Autores
Gelbukh Alexander
Título Characteristics of most frequent spanish verb-noun combinations
Tipo Congreso
Sub-tipo Memoria
Descripción 15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Resumen We study most frequent Spanish verb-noun combinations retrieved from the Spanish Web Corpus. We present the statistics of these combinations and analyze the degree of cohesiveness of their components. For the verb-noun combinations which turned out to be collocations, we determined their semantics in the form of lexical functions. We also observed what word senses are most typical for polysemous words in the verb-noun combinations under study and determined the level of generalization which characterizes the semantics of words in the combinations, that is, at what level of the hyperonymy-hyponymy tree they are located. The data collected by us can be used in various applications of natural language processing, especially, in predictive models in which most frequent cases are taken into account. © Springer International Publishing AG 2017.
Observaciones DOI 10.1007/978-3-319-62434-1_3 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10061
Lugar Cancún
País Mexico
No. de páginas 27-40
Vol. / Cap. 10061 LNAI
Inicio 2016-10-23
Fin 2016-10-28
ISBN/ISSN 9783319624334