Zobrazeno 1 - 10
of 1 155
pro vyhledávání: '"Transfer-based machine translation"'
Autor:
Ghiță, Andreea
Publikováno v:
Professional Communication and Translation Studies. (15):108-118
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1027695
Autor:
Krishnamurthy Parameswari
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 493-504 (2019)
Building an automatic, high-quality, robust machine translation (MT) system is a fascinating yet an arduous task, as one of the major difficulties lies in cross-linguistic differences or divergences between languages at various levels. The existence
Externí odkaz:
https://doaj.org/article/13cd94f867c2407bacb77b7b213c6834
Autor:
Parameswari Krishnamurthy
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 493-504 (2019)
Building an automatic, high-quality, robust machine translation (MT) system is a fascinating yet an arduous task, as one of the major difficulties lies in cross-linguistic differences or divergences between languages at various levels. The existence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33dcec24e8c3ae64b274d5bb3a54dcc2
https://doi.org/10.1515/jisys-2018-0214
https://doi.org/10.1515/jisys-2018-0214
Publikováno v:
Linguistica Antverpiensia, New Series – Themes in Translation Studies. 8
ing forms in English are reported to be problematic for Machine Transla-tion and are often the focus of rules in Controlled Language rule sets. We investigated how problematic -ing forms are for an RBMT system, translat-ing into four target languages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9e129ebbc7079c7fc607207c0ace008
https://doi.org/10.52034/lanstts.v8i.247
https://doi.org/10.52034/lanstts.v8i.247
Autor:
Lieve Macken, Els Lefever
Publikováno v:
Linguistica Antverpiensia, New Series – Themes in Translation Studies. 7
In this paper, we will describe the current state-of-the-art of Statistical Machine Translation (SMT), and reflect on how SMT handles meaning. Statistical Machine Translation is a corpus-based approach to MT: it de-rives the required knowledge to gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13325d8b2480f41f156e815ae79a89a9
https://doi.org/10.52034/lanstts.v7i.215
https://doi.org/10.52034/lanstts.v7i.215
Autor:
Greg S. Corrado, Mike Schuster, Fernanda B. Viégas, Zhifeng Chen, Melvin Johnson, Nikhil Thorat, Jeffrey Dean, Quoc V. Le, Macduff Hughes, Martin Wattenberg, Yonghui Wu, Maxim Krikun
Publikováno v:
Transactions of the Association for Computational Linguistics. 5:339-351
We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no changes to the model architecture from a standard NMT system but instead introduces an artificial to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5d1937b2d1cb257c81236e2bfac40c1
https://doi.org/10.1162/tacl_a_00065
https://doi.org/10.1162/tacl_a_00065
Publikováno v:
Machine Translation. 32:167-189
The problem of a total absence of parallel data is present for a large number of language pairs and can severely detriment the quality of machine translation. We describe a language-independent method to enable machine translation between a low-resou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d6b55a9d15cc27b19f597bb47421b05
https://doi.org/10.1007/s10590-017-9203-5
https://doi.org/10.1007/s10590-017-9203-5
Autor:
Rafat Y. Alwazna
Publikováno v:
Babel. Revue internationale de la traduction / International Journal of Translation. 63:364-378
Translation can be seen as a process through which the translator begins with the source text, with an attempt at analyzing this particular text into semantic construction. The translator then reconstructs the semantic construction concerned into pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3550e20d687641cd81e3f4dfc5eb19ea
https://doi.org/10.1075/babel.63.3.04alw
https://doi.org/10.1075/babel.63.3.04alw
Autor:
Benyamin Ahmadnia, Javier Serrano
Publikováno v:
International Journal on Natural Language Computing. 6:37-47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a066e963166e31e8504f300401b87dbe
https://doi.org/10.5121/ijnlc.2017.6503
https://doi.org/10.5121/ijnlc.2017.6503
Publikováno v:
Machine Translation. 32:45-57
We describe BBN's contribution to the machine translation (MT) task in the LoReHLT 2016 evaluation, focusing on the techniques and methodologies employed to build the Uyghur---English MT systems in low-resource conditions. In particular, we discuss t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2abd139f100af2b69dd41fd2c7dd23a6
https://doi.org/10.1007/s10590-017-9206-2
https://doi.org/10.1007/s10590-017-9206-2