Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Borg, Claudia"'
Autor:
Ahmad, Ibrahim Said, Anastasopoulos, Antonios, Bojar, Ondřej, Borg, Claudia, Carpuat, Marine, Cattoni, Roldano, Cettolo, Mauro, Chen, William, Dong, Qianqian, Federico, Marcello, Haddow, Barry, Javorský, Dávid, Krubiński, Mateusz, Lam, Tsz Kin, Ma, Xutai, Mathur, Prashant, Matusov, Evgeny, Maurya, Chandresh, McCrae, John, Murray, Kenton, Nakamura, Satoshi, Negri, Matteo, Niehues, Jan, Niu, Xing, Ojha, Atul Kr., Ortega, John, Papi, Sara, Polák, Peter, Pospíšil, Adam, Pecina, Pavel, Salesky, Elizabeth, Sethiya, Nivedita, Sarkar, Balaram, Shi, Jiatong, Sikasote, Claytone, Sperber, Matthias, Stüker, Sebastian, Sudoh, Katsuhito, Thompson, Brian, Turchi, Marco, Waibel, Alex, Watanabe, Shinji, Wilken, Patrick, Zemánek, Petr, Zevallos, Rodolfo
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech t
Externí odkaz:
http://arxiv.org/abs/2411.05088
Although multilingual language models exhibit impressive cross-lingual transfer capabilities on unseen languages, the performance on downstream tasks is impacted when there is a script disparity with the languages used in the multilingual model's pre
Externí odkaz:
http://arxiv.org/abs/2401.16895
Autor:
Tanti, Marc, Abdilla, Shaun, Muscat, Adrian, Borg, Claudia, Farrugia, Reuben A., Gatt, Albert
Current image description generation models do not transfer well to the task of describing human faces. To encourage the development of more human-focused descriptions, we developed a new data set of facial descriptions based on the CelebA image data
Externí odkaz:
http://arxiv.org/abs/2205.12342
Multilingual language models such as mBERT have seen impressive cross-lingual transfer to a variety of languages, but many languages remain excluded from these models. In this paper, we analyse the effect of pre-training with monolingual data for a l
Externí odkaz:
http://arxiv.org/abs/2205.10517
Autor:
DeMarco, Andrea, Mena, Carlos, Gatt, Albert, Borg, Claudia, Williams, Aiden, van der Plas, Lonneke
Recent years have seen an increased interest in the computational speech processing of Maltese, but resources remain sparse. In this paper, we consider data augmentation techniques for improving speech recognition for low-resource languages, focusing
Externí odkaz:
http://arxiv.org/abs/2111.07793
Recent work has shown evidence that the knowledge acquired by multilingual BERT (mBERT) has two components: a language-specific and a language-neutral one. This paper analyses the relationship between them, in the context of fine-tuning on two tasks
Externí odkaz:
http://arxiv.org/abs/2109.06935
Autor:
Mena, Carlos, Gatt, Albert, DeMarco, Andrea, Borg, Claudia, van der Plas, Lonneke, Muscat, Amanda, Padovani, Ian
Maltese, the national language of Malta, is spoken by approximately 500,000 people. Speech processing for Maltese is still in its early stages of development. In this paper, we present the first spoken Maltese corpus designed purposely for Automatic
Externí odkaz:
http://arxiv.org/abs/2008.05760
Autor:
Gatt, Albert, Tanti, Marc, Muscat, Adrian, Paggio, Patrizia, Farrugia, Reuben A., Borg, Claudia, Camilleri, Kenneth P., Rosner, Mike, van der Plas, Lonneke
The past few years have witnessed renewed interest in NLP tasks at the interface between vision and language. One intensively-studied problem is that of automatically generating text from images. In this paper, we extend this problem to the more spec
Externí odkaz:
http://arxiv.org/abs/1803.03827
Autor:
Borg, Claudia, Gatt, Albert
Maltese is a morphologically rich language with a hybrid morphological system which features both concatenative and non-concatenative processes. This paper analyses the impact of this hybridity on the performance of machine learning techniques for mo
Externí odkaz:
http://arxiv.org/abs/1703.08701
Autor:
Vasiļevskis, Artūrs, Ziediņš, Jānis, Tadić, Marko, Motika, Željka, Fishel, Mark, Barkarson, Bjarni, Borg, Claudia, Aquilina, Keith, Spiteri, Donatienne
The final stage and the demo of the National Language Technology Platform (NLTP) developed within the CEF action of the same name is present- ed in this paper. The action aims at combining the most advanced language technology tools and solutions in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::3bb604032b0ac4f3b1e0faa9b50b0d1c
https://www.bib.irb.hr/1282751
https://www.bib.irb.hr/1282751