A Step toward Machine Recognition of Complex Sentences
A Step toward Machine Recognition of Complex Sentences
Author(s): Marko Orešković, Juraj Benić, Mario EssertSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: complex and compound sentences; machine recognition; syntactic patterns; frequency analysis;computer model;
Summary/Abstract: This paper presents theoretical and technological background of a model for machine recognition of complex sentences. It is based on theSyntactic and Semantic Framework (SSF) which implements fundamental linguistic fields network resources and encyclopedias. It can be used to extractsubject, predicate and object, as well as other sentence's parts (e.g. NP/VP/PP), and in some cases even semantic roles. In compound sentences themachine can easily recognize independent sentences, whereas in complex sentences the machine recognizes the main clause and the related subordinate clauses as well as sentence types (subject, object, predicate, etc.). Using stored patterns various theories can be tested.
Journal: TEM Journal
- Issue Year: 7/2018
- Issue No: 4
- Page Range: 823-828
- Page Count: 6
- Language: English
