Zobrazeno 1 - 10
of 152
pro vyhledávání: '"PECINA, PAVEL"'
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
The majority of recent progress in Optical Music Recognition (OMR) has been achieved with Deep Learning methods, especially models following the end-to-end paradigm, reading input images and producing a linear sequence of tokens. Unfortunately, many
Externí odkaz:
http://arxiv.org/abs/2403.13763
Autor:
Auersperger, Michal, Pecina, Pavel
Compositionality has traditionally been understood as a major factor in productivity of language and, more broadly, human cognition. Yet, recently, some research started to question its status, showing that artificial neural networks are good at gene
Externí odkaz:
http://arxiv.org/abs/2206.04751
We describe our NMT systems submitted to the WMT19 shared task in English-Czech news translation. Our systems are based on the Transformer model implemented in either Tensor2Tensor (T2T) or Marian framework. We aimed at improving the adequacy and coh
Externí odkaz:
http://arxiv.org/abs/1907.12750
Autor:
Hajič Jr., Jan, Pecina, Pavel
Noteheads are the interface between the written score and music. Each notehead on the page signifies one note to be played, and detecting noteheads is thus an unavoidable step for Optical Music Recognition. Noteheads are clearly distinct objects, how
Externí odkaz:
http://arxiv.org/abs/1708.01806
Autor:
Hajič jr., Jan, Pecina, Pavel
Optical Music Recognition (OMR) has long been without an adequate dataset and ground truth for evaluating OMR systems, which has been a major problem for establishing a state of the art in the field. Furthermore, machine learning methods require trai
Externí odkaz:
http://arxiv.org/abs/1703.04824
Autor:
PECINA, PAVEL1 ppecina@ped.muni.cz, ANDRISIUNAS, JONAS2 Jonas.Andriusiunas@gmail.com
Publikováno v:
Ad Alta: Journal of Interdisciplinary Research. Jun2023, Vol. 13 Issue 1, p211-215. 5p.
Neural sequence to sequence learning recently became a very promising paradigm in machine translation, achieving competitive results with statistical phrase-based systems. In this system description paper, we attempt to utilize several recently publi
Externí odkaz:
http://arxiv.org/abs/1606.07481