Deep Cross-Lingual Coreference Resolution for Less-ResourcedLanguages: The Case of Basque

In this paper, we present a cross-lingual neural coreference resolution system for a less-resourced language such as Basque. To begin with, we build the first neural coreferenceresolution system for Basque, training it with the relatively small EPEC-KORREF corpus (45,000 words). Next, a cross-lingual coreference resolution system is designed. With this approach, the system learns from a bigger English corpus, using cross-lingual embeddings, to perform the coreference resolution for Basque.

LINGUATEC: Desarrollo de recursos lingüı́sticos para avanzar en la digitalización de las lenguas de los Pirineos

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.

Large Scale Linguistic Processing of Tweets to Understand Social Interactions among Speakers of Less Resourced Languages: The Basque Case

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.


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