The Third DIHARD Diarization Challenge

Autor: Ryant, Neville, Singh, Prachi, Krishnamohan, Venkat, Varma, Rajat, Church, Kenneth, Cieri, Christopher, Du, Jun, Ganapathy, Sriram, Liberman, Mark

DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise conditions, and conversational domain. Speaker diarization was evaluated und

Externí odkaz: http://arxiv.org/abs/2012.01477

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

Autor: Ryant, Neville, Church, Kenneth, Cieri, Christopher, Cristia, Alejandrina, Du, Jun, Ganapathy, Sriram, Liberman, Mark

This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in recording equipment, noise conditions, and conversational domain. Th

Externí odkaz: http://arxiv.org/abs/1906.07839

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Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages

Autor: Dhar, Prajit, Bisazza, Arianna, van Noord, Gertjan, Calzolari, Nicoletta, Béchet, Frédéric, Blache, Philippe, Choukri, Khalid, Cieri, Christopher, Declerck, Thierry, Goggi, Sara, Isahara, Hitoshi, Maegaard, Bente, Mariani, Joseph, Mazo, Hélène, Odijk, Jan, Piperidis, Stelios

Publikováno v: Proceedings of the 13th Language Resources and Evaluation Conference

The scarcity of parallel data is a major limitation for Neural Machine Translation (NMT) systems, in particular for translation into morphologically rich languages (MRLs). An important way to overcome the lack of parallel data is to leverage target m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::3791f95561a959960d751ad38937a3e7
https://research.rug.nl/en/publications/76796344-9c39-4908-8556-83851fec6f22

AGILe: The First Lemmatizer for Ancient Greek Inscriptions

Autor: de Graaf, Evelien, Stopponi, Silvia, Bos, Jasper, Peels-Matthey, Saskia, Nissim, Malvina, Calzolari, Nicoletta, Béchet, Frédéric, Blache, Philippe, Choukri, Khalid, Cieri, Christopher, Declerck, Thierry, Goggi, Sara, Isahara, Hitoshi, Maegaard, Bente, Mariani, Joseph, Mazo, Hélène, Odijk, Jan, Piperidis, Stelios

Publikováno v: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 5334-5344
STARTPAGE=5334;ENDPAGE=5344;TITLE=Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::cda3afc6996405a1beb8c1fcd079cc4d
https://research.rug.nl/en/publications/8d764398-0cec-4056-9c52-52d0e9c0f4b2