Photo of Afra Alishahi
  • Warandelaan 2, Dante Building, room D 328

    5037 AB Tilburg

    Netherlands

20052019
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Personal profile

Research interests

My primary research interest involves the development of computational models of human language acquisition. Computational modeling is an effective tool for studying human cognition: whereas linguistic and psychological theories often give a high level explanation for the experimental data, computational models provide a detailed account of the underlying mechanisms for the cognitive task at hand. Moreover, the behaviour of a model can be directly compared to that of humans through computational simulation.

 

Career

Sep. 2011 - presentAssistant Professor, Department of Communication and Information Sciences, Tilburg University, Netherlands.

Aug. 2008 - Aug. 2011Postdoctoral fellow, Department of Computational Linguistics and Phonetics, Saarland University, Germany.

Teaching

  • Research Workshop HAIT, Spring 2012
  • Lecture: Digital Collaboration, Spring 2012
  • Lecture: Cognitive Linguistics, Fall 2011
  • Research skills module: Methods of Analysis of Functional Document, Fall 2011

 

Current courses

Click here for my courses.

Keywords

  • Computer Models
  • Computer Linguistics
  • Language Acquisition

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2005 2019

On the difficulty of a distributional semantics of spoken language

Chrupała, G., Gelderloos, L., Kádár, Á. & Alishahi, A. 2018 (Accepted/In press) Proceedings of the Society for Computation in Linguistics. Vol. 2

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Semantics
Unsupervised learning
Speech processing

Revisiting the Hierarchical Multiscale LSTM

Kádár, Á., Côté, M-A., Chrupala, G. & Alishahi, A. 2018 Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, p. 3215-3227 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access

Emergence of language structures from exposure to visually grounded speech signal

Chrupala, G., Alishahi, A. & Gelderloos, L., 2017.

Research output: Contribution to conferenceAbstractOther research output

Recurrent neural networks
Network architecture
Linguistics
Semantics
Neural networks

Encoding of phonology in a recurrent neural model of grounded speech

Alishahi, A., Barking, M. & Chrupala, G., 2017, Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). Levy, R. & Specia, L. (eds.). Vancouver, Canada: Association for Computational Linguistics, p. 368-378 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Recurrent neural networks
Linguistics
Decoding
Chemical activation
Semantics

Modeling relations in a referential game

Gelderloos, L., Alishahi, A., Chrupala, G. & Fernández, R. 2017

Research output: Contribution to conferenceAbstractOther research output

Electric grounding
Computer vision
Processing

Prizes / Recognition

CoNLL 2017 Best Paper Award

Afra Alishahi (Recipient), Marie Barking (Recipient) & Grzegorz Chrupala (Recipient), 2017

Prize: Prize (including medals and awards)