Abstract: When a natural language is introduced in a computer we have several problems to automate it, this is because it is difficult to make a computer relate concepts in a rich and always changing vocabulary. The two biggest problems come when using synonymous and polysemous words, as it is done in any natural language, this is the problem approached in this paper with an efficient algorithm. The association of a natural language and a space based metric on semantic is probably the best way to manage any language with a machine, so building ∆ as a freesemigroup with its grammatical rules as its natural restrictions, lets us define a distance that helps to provide a metric to the Morphosyntactic space so it is possible to organize and, therefore, study, in an automatic way, a natural language.

Keywords: Natural Language, Semantic, Morphology, Distance, Syntactic, Context, Metric Space.

ACM Classification Keywords: D.2.11 Software Engineering Languages; E.1 Data Structures Graphs and networks; H.5.2 User Interfaces Natural language; I.7.0 Document And Text Processing General.

Link:

CONSTRUCTION OF MORPHOSYNTACTIC DISTANCE ON SEMANTIC STRUCTURES

Eduardo Villa, Alejandro De Santos, Pedro G. Guillén, Octavio López Tolic

http://www.foibg.com/ijita/vol19/ijita19-4-p05.pdf