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A study in explaining unseen words in Indonesian using analogical clusters
http://hdl.handle.net/20.500.12678/0000004993
e7678bb5-b229-47c2-b611-f227561cef97
8845765b-792a-4cb1-88b4-d8c325d61001
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Publication type | Article | |||||
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Upload type | Publication | |||||
Title | ||||||
A study in explaining unseen words in Indonesian using analogical clusters | ||||||
en | ||||||
Publication date | 2017-02-16 | |||||
Authors | ||||||
Fam, Rashel | ||||||
Lepage, Yves | ||||||
Gojali, Susanti | ||||||
Purwarianti, Ayu | ||||||
Description | ||||||
AbstractWe propose a pipeline to explain, on the level ofform, the unseen words contained in an Indonesian testset, by using analogical clusters. Analogical clustersare extracted from a training set by relying on formalrelations between words. The unseen words which canbe explained on the level of form are then verified ontwo other representation levels: morpho-logical andsemantic. In our experiments on the BPPT corpus,98 % of unseen words were explained on the levelform, out of which 58 % could also be explained on thetwo levels of morphological and semanticrepresentations. | ||||||
Journal articles | ||||||
Fifteenth International Conference on Computer Applications(ICCA 2017) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |