| 1 |
Improving machine translation of educational content via crowdsourcing
|
|
Behnke, Maximiliana; Miceli Barone, Antonio Valerio; Sennrich, Rico; Sosoni, Vilelmini; Naskos, Thanasis; Takoulidou, Eirini; Stasimioti, Maria; Menno, van Zaanen; Castilho, Sheila; Gaspari, Federico; Georgakopoulou, Panayota; Kordoni, Valia; Egg, Markus; Kermanidis, Katia Lida
|
|
In: 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 (2018)
|
|
Abstract:
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 analyze the influence of using crowdsourcing as a scalable way to obtain translations of target in-domain data having in mind that the translations can be of a lower quality. We apply crowdsourcing with carefully designed quality controls to create parallel corpora for the educational domain by collecting translations of texts from MOOCs from English to eleven languages, which we then use to fine-tune neural machine translation models previously trained on general-domain data. The results from our research indicate that crowdsourced data collected with proper quality controls consistently yields performance gains over general-domain baseline systems, and systems fine-tuned with pre-existing in-domain corpora.
|
|
Keyword:
crowdsourcing; Machine translating; MOOCs; neural machine translation
|
|
URL: http://doras.dcu.ie/23201/
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
Translation crowdsourcing: creating a multilingual corpus of online educational content
|
|
|
|
In: Sosoni, Vilelmini orcid:0000-0002-9583-4651 , Kermanidis, Katia Lida orcid:0000-0002-3270-5078 , Stasimioti, Maria orcid:0000-0002-3270-5078 , Naskos, Thanasis, Takoulidou, Eirini, van Zaanen, Menno, Castilho, Sheila orcid:0000-0002-8416-6555 , Georgakopoulou, Panayota orcid:0000-0001-9780-1813 , Kordoni, Valia and Egg, Markus (2018) Translation crowdsourcing: creating a multilingual corpus of online educational content. In: 11th International Conference on Language Resources and Evaluation, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-00-9 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
A comparative quality evaluation of PBSMT and NMT using professional translators
|
|
|
|
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss, Gaspari, Federico, Sennrich, Rico, Sosoni, Vilelmini, Georgakopoulou, Panayota, Lohar, Pintu, Way, Andy orcid:0000-0001-5736-5930 , Miceli Barone, Antonio Valerio and Gialama, Maria (2017) A comparative quality evaluation of PBSMT and NMT using professional translators. In: MT Summit XVI, 18-22 Sept 2017, Nagoya, Japan. (2017)
|
|
BASE
|
|
Show details
|
|
|
|
|
