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Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary
2017
Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing (FSMNLP 2017)
Similar languages have a large number of cognate words which can be exploited to deal with Out-Of-Vocabulary (OOV) words problem. This problem is especially severe for resource-scarce languages. We propose a method for 'word transduction' for addressing this problem. We take advantage of the fact that, although it is difficult to prepare sentence aligned parallel corpus for such languages, it is much easier to prepare 'parallel' list of word pairs which are cognates and have similar
doi:10.18653/v1/w17-4009
dblp:conf/fsmnlp/SharmaS17
fatcat:tykwl4gmhbdvtix5tu65ogpzcy