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Unsupervised morphological parsing of Bengali. Language Resources and Evaluation (2006)
| Citations: | 19 - 0 self |
BibTeX
@MISC{Dasgupta06unsupervisedmorphological,
author = {Sajib Dasgupta and Vincent Ng},
title = {Unsupervised morphological parsing of Bengali. Language Resources and Evaluation},
year = {2006}
}
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Abstract
Abstract: Unsupervised morphological analysis is the task of segmenting words into prefixes, suffixes and stems without prior knowledge of language-specific morphotactics and morpho-phonological rules. This paper introduces a simple, yet highly effective algorithm for unsupervised morphological learning for Bengali, an Indo-Aryan language that is highly inflectional in nature. When evaluated on a set of 4110 humansegmented Bengali words, our algorithm achieves an F-score of 83%, substantially outperforming Linguistica, one of the most widely-used unsupervised morphological parsers, by about 23%. Response to Reviewers: We have added reviewers ' comments as an attachment to the manuscript. Manuscript Click here to download Manuscript: LREC10.doc
Keyphrases
language resource unsupervised morphological parsing widely-used unsupervised morphological parser manuscript click bengali word prior knowledge unsupervised morphological analysis morpho-phonological rule effective algorithm language-specific morphotactics unsupervised morphological learning indo-aryan language
