Browsing Research Institutes and Centres by Author "Fransen, Theodorus"

Now showing items 1-9 of 9

    • Automatic morphological analysis and interlinking of historical Irish cognate verb forms 

      Fransen, Theodorus (De Gruyter Mouton, 2020)
      The main aim of the author’s research project is to use computational approaches to gain more insight into the historical development of Irish verbs. One of the objectives is to investigate how a link between the electronic ...

    • Cardamom: Comparative deep models for minority and historical languages 

      McCrae, John Philip; Fransen, Theodorus (Language Technologies for All (LT4All), 2019-12-05)
      This paper gives an overview of the Cardamom project, which aims to close the resource gap for minority and under-resourced languages by means of deep-learning-based natural language processing (NLP) and exploiting ...

    • A comparative study of different state-of-the-art hate speech detection methods in Hindi-English code-mixed data 

      Rani, Priya; Suryawanshi, Shardul; Goswami, Koustava; Chakravarthi, Bharathi Raja; Fransen, Theodorus; McCrae, John P. (European Language Resources Association (ELRA), 2020-05-11)
      Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities. In an environment where multilingual speakers switch among multiple languages, ...

    • Cross-lingual sentence embedding using multi-task learning 

      Goswami, Koustava; Dutta, Sourav; Assem, Haytham; Fransen, Theodorus; McCrae, John P. (Association for Computational Linguistics, 2021-11-07)
      Multilingual sentence embeddings capture rich semantic information not only for measuring similarity between texts but also for catering to a broad range of downstream cross-lingual NLP tasks. State-of-the-art multilingual ...

    • Findings of the LoResMT 2021 shared task on COVID and sign language for low-resource languages 

      Ojha, Atul Kr.; Liu, Chao-Hong; Kann, Katharina; Ortega, John; Shatam, Sheetal; Fransen, Theodorus (Association for Machine Translation in the Americas, 2021-08)
      We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization of this task was conducted as part of the ...

    • A multilingual evaluation dataset for monolingual word sense alignment 

      Ahmadi, Sina; McCrae, John P.; Nimb, Sanni; Khan, Fahad; Monachini, Monica; Pedersen, Bolette S.; Declerck, Thierry; Wissik, Tanja; Bellandi, Andrea; Pisani, Irene; Troelsgård, Thomas; Olsen, Sussi; Krek, Simon; Lipp, Veronika; Váradi, Tamás; Simon, László; Gyorffy, Andras; Tiberius, Carole; Schoonheim, Tanneke; Moshe, Yifat Ben; Rudich, Maya; Ahmad, Raya Abu; Lonke, Dorielle; Kovalenko, Kira; Langemets, Margit; Kallas, Jelena; Oksana, Dereza; Fransen, Theodorus; Cillessen, David; Lindemann, David; Alonso, Mikel; Salgado, Ana; Sancho, Jose Luis; Urena-Ruiz, Rafael-J.; Zamorano, Jordi Porta; Simov, Kiril; Osenova, Petya; Kancheva, Zara; Radev, Ivaylo; Stankovic, Ranka; Perdih, Andrej; Gabrovsek, Dejan (National University of Ireland Galway, 2020-05-16)
      Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually ...

    • Towards an integrative approach for making sense distinctions 

      McCrae, John P.; Fransen, Theodorus; Ahmadi, Sina; Buitelaar, Paul; Goswami, Koustava (Frontiers Media, 2022-02-07)
      Word senses are the fundamental unit of description in lexicography, yet it is rarely the case that different dictionaries reach any agreement on the number and definition of senses in a language. With the recent rise in ...

    • ULD@NUIG at SemEval-2020 Task 9: Generative morphemes with an attention model for sentiment analysis in code-mixed text 

      Goswami, Koustava; Rani, Priya; Chakravarthi, Bharathi Raja; Fransen, Theodorus; McCrae, John P. (International Committee for Computational Linguistics, 2020)
      Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over different social media sites have led to an ...

    • Unsupervised deep language and dialect identification for short texts 

      Goswami, Koustava; Sarkar, Rajdeep; Chakravarthi, Bharathi Raja; Fransen, Theodorus; McCrae, John P. (International Committee on Computational Linguistics, 2020-12)
      Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of closely related languages or dialects, is one of the primary steps in many natural language processing pipelines. Language identification ...