Machine Translation and Morphologically-rich Languages
Research Workshop of the Israel Science Foundation
University of Haifa, Israel, 23-27 January, 2011
Machine translation remains the holy grail of computational linguistics. While this field of research has had tremendous progress in the last decade, especially with the introduction of statistical methods, translation between morphologically-rich languages remains a highly challenging task. This Workshop addresses machine translation (and related multilingual applications) in the context of morphologically-rich languages. Relevant topics include, but are not limited to, translation to and from such languages; transliteration and translation of named entities; morphological pre-processing and post-processing; language modeling of morphologically-rich languages; and multilingual language resources.
The format of the Workshop is deliberately informal: it will include oral presentations, both invited and contributed, but will leave ample time for informal discussions, demonstrations and brainstorming. The Workshop provides an opportunity to present the current state-of-the-art, as well as future needs and directions. Complete works as well as work in progress are equally welcome for presentation.
To encourage interaction and collaboration, an extensive social program is planned, including a welcome reception, a banquet and a one-day sightseeing tour.
Participation is free of charge, but participants are kindly asked to regsiter in advance. Registration is now available on-line at http://mt.cs.haifa.ac.il/mtml/. Please register at your earliest convenience, but in any case before December 31, 2010.
Abstratcs should be submitted on-line at http://mt.cs.haifa.ac.il/mtml/. The deadline for submission is October 20, 2010.
The Workshop is funded by the Israel Science Foundation, and is generously supported by The Caesarea Edmond Benjamin de Rothschild Foundation Institute for Interdisciplinary Applications of Computer Science at the University of Haifa.
firstname.lastname@example.org, modified Sunday November 24, 2013.