323 citations · 505 across the 9 of their papers we have counts for
10 papers
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster +4
We propose a new benchmark corpus to be used for measuring progress in statistical language modeling. With almost one billion words of training data, we hope this benchmark will be…
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…
Tagging Grammatical Functions
Thorsten Brants, Wojciech Skut, Brigitte Krenn
This paper addresses issues in automated treebank construction. We show how standard part-of-speech tagging techniques extend to the more general problem of structural annotation,…