand In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when… Expand We present an implementation of a part-of-speech tagger based on a hidden Markov model. The methodology enables robust and… Expand Automatic part of speech tagging is an area of natural language processing where statistical techniques have been more successful… Expand