LINGUIST List 30.1605
Fri Apr 12 2019
Support: Computational Linguistics; Psycholinguistics: PhD, Norwegian University of Science and Technology
Editor for this issue: Becca Morris <beccalinguistlist.org>
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Dave Kush <dave.kush
Computational Linguistics; Psycholinguistics: PhD, Norwegian University of Science and Technology, Norway E-mail this message to a friend
Department: Department of Language and Literature
Web Address: https://www.ntnu.edu/
Institution/Organization: Norwegian University of Science and Technology
Duties: Research,Project Work
Specialty Areas: Computational Linguistics; Psycholinguistics
We announce a four-year PhD position in experimental computational linguistics at the Department of Language and Literature.
The PhD position is part of the project Computational modeling of filler-gap acquisition in Norwegian which is an interdisciplinary project within the Enabling Technologies strategic area at NTNU. The successful applicant will be part of a project group headed by Associate Professor Dave Kush (Department of Language and Literature), Professor Terje Lohndal (Department of Language and Literature), and Professor Ole Jakob Mengshoel (Department of Computer Science).
The project will be carried out in Kush’s ØyeLab and in cooperation with the cross-institutional research group AcqVA (Acquisition, Variation and Attrition) between NTNU and UiT The Arctic University of Norway. The Trondheim unit of the group consists of 18 researchers, including 3 professors, 4 associate professors, 1 postdoc, 8 PhD candidates, and 2 20% adjunct professors.
The project seeks to use computational modeling to better understand how learners might acquire constraints on filler-gap dependencies from natural language input. To this end, the project will evaluate whether computational learning models of various types (e.g., Recurrent Neural Networks; Variational Learners; Bayesian models) can (i) represent a diverse array of long-distance filler-gap dependencies and (ii) learn the proper constraints on such dependencies when trained on different Norwegian corpora. The results of these investigations will be compared to previous results from English. The goal is to ultimately identify necessary components of a learning strategy that is capable of learning attested patterns cross-linguistically.
Applicants are requested to contact the project leader to obtain a more detailed project description before applying.
See more information and how to apply at the application link provided below.
Applications Deadline: 01-Jun-2019
Mailing Address for Applications:
Attn: Dave Kush
Web Address for Applications: https://www.jobbnorge.no/en/available-jobs/job/168456/phd-position-in-experimental-computational-linguistics
Page Updated: 12-Apr-2019