Resumen

SHALA, Lubna A; RUS, Vasile  y  GRAESSER, Arthur C. Automated Speech Act Classification in Arabic. Subj. procesos cogn. [online]. 2010, vol.14, n.2, pp.284-292. ISSN 1852-7310.

We present in this paper a fully-automated method for the task of speech act classification for Arabic discourse. Speech act classification involves assigning a category from a set of predefined speech act categories to a sentence to indicate speaker's intention. Our approach to speech act classification is based on the hypothesis that the initial words in a sentence and/or their parts-of-speech are very diagnostic of the particular speech act expressed in the sentence. We also consider semantic categorization of these words in terms of named entities and combine this approach with machine learning algorithms to automatically derive the parameters of the models we used to implement the approach. Experiments and results obtained with several models and machine learning algorithms on a corpus of 408 Arabic sentences are presented.

Palabras clave : Speech acts; Speaker intention; Semantic categorization.

        · resumen en Español     · texto en Español     · Español ( pdf )