TraMOOC - Translation for Massive Open Online Courses: Recent Developments in Machine Translation

Autor: Sennrich, R., Barone, A. V. M., Moorkens, J., Castilho, S., Way, A., Gaspari, F., Kordoni, V., Egg, M., Popovic, M., Georgakopoulou, Y., Gialama, M., Menno van Zaanen

Publikováno v: The 20th Annual Conference of the European Association for Machine Translation
Scopus-Elsevier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab8173e222317c89c44b39e15a3cced5
https://research.tilburguniversity.edu/en/publications/7909e2fa-4f03-49d9-854d-4bb7b63cd3af

Improving machine translation of educational content via crowdsourcing

Autor: Behnke, M., Barone, A. V. M., Sennrich, R., Sosoni, V., Naskos, T., Takoulidou, E., Stasimioti, M., Menno van Zaanen, Castilho, S., Gaspari, F., Georgakopoulou, P., Kordoni, V., Egg, M., Kermanidis, K. L.

Publikováno v: Scopus-Elsevier
Behnke, Maximiliana, Miceli Barone, Antonio Valerio, Sennrich, Rico, Sosoni, Vilelmini, Naskos, Thanasis, Takoulidou, Eirini, Stasimioti, Maria, Menno, van Zaanen, Castilho, Sheila ORCID: 0000-0002-8416-6555 , Gaspari, Federico ORCID: 0000-0003-3808-8418 , Georgakopoulou, Panayota ORCID: 0000-0001-9780-1813 , Kordoni, Valia, Egg, Markus and Kermanidis, Katia Lida ORCID: 0000-0002-3270-5078 (2018) Improving machine translation of educational content via crowdsourcing. In: LREC 2018-11th International Conference on Language Resources and Evaluation, Miyazaki, Japan. ISBN 979-10-95546-19-1
Behnke, M, Miceli Barone, A V, Sennrich, R, Sosoni, V, Naskos, T, Takoulidou, E, Stasimioti, M, van Zaanan, M, Castilho, S, Gaspari, F, Georgakopoulou, P, Kordoni, V, Egg, M & Kermanidis, K L 2018, Improving Machine Translation of Educational Content via Crowdsourcing . in 11th Edition of the Language Resources and Evaluation Conference . Miyazaki, Japan, pp. 3343-3347, 11th Edition of the Language Resources and Evaluation Conference, Miyazaki, Japan, 7/05/18 . < http://www.lrec-conf.org/proceedings/lrec2018/summaries/855.html >

The limited availability of in-domain training data is a major issue in the training of application-specific neural machine translation models. Professional outsourcing of bilingual data collections is costly and often not feasible. In this paper we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8000c7b7e7768971c8996644bf9cf827
http://www.scopus.com/inward/record.url?eid=2-s2.0-85059903226&partnerID=MN8TOARS

Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey.

Autor: Saunders, Danielle

Publikováno v: Journal of Artificial Intelligence Research; 2022, Vol. 75, p351-424, 74p

A preordering model based on phrasal dependency tree.

Autor: Farzi, Saeed, Faili, Heshaam, Kianian, Sahar

Publikováno v: Digital Scholarship in the Humanities; Dec2018, Vol. 33 Issue 4, p748-765, 18p, 5 Diagrams, 6 Charts, 6 Graphs

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Autor: Barone, Antonio Valerio Miceli, Sennrich, Rico

Publikováno v: Barone, A V M & Sennrich, R 2017, A parallel corpus of Python functions and documentation strings for automated code documentation and code generation . in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017) . vol. 2, pp. 314-319, The 8th International Joint Conference on Natural Language Processing, Taipei, Taiwan, Province of China, 27/11/17 . < http://aclweb.org/anthology/I17-2053 >

Automated documentation of programming source code and automated code generation from natural language are challenging tasks of both practical and scientific interest. Progress in these areas has been limited by the low availability of parallel corpo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3094::d83fa7ba4aa58157e5cc4e2acf03d39d
https://www.pure.ed.ac.uk/ws/files/44423958/code_docstring_corpus_IJCNLP17_1.pdf