Қадағаланбайтын морфологиялық сегментация

This paper introduces an unsupervised morphological segmentation algorithm that shows robust performance for four languages with different levels of mor- phological complexity. In particular, our algorithm outperforms Goldsmith’s Lin- guistica …...

Morphological segmentation breaks words into morphemes (the basic semantic units). It is a key component for natural language pro- cessing systems. Unsupervised morphologi- cal segmentation is attractive, because in ev- …...

AbstractWe investigate using Adaptor Grammars for unsupervised morphological segmentation. Using six development languages, we investigate in detail different grammars, the use of morphological knowledge from outside sources, and the use …...

AbstractComputational morphological segmentation has been an active research topic for decades as it is beneficial for many natural language processing tasks. With the high cost of manually labeling data for …...

With the increasing interest in low-resource languages, unsupervised morphological seg- mentation has become an active area of re- search, where approaches based on Adap- tor Grammars achieve state-of-the-art results. We …...