Statistical Grammar Models and Lexicon Acquisition 12.1 Introduction

@inproceedings{Schulte2001StatisticalGM,
  title={Statistical Grammar Models and Lexicon Acquisition 12.1 Introduction},
  author={Sabine Schulte and Helmut Schmid and Mats Rooth and Stefan Riezler and Detlef Prescher and Christian Rohrer and Antje Ro{\"y}deutscher},
  year={2001}
}
This paper presents a framework for developing and training statistical grammar models for the acquisition of lexicon information. Util-ising a robust parsing environment and mathematically well-deened unsupervised training methods, the framework enables us to induce lexicon information from text corpora. Particular strengths of the approach concern (i) the fact that no extensive manual work is required to set up the framework, and (ii) that the framework is applicable to any desired language… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 27 references

The Estimation of Stochastic Context

  • K. Lari, S. J. Young
  • 1990
Highly Influential
2 Excerpts

The Automatic Acquisition of Lexical Infor

  • de Lima, F Erika
  • 2001

LoPar: Design and Implementation

  • Schmid, Helmut.
  • Arbeitspa-
  • 2000

Robust German

  • Schmid, Helmut, Sabine Schulte im Walde
  • 2000

The German Statistical Grammar

  • Schulte im Walde, Sabine
  • 2000

Parsing Unsegmented Chinese Text with a

  • Hockenmaier, Julia
  • 1999

Automatic Semantic Classi cation

  • Schulte im Walde, Sabine
  • 1998

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