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Learning Word-vector Quantization

Published in ACM Transactions on Asian and Low-Resource Language Information Processing • Jun 18, 2020
NobleIDNI3P75W80R73S33
Authors:
Umut Orhan
,
Enıs Arslan

Abstract

We introduced a new classifier named Learning Word-vector Quantization (LWQ) to solve morphological ambiguities in Turkish, which is an agglutinative language. First, a new and morphologically annotated corpus, and then its datasets are prepared with a series of processes. According to datasets, LWQ...

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