In the context of a research infrastructure project, a scholarship is offered for a PhD student in the LT3 Language and Translation Technology Team at the Ghent University Department of Translation, Interpreting and Communication. The successful applicant will participate in a multidisciplinary research collaboration between UGent (?iaLing and LT3) and UHasselt (Expertise Centre for Digital Media). The PhD research topic is part of a Hercules (FWO-funded) project (see description below), and focuses on the extension of Natural Language Processing tools for application in the domain of Spanish dialectology.
The envisaged starting date is February 1st, 2019. The successful candidate is appointed for two years. Further funding will be sought for the remainder of the PhD project.
Description of the Hercules project:
The study of dialectal microvariation of Spanish spoken in Spain has until recently mainly focused on lexical and phonetic features. The morphosyntax of these dialects, on the contrary, remains largely unexplored, despite the recent surge in interest in dialect grammars. This is due to the lack of large annotated dialectal corpora. This project aims to fill this lacuna and will create the first morphosyntactically annotated and parsed corpus of the European Spanish dialects. This dialect corpus will be designed in a geographically balanced way and its material will proceed from the COSER corpus (Corpus Oral y Sonoro del Español Rural `Audible Corpus of Spoken Rural Spanish’; www.corpusrural.es
* Master?s degree in a relevant field ((Computational) Linguistics, (Computational) or Computer Science)
* Strong interest in language and speech technology
* Interested in research and having the intention to obtain a PhD degree
* Strong interpersonal and communication skills
* Eager to acquire new competences and knowledge
* Knowledge of programming languages (e.g. Python, Java)
* The candidate should be able to work independently as well as in a multidisciplinary team, and will be guided by advisors with a computer science/computational linguistics background (UGent-UHasselt) and with a background in dialectology / linguistics (UGent).
* Fluent in English and Spanish
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