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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Unsupervised and Semi-Supervised Multilingual Learning for Resource-Poor Languages
 Tran, Manh-Ke ; Zeman, Daniel (advisor) ; Vidová Hladká, Barbora (referee)
This thesis focuses on unsupervised morphological seg- mentation, the fundamental task in NLP which aims to break words into morphemes. I describe and re-implement a model proposed in Lee et al. (2011) and evaluate it on 4 languages. Moreover, I present a generative model that could use word representation as extra fea- tures. The word representations are leant in unsupervised manner using neural language model. The experiment shows that using extra features improves the performance of the unsupervised model.
Detailed record
Unsupervised and Semi-Supervised Multilingual Learning for Resource-Poor Languages
 Tran, Manh-Ke ; Zeman, Daniel (advisor) ; Vidová Hladká, Barbora (referee)
This thesis focuses on unsupervised morphological seg- mentation, the fundamental task in NLP which aims to break words into morphemes. I describe and re-implement a model proposed in Lee et al. (2011) and evaluate it on 4 languages. Moreover, I present a generative model that could use word representation as extra fea- tures. The word representations are leant in unsupervised manner using neural language model. The experiment shows that using extra features improves the performance of the unsupervised model.
Detailed record

See also: similar author names
1 Tran, M.
2 Tran, Mai Lan
1 Tran, Martin
4 Tran, Minh
1 Tran, Minh Tuan
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