Neural network based dependency parser
Organization
Natural Language Processing
Abstract
Dependency parser is one of the core natural language processing tools that expresses the syntactic structure of sentences with directed dependency graphs. Recently, neural network based dependency parsers have reached state of the art performance in English.
The goal of this project is to experimentally train neural network based dependency parsers on Estonian using universal dependencies treebank (https://github.com/UniversalDependencies/UD_Estonian). In principle, the project can be about any other language of interest as well, except for English that already has high-quality parsers available.
The goal of this project is to experimentally train neural network based dependency parsers on Estonian using universal dependencies treebank (https://github.com/UniversalDependencies/UD_Estonian). In principle, the project can be about any other language of interest as well, except for English that already has high-quality parsers available.
Graduation Theses defence year
2016-2017
Supervisor
Kairit Sirts
Spoken language (s)
Estonian, English
Requirements for candidates
Programming in python, general understanding of neural networks, interest in working with natural language data
Level
Bachelor, Masters
Keywords
Application of contact
Name
Kairit Sirts
Phone
E-mail