Statistical and neural language models for the Ukrainian Language

Khaburska, Anastasiia

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Students Research & Project Works | Роботи студентів
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Факультет прикладних наук
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Освітня програма наук про дані
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2020
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dc.contributor.author	Khaburska, Anastasiia
dc.date.accessioned	2020-02-25T09:41:29Z
dc.date.available	2020-02-25T09:41:29Z
dc.date.issued	2020
dc.identifier.citation	Khaburska, Anastasiia. Statistical and neural language models for the Ukrainian Language : Master Thesis : manuscript / Anastasiia Khaburska ; Supervisor Igor Tytyk ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 41 p. : ill.	uk
dc.identifier.uri	http://er.ucu.edu.ua/handle/1/2047
dc.language.iso	en	uk
dc.subject	Neural language models	uk
dc.subject	Statistical language models	uk
dc.subject	N-gram models	uk
dc.title	Statistical and neural language models for the Ukrainian Language	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Language Modeling is one of the most important subﬁelds of modern Natural Language Processing (NLP).The objective of language modeling is to learn a probability distribution over sequences of linguistic units pertaining to a language. As it produces a probability of the language unit that will follow, the language model can be viewed as a form of grammar for the language, and it plays a key role in traditional NLP tasks, such as speech recognition, machine translation, sentiment analysis, text summarization, grammatical error correction, natural language generation. Much work has been done for the English language in terms of developing both training and evaluation approaches. However, there has not been as much progress for the Ukrainian language. In this work, we are going to explore, extend, evaluate and compare different language models for the Ukrainian language. The main objective is to provide a balanced evaluation dataset and train a number of baseline models.	uk