The objective of this work is to set a corpus-driven methodology to quantify automatically diachronic language distance
between chronological periods of several languages. We apply a perplexity-based measure to written text representing
different historical periods of three languages: European English, European Portuguese and European Spanish. For this
purpose, we have built historical corpora for each period, which have been compiled from different open corpus sources
containing texts as close as possible to its original spelling. The results of our experiments show that a diachronic
Lately, discourse structure has received considerable attention due to the benefits carried out by its application in several NLP task such as opinion mining, summarization, question answering, text simplification, among others.
ABSTRACT
Objective: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used different methods to overcome the lack of a bilingual corpus of clinical texts or health records in Basque and Spanish.
El objetivo del proyecto es desarrollar, probar y difundir nuevos recursos, nuevas herramientas y aplicaciones lingüı́sticas innovadoras para mejorar el nivel de digitalización del aragonés, vasco y occitano.
Social networks like Twitter are increasingly important in the creation of new ways of communication. They have also become useful tools for social and linguistic research due to the massive amounts of public textual data available. This is particularly important for less resourced languages, as it allows to apply current natural language processing techniques to large amounts of unstructured data. In this work, we study the linguistic and social aspects of young and adult people’s behaviour based on their tweets’ contents and the social relations that arise from them.
