Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/9490
Title: Albanian Syntactic Parsing
Authors: Misini, Arta
Canhasi, Ercan
Krrabaj, Samedin
Keywords: Natural Language Processing, Syntactic Parsing, Sentence· Phrase, Part of Speech, Tagging, Grammar, Rule
Issue Date: 24-Sep-2020
Series/Report no.: ISSN 1857-7288;
Conference: ICT Innovations 2020
Abstract: This paper is about computational processing of the natural language, and the goal of this study is to provide an appropriate method for syntactic parsing of Albanian. We describe the prior work by ana- lyzing the current state of the field and presenting various algorithms used for parsing, using a hand-tagged corpus to build a model for the syntactic parser. Parsing is the most proper approach to identify the syntactic structure that is useful in determining the meaning of a sentence. Research has shown that English language parsers are not useful in analyzing the sen- tences in Albanian because of some morphological, syntactic, and grammatical differences. The algorithm splits the sentences into parts of speech and analyzes these sentences using the natural language’s syntactic rules. We discuss the methodology and approaches for designing and implementing the parsing methods. Then, we describe the results of our research within these directions.
URI: http://hdl.handle.net/20.500.12188/9490
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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