
PRINCIPAL PROBLEMS OF NATURAL LANGUAGE PROCESSING SYSTEMS
Author(s) -
O. Hyryn
Publication year - 2018
Publication title -
fìlologìčnì studìï
Language(s) - English
Resource type - Journals
eISSN - 2412-2491
pISSN - 2311-2425
DOI - 10.28925/2311-2425.2018.11.5
Subject(s) - parsing , computer science , natural language processing , sentence , artificial intelligence , ambiguity , meaning (existential) , semantic analysis (machine learning) , process (computing) , natural language , basis (linear algebra) , linguistics , programming language , mathematics , psychology , philosophy , geometry , psychotherapist
The article deals with natural language processing, namely that of an English sentence. The article describes the problems, which might arise during the process and which are connected with graphic, semantic, and syntactic ambiguity. The article provides the description of how the problems had been solved before the automatic syntactic analysis was applied and the way, such analysis methods could be helpful in developing new analysis algorithms. The analysis focuses on the issues, blocking the basis for the natural language processing — parsing — the process of sentence analysis according to their structure, content and meaning, which aims to analyze the grammatical structure of the sentence, the division of sentences into constituent components and defining links between them.