Part of speech tagging of slovene language using deep neural networks

Primož Belej (2018) Part of speech tagging of slovene language using deep neural networks. MSc thesis.

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Abstract

The thesis deals with part of speech tagging of Slovene language. Part of speech tagging is a process of matching sentences in natural language with a sequence of suitable tags, which contain information about parts of speech and morphological properties of words. Our solution uses character-level representation of words, which is different from typical solutions, which process input sentences as sequences of words. Our part of speech tagger is implemented using convolutional and recurrent neural networks. Unlike common approaches that address this problem as multi-class classification, our solution proposes a multi-label classification approach. In order to improve our results we implement an ensemble of three part of speech taggers. When comparing our solution with existing ones, we find that the proposed solution achieves the best results.

Item Type:

Thesis (MSc thesis)

Keywords:

machine learning, part-of-speech tagging, deep learning, convolutional neural networks, recurrent neural networks, ensemble classifiers

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Marko Robnik Šikonja	276	Mentor
dr. Simon Krek		Comentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538047171)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4313

Date Deposited:

09 Nov 2018 14:28

Last Modified:

23 Nov 2018 12:45

URI:

http://eprints.fri.uni-lj.si/id/eprint/4313

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