The increasing use of machine translation in the workflow of professional translators creates demand for machine translation technology that provides more interactive collaboration, learns from its errors and adapts to the translators' style and adapts the underlying machine translation system online to the specific needs of the translator for the given task.
The next generation of computer aided translation (CAT) tools has to move beyond the use of static machine translation for human post-editing into a much richer division of labor between man and machine that takes full advantage of man's understanding of content and machine's greater ability to quickly process large amounts of data.
On the other hand, these tools will allow a more friendly interaction between the human and the machine through the use of different modalities of interactions as speech, gaze tracking, e-pen, etc. Finally, all of these issues will lead to an increase of the productivity of the professional translators.
Such tools are in development in a number of research labs across the world, one example is the open source workbench developed by the EU-funded projects Matecat and Casmacat, led by the organizers of this workshop.
This workshop brings to together researchers in this nascent subfield of machine translation. The workshop will divide its schedule about equally between invited talks by leading researchers and paper presentations on more recent advances.
We encourage submissions including, but not limited to:
|Paper submission deadline||August 29, 2014|
|Notification of acceptance||September 12, 2014|
|Camera-ready deadline||September 26, 2014|
Papers must not exceed 8 pages plus additional pages for references. All papers should follow the formatting instructions included with the style files, and should be submitted in PDF. Latex, PDF and MS Word style files are available: AMTA2014.latex.zip amta2014.dotx amta2014.pdf
To allow for blind reviewing, please do not include author names and affiliations within the paper and avoid obvious self-references.
Submission and review processes will be handled electronically.
For questions, comments, etc. please send email to email@example.com.
Supported by the European Commision|
under the Matecat and CASMACAT projects (grants 287688 and 287576).