Discovering Morphemic Suffixes A Case Study In MDL Induction

Michael R. Brent, Sreerama K. Murthy, Andrew Lundberg
Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:64-75, 1995.

Abstract

This paper reports experiments in the automatic discovery of linguistically significant regularities in text. The minimum description length principle is exploited to evaluate linguistic hypotheses with respect to a corpus and a theory of the types of regularities to be found in it. The domain of inquiry in this paper is the discovery of morphemic suffixes such as English -ing and -ly, but the technique is widely applicable to language learning problems.

Cite this Paper

BibTeX
@InProceedings{pmlr-vR0-brent95a, title = {Discovering Morphemic Suffixes A Case Study In MDL Induction}, author = {Brent, Michael R. and Murthy, Sreerama K. and Lundberg, Andrew}, booktitle = {Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics}, pages = {64--75}, year = {1995}, editor = {Fisher, Doug and Lenz, Hans-Joachim}, volume = {R0}, series = {Proceedings of Machine Learning Research}, month = {04--07 Jan}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/r0/brent95a/brent95a.pdf}, url = {https://proceedings.mlr.press/r0/brent95a.html}, abstract = {This paper reports experiments in the automatic discovery of linguistically significant regularities in text. The minimum description length principle is exploited to evaluate linguistic hypotheses with respect to a corpus and a theory of the types of regularities to be found in it. The domain of inquiry in this paper is the discovery of morphemic suffixes such as English -ing and -ly, but the technique is widely applicable to language learning problems.}, note = {Reissued by PMLR on 01 May 2022.} }
Endnote
%0 Conference Paper %T Discovering Morphemic Suffixes A Case Study In MDL Induction %A Michael R. Brent %A Sreerama K. Murthy %A Andrew Lundberg %B Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics %C Proceedings of Machine Learning Research %D 1995 %E Doug Fisher %E Hans-Joachim Lenz %F pmlr-vR0-brent95a %I PMLR %P 64--75 %U https://proceedings.mlr.press/r0/brent95a.html %V R0 %X This paper reports experiments in the automatic discovery of linguistically significant regularities in text. The minimum description length principle is exploited to evaluate linguistic hypotheses with respect to a corpus and a theory of the types of regularities to be found in it. The domain of inquiry in this paper is the discovery of morphemic suffixes such as English -ing and -ly, but the technique is widely applicable to language learning problems. %Z Reissued by PMLR on 01 May 2022.
APA
Brent, M.R., Murthy, S.K. & Lundberg, A.. (1995). Discovering Morphemic Suffixes A Case Study In MDL Induction. Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research R0:64-75 Available from https://proceedings.mlr.press/r0/brent95a.html. Reissued by PMLR on 01 May 2022.

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