Zobrazeno 1 - 10
of 137
pro vyhledávání: '"POLÁK, PETER"'
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
Autor:
Sperber, Matthias, Bojar, Ondřej, Haddow, Barry, Javorský, Dávid, Ma, Xutai, Negri, Matteo, Niehues, Jan, Polák, Peter, Salesky, Elizabeth, Sudoh, Katsuhito, Turchi, Marco
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds add
Externí odkaz:
http://arxiv.org/abs/2406.03881
Autor:
Polák, Peter
Simultaneous speech translation (SST) aims to provide real-time translation of spoken language, even before the speaker finishes their sentence. Traditionally, SST has been addressed primarily by cascaded systems that decompose the task into subtasks
Externí odkaz:
http://arxiv.org/abs/2310.11141
Autor:
Polák, Peter, Bojar, Ondřej
Current simultaneous speech translation models can process audio only up to a few seconds long. Contemporary datasets provide an oracle segmentation into sentences based on human-annotated transcripts and translations. However, the segmentation into
Externí odkaz:
http://arxiv.org/abs/2309.11384
Publikováno v:
Pol\'ak, P., Yan, B., Watanabe, S., Waibel, A., Bojar, O. (2023) Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff. Proc. INTERSPEECH 2023, 3979-3983
Blockwise self-attentional encoder models have recently emerged as one promising end-to-end approach to simultaneous speech translation. These models employ a blockwise beam search with hypothesis reliability scoring to determine when to wait for mor
Externí odkaz:
http://arxiv.org/abs/2309.11379
Automatic speech translation is sensitive to speech recognition errors, but in a multilingual scenario, the same content may be available in various languages via simultaneous interpreting, dubbing or subtitling. In this paper, we hypothesize that le
Externí odkaz:
http://arxiv.org/abs/2305.16894
Autor:
Yan, Brian, Shi, Jiatong, Tang, Yun, Inaguma, Hirofumi, Peng, Yifan, Dalmia, Siddharth, Polák, Peter, Fernandes, Patrick, Berrebbi, Dan, Hayashi, Tomoki, Zhang, Xiaohui, Ni, Zhaoheng, Hira, Moto, Maiti, Soumi, Pino, Juan, Watanabe, Shinji
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitated by the broadening interests of the spoken language translation community. ESPnet-ST-v2 supports 1) offline speech-to-text translation (ST), 2) simultaneous speech-to-text tran
Externí odkaz:
http://arxiv.org/abs/2304.04596
Summarization is a challenging problem, and even more challenging is to manually create, correct, and evaluate the summaries. The severity of the problem grows when the inputs are multi-party dialogues in a meeting setup. To facilitate the research i
Externí odkaz:
http://arxiv.org/abs/2205.05433
Autor:
Polák, Peter, Ngoc, Ngoc-Quan, Nguyen, Tuan-Nam, Liu, Danni, Mullov, Carlos, Niehues, Jan, Bojar, Ondřej, Waibel, Alexander
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without the need to modify the original model. In our experiments, we show tha
Externí odkaz:
http://arxiv.org/abs/2204.06028
Publikováno v:
In Ceramics International 1 October 2024 50(19) Part C:37291-37299
