advances in computer sciences and the emergence of innovative technologies have entered numerous new elements of change in translation industry, such as the inseparable usage of software programs in audiovisual translation. initiated by the expanding reality of fandubbing in iran, the present article aimed at illuminating this practice into persian in the iranian context to partly address the l...

Previous research on quality estimation for machine translation has demonstrated the possibility of predicting the translation quality of well-formed data. We present a first study on estimating the translation quality of user-generated content. Our dataset contains English technical forum comments which were translated into French by three automatic systems. These translations were rated in te...

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In this paper, we study how humans perceive the use of images as an additional knowledge source to machine-translate usergenerated product listings in an e-commerce company. We conduct a human evaluation where we assess how a multi-modal neural machine translation (NMT) model compares to two text-only approaches: a conventional state-of-the-art attention-based NMT and a phrase-based statistical...

Description The need for quick-turnaround, high-volume machine translation (MT) projects continues to grow in the localization industry. There is a wide range of quality requirements not only across different clients, but often within a single client across different content types (sales & marketing materials, user-generated content, website content, user manuals, etc.). Most clients have style...

Machine translation (MT) is most often used for texts of publishable quality. However, there is increasing interest in providing translations of user-generated content in customer forums. This paper describes research towards addressing this challenge by automatically improving the quality of community forum data to improve MT results.

this study looks at the communication between users concerning health risks, with the aim of exploring their use of fora and assessing whether participants establish a niche with like-minded users during these exchanges. by integrating a corpus linguistic approach with content analysis and multiple studies on computer mediated health discourse, this study analyses the intense attention paid to ...