Overview of the IWSLT 2017 Evaluation Campaign
Year: 2017
Type: article
Abstract: The IWSLT 2017 evaluation campaign has organised three tasks. The Multilingual task, which is about training machine translation systems handling many-to-many language directions, including so-called zero-shot directions. The Dialogue task, which calls for the integration of context information in machine translation, in order to resolve anaphoric references that typically occur in human-human dialogue turns. And, finally, the Lecture task, which offers the challenge of automatically transcribing and translating real-life university lectures. Following the tradition of these reports, we will described all tasks in detail and present the results of all runs submitted by their participants.
Source: KITopen
Authors: Federmann, C., Cettolo, M., Bentivogli, L., Niehues, J., Stüker, S., Sudoh, K., Yoshino, K., Federico, M.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6950163006
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