Learning Morphology with Pair Hidden Markov Models. / Clark, Alexander.

Proceedings of the Association for Computational Linguistics: Student Session. 2001. p. 55-60.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

Learning Morphology with Pair Hidden Markov Models. / Clark, Alexander.

Proceedings of the Association for Computational Linguistics: Student Session. 2001. p. 55-60.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Clark, A 2001, Learning Morphology with Pair Hidden Markov Models. in Proceedings of the Association for Computational Linguistics: Student Session. pp. 55-60.

APA

Clark, A. (2001). Learning Morphology with Pair Hidden Markov Models. In Proceedings of the Association for Computational Linguistics: Student Session (pp. 55-60)

Vancouver

Clark A. Learning Morphology with Pair Hidden Markov Models. In Proceedings of the Association for Computational Linguistics: Student Session. 2001. p. 55-60

Author

Clark, Alexander. / Learning Morphology with Pair Hidden Markov Models. Proceedings of the Association for Computational Linguistics: Student Session. 2001. pp. 55-60

BibTeX

@inproceedings{bb77c63187df4c4da74fadd7cafb05ea,
title = "Learning Morphology with Pair Hidden Markov Models",
abstract = "In this paper I present a novel Machine Learning approach to the acquisition of stochastic string transductions based on Pair Hidden Markov Models (PHMMs), a model used in computational biology. I show how these models can be used to learn morphological processes in a variety of languages, including English, German and Arabic. Previous techniques for learning morphology have been restricted to languages with essentially concatenative morphology.",
author = "Alexander Clark",
year = "2001",
month = jul,
day = "1",
language = "English",
pages = "55--60",
booktitle = "Proceedings of the Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Learning Morphology with Pair Hidden Markov Models

AU - Clark, Alexander

PY - 2001/7/1

Y1 - 2001/7/1

N2 - In this paper I present a novel Machine Learning approach to the acquisition of stochastic string transductions based on Pair Hidden Markov Models (PHMMs), a model used in computational biology. I show how these models can be used to learn morphological processes in a variety of languages, including English, German and Arabic. Previous techniques for learning morphology have been restricted to languages with essentially concatenative morphology.

AB - In this paper I present a novel Machine Learning approach to the acquisition of stochastic string transductions based on Pair Hidden Markov Models (PHMMs), a model used in computational biology. I show how these models can be used to learn morphological processes in a variety of languages, including English, German and Arabic. Previous techniques for learning morphology have been restricted to languages with essentially concatenative morphology.

M3 - Conference contribution

SP - 55

EP - 60

BT - Proceedings of the Association for Computational Linguistics

ER -