Morphological segmentation method for Turkic language neural machine translation
Dictionaries play an important role in neural machine translation (NMT). However, a large dictionary requires a significant amount of memory, which limits the application of NMT and can cause a memory error. This limitation can be solved by segmenting each word into morphemes in parallel source corp...
Main Authors: | U. Tukeyev, A. Karibayeva, Z h. Zhumanov |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
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Series: | Cogent Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311916.2020.1856500 |
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