Gómez-Marco, Oscar

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Towards an x-bar parser: a model of English syntactic performance
(2015) Gómez-Marco, Oscar; Vega-Riveros, José F.; College of Engineering; Velez Rivera, Bienvenido; Alers Valentín, Hilton; Department of Electrical and Computer Engineering; Alvarez, Jaquelina
In the field of Natural Language Processing (NLP) any kind of analysis of written language starts by breaking down the text to identify its constituents as well as the relations between them. This process is called parsing and the most popular parsers at the moment base their analysis on learning processes and statistics. This research presents a deterministic rule-base parser that uses the X-bar schema as a base to output all the possible grammatically feasible structured representations of a sentence. In simple terms the parser is able to generate not only the most probable parse as the former ones mentioned but all the grammatical ones accounted for the multiple classifications of the input constituents. We show that the binarity of the outputs generated, in contrast with the non-binary, is better to identify the internal relations between the constituents of the sentence.