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- Title
Unsupervised morphological parsing of Bengali.
- Authors
Dasgupta, Sajib; Ng, Vincent
- 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 4,110 human-segmented 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%.
- Subjects
BENGALI language; BENGALI (South Asian people); PARSING (Grammar); SUFFIXES &; prefixes (Grammar); FOREIGN language education
- Publication
Language Resources & Evaluation, 2006, Vol 40, Issue 3/4, p311
- ISSN
1574-020X
- Publication type
Article
- DOI
10.1007/s10579-007-9031-y