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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!