A study in explaining unseen words in Indonesian using analogical clusters

dc.contributor.author	Fam, Rashel
dc.contributor.author	Lepage, Yves
dc.contributor.author	Gojali, Susanti
dc.contributor.author	Purwarianti, Ayu
dc.date.accessioned	2019-07-15T03:09:42Z
dc.date.available	2019-07-15T03:09:42Z
dc.date.issued	2017-02-16
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/890
dc.description	This work was supported by a grant from the Japanese Society for the Promotion of Science (JSPS): grant number 15K00317 entitled ‘Language productivity: fast extraction of productive analogical clusters and their evaluation using statistical machine translation.’	en_US
dc.description.abstract	Abstract We propose a pipeline to explain, on the level of form, the unseen words contained in an Indonesian test set, by using analogical clusters. Analogical clusters are extracted from a training set by relying on formal relations between words. The unseen words which can be explained on the level of form are then verified on two other representation levels: morpho-logical and semantic. In our experiments on the BPPT corpus, 98 % of unseen words were explained on the level form, out of which 58 % could also be explained on the two levels of morphological and semantic representations.	en_US
dc.language.iso	en	en_US
dc.publisher	Fifteenth International Conference on Computer Applications(ICCA 2017)	en_US
dc.title	A study in explaining unseen words in Indonesian using analogical clusters	en_US
dc.type	Article	en_US