Prof. Albert Gatt

Prof. Albert Gatt

Prof. Albert Gatt


Associate Professor

Institute of Linguistics and Language Technology
Room 111
Inst. of Linguistics and Language Techno
University of Malta
  +356 2340 2150
  • Computational Linguistics
  • Natural Language Generation
  • Vision-Language Interface
  • Experimental Psycholinguistics
  • Morphology

BASILE, A., GATT, A. and NISSIM, M., 2019. You Write Like You Eat: Stylistic variation as a predictor of social stratification, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL'19) 2019, Association for Computational Linguistics, pp. 2583-2593.

JAFARITAZEHJANI, S., GATT, A. and TANTI, M., 2019. Visually Grounded Generation of Entailments from Premises, Proceedings of the 12th International Conference on Natural Language Generation (INLG'19) 2019, Association for Computational Linguistics.

TANTI, M., GATT, A. and CAMILLERI, K., 2019. Quantifying the amount of visual information used by neural caption generators, L LEAL-TAIXÉ and S ROTH, eds. In: Computer Vision – ECCV 2018 Workshops: Proceedings of the Workshop on Shortcomings in Vision and Language 2019, Springer, pp. 124-132.

VAN GOMPEL, R., VAN DEEMTER, K., GATT, A., SNOREN, R. and KRAHMER, E., 2019. Conceptualisation in reference production: Probabilistic modelling and experimental testing. Psychological Review, 126(3), pp. 345-373.

GATT, A. and FABRI, R., 2018. Borrowed affixes and morphological productivity: A case study of two Maltese nominalisations. In: P. PAGGIO and A. GATT, eds, Languages of Malta: Recent Studies. Berlin: Language Science Press, pp. 143-170.

GATT, A. and KRAHMER, E., 2018. Survey of the state of the art in Natural Language Generation: Core tasks, applications and evaluation. Journal of Artificial Intelligence Research (JAIR), 61, pp. 65-170.

TANTI, M., GATT, A. and CAMILLERI, K., 2018. Where to put the image in an image caption generator. Natural Language Engineering, 24(3), pp. 467-489.

VUTRONG, H., GRECO, C., EROFEEVA, A., JAFARITAZEHJANI, S., LINDERS, G., TANTI, M., TESTONI, A., BERNARDI, R. and GATT, A., 2018. Grounded textual entailment, Proceedings of the 27th International Conference on Computational Linguistics (COLING'18) 2018, Association for Computational Linguistics, pp. 2354-2368.

GATT, A., KRAHMER, E., VAN DEEMTER, K. and VAN GOMPEL, R., 2017. Reference Production as Search: The Impact of Domain Size on the Production of Distinguishing Descriptions. Cognitive Science, 41(S6), pp. 1457-1492.

GATT, A. and PORTET, F., 2016. Multilingual generation of uncertain temporal expressions from data: A study of a possibilistic formalism and its consistency with human subjective evaluations. Fuzzy Sets and Systems, 285, pp. 73-93.

  • ARI5905 - Research Topics in Natural Language Processing
  • CGS5081 - Artificial Intelligence
  • LIN1024 - Hands-on Language
  • LIN2301 - Experimental Techinques and Paradigms
  • LIN3011 - Data Driven Natural Language Processing
  • LIN3012 - Data-Driven Natural Language Processing
  • LIN3098 - Corpus Linguistics
  • LIN3504 - Multilingual Computing
  • LIN5111 - Data-driven Methods for Natural Language Processing