Journal

O objetivo deste trabalho é aplicar uma metodo-
logia baseada na perplexidade, para calcular automa-
ticamente a distância interlinguística entre diferentes
períodos históricos de variantes diatópicas de idiomas.

This work describes the formalization of a word structure grammar that represents the complex morphological and morphosyntactic information embedded within the word forms of an agglutinative language (Basque), giving a comprehensive linguistic description of the main morphological phenomena, such as affixation, derivation, and composition, and also taking into account the modeling of both standard and non standard words. We have identified the relevant issues to be addressed in the representation of such a grammar.

This article describes a compositional distributional method to generate contextualized senses of words and identify their appropriate translations in the target language using monolingual corpora. Word translation is modeled in the same way as contextualization of word meaning, but in a bilingual vector space. The contextualization of meaning is carried out by means of distributional composition within a structured vector space with syntactic dependencies, and the bilingual space is created by means of transfer rules and a bilingual dictionary.