Abstract
With the development of Web 2.0, a lot of content is nowadays generated online by users. Due to its characteristics (e.g., use of jargon and abbreviations, typos, grammatical and style errors), the user-generated content poses specific challenges to machine translation. This paper presents an online platform devoted to the pre-editing of user-generated content and its post-editing, two main types of human assistance strategies which are combined with domain adaptation and other techniques in order to improve the translation of this type of content. The platform has recently been released publicly and is being tested by two main types of user communities, namely, technical forum users and volunteer translators.
Cite
CITATION STYLE
Seretan, V., Roturier, J., Silva, D., & Bouillon, P. (2014). The ACCEPT Portal: An Online Framework for the Pre-editing and Post-editing of User-Generated Content. In EACL 2014 - 14th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Workshop on Humans and Computer-assisted Translation, HaCaT 2014 (pp. 66–71). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-0310
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