4 papers
TnT - A Statistical Part-of-Speech Tagger
Thorsten Brants
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models perform…
Cascaded Markov Models
Thorsten Brants
This paper presents a new approach to partial parsing of context-free structures. The approach is based on Markov Models. Each layer of the resulting structure is represented by it…
Chunk Tagger - Statistical Recognition of Noun Phrases
Wojciech Skut, Thorsten Brants
We describe a stochastic approach to partial parsing, i.e., the recognition of syntactic structures of limited depth. The technique utilises Markov Models, but goes beyond usual br…
A Maximum-Entropy Partial Parser for Unrestricted Text
Wojciech Skut, Thorsten Brants
This paper describes a partial parser that assigns syntactic structures to sequences of part-of-speech tags. The program uses the maximum entropy parameter estimation method, which…