Title :
Requirement analysis of the internal modules of natural language processing engines
Author :
Barabás, P. ; Kovács, L.
Author_Institution :
Dept. of Inf. Technol., Univ. of Miskolc, Miskolc, Hungary
Abstract :
This paper describesr the modules of natural language processing (NLP) engine which can be used with Hungarian input. There are many standard NLP engines which have tokenization, part-of-speech (POS) tagging, named entity recognition, parsing modules. Most of them work for universal languages like English. Processing of Hungarian language is a much more difficult and there cannot be found such a complete NLP system which satisfies all tasks for syntactic and semantic analysis of incoming inputs. This paper summarizes the existing solutions and techniques and gives a brief description of a proposed NLP engine using for inputs in Hungarian language.
Keywords :
grammars; natural language interfaces; natural language processing; English; Hungarian language processing; NLI; NLP engines; NLP system; POS tagging; internal module requirement analysis; named entity recognition; natural language interface; natural language processing engines; parsing modules; part-of-speech tagging; semantic analysis; syntactic analysis; tokenization; Abstracts; Engines; Natural language processing; Ontologies; Semantics; Speech recognition;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4577-0196-2
DOI :
10.1109/SAMI.2012.6209005