Requirement analysis of the internal modules of natural language processing engines
P. Barabas, László Kovács · 2012
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.