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Plausibility of Word Forms Generated from Analogical Grids in Indonesian

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dc.contributor.author Fam, Rashel
dc.contributor.author Purwarianti, Ayu
dc.contributor.author Lepage, Yves
dc.date.accessioned 2019-07-04T04:25:50Z
dc.date.available 2019-07-04T04:25:50Z
dc.date.issued 2018-02-22
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/421
dc.description This work was supported by grant number 15K00317 from the Japanese Society for the Promotion of Science (JSPS): ‘Language productivity: fast extraction of productive analogical clusters and their evaluation using statistical machine translation.’ en_US
dc.description.abstract The vocabulary of a natural language processing (NLP) system is usually limited by the word forms learnt by the system in the preliminary step, for example, word forms seen in the training corpus. Thus, out-of-vocabulary (OOV) problem is an important issue in NLP. In this paper, we study the plausibility of unseen word forms generated from analogical grids on Indonesian, a language known for its richness in derivational morphology. We construct analogical grids from a list of word forms contained in an annotated Indonesian corpus. We generate new word forms by filling the empty cells in the analogical grids. We verify these generated word forms using morphological analyzer and count how many of them are valid Indonesian word forms. en_US
dc.language.iso en en_US
dc.publisher Sixteenth International Conferences on Computer Applications(ICCA 2018) en_US
dc.title Plausibility of Word Forms Generated from Analogical Grids in Indonesian en_US
dc.type Article en_US


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