[Apologies for multiple postings]
See you at Hilton Austin hotel on November 1st ..
AMTA 2016 Workshop
Semitic Machine Translation (SeMaT)
Collocated with EMNLP 2016
Hilton Austin hotel, Austin, Texas, USA
November 1st, 2016
http://semitic-mt.seas.gwu.edu
Background
Semitic languages are used by a significantly large population of native
speakers and belong to a family that includes classical Arabic, a large
number of Arabic dialects, Hebrew, Amharic, Maltese and other languages.
These languages are characterized by a system of word formation based on
roots and patterns, a rich and productive morphology (including
non-concatenative processes), a diversity of orthographic conventions and,
unfortunately, limited language resources suitable for computational
research and development.
Research on machine translation of Semitic languages is still in its early
stages. Accurate translation of Arabic, Hebrew, Amharic, Maltese and other
Semitic languages requires treatment of unique linguistic characteristics,
some of which are common to all Semitic languages, others specific to each
of these individual languages and their dialects.
The goal of this workshop is to bring together researchers and research
specifically concerned with issues pertaining to machine translation to,
from, and among Semitic languages. Furthermore, the workshop will be an
opportunity for the Special Interest Group on Computational Approaches to
Semitic Languages (the SIG) to meet and discuss future direction in
Computational Linguistics and Natural Language Processing approaches to
Semitic Languages.
Invited Speakers
*- Philipp Koehn,* Department of Computer Science, The Johns Hopkins
University
talking about "*Morphology in Low Resource Machine Translation*"
- *Marine Carpuat,* Computer Science, University of Maryland and UMIACS
talking about "*Domain and Other Data Divergences in Machine
Translation*"
- *Hassan Sajjad,* Arabic Language Technology Group, the Qatar Computing
Research Institute
talking about "*From Phrase-based to Neural Machine Translation*"
Program
November 1, 2016
*Opening Session*
09:00–09:15 *Welcome Remarks*
09:15–10:00 *From Phrase-based to Neural Machine Translation*
Keynote Talk by: *Hassan Sajjad*
10:00–10:30 *An Arabic-Hebrew parallel corpus of TED talks*
Mauro Cettolo
10:30–11:00 *Coffee Break*
*Session 2*
11:00–11:30 *Domain and Other Data Divergences in Machine Translation*
Keynote Talk by: *Marine Carpuat*
11:30–12:00 *Large-Scale Machine Translation between Arabic and Hebrew:
Available Corpora **and Initial Results*
Yonatan Belinkov and James Glass
12:00–12:30 *GISA: Giza++ Implementation over Spark by Apache*
John Cadigan and Yuval Marton
12:30–14:00 *Lunch*
*Session 3*
14:00–14:30 *Normalizing Mathematical Expressions to Improve the
Translation of Educational **Content*
Wajdi Zaghouani, Ahmed Abdelali, Francisco Guzmán and
Hassan Sajjad
14:30–15:00 *Morphology in Low Resource Machine Translation*
Keynote Talk by: *Philipp Koehn*
15:00–15:15 *Closing Remarks*
Organizers
Mahmoud Ghoneim (The George Washington University)
Mona Diab (The George Washington University)
Houda Bouamor (Carnegie Mellon University Qatar)
Ahmed ElKholy (Microsoft USA)
Yuval Marton (Microsoft USA)
Program Committee
Alon Lavie, Carnegie Mellon University
Nizar Habash, New York University Abu Dhabi
Kamel Smaili, Laboratoire Lorrain de Recherche en Informatique et ses
Applications (LORIA)
Khaled Shaalan, The British University in Dubai (BUiD)
Francisco Guzmán, Facebook
Hamdy Mubarak, Qatar Computing Research Institute (QCRI)
Michael Gasser, Indiana University
Fethi Bougares, Laboratoire d'Informatique de l'Université du Maine
Gorka Labaka, University of the Basque Country
Laurent Besacier, Laboratoire d’Informatique de Grenoble, équipe GETALP
Haithem Afli, DCU/CNGL laboratory, Dublin
Maryam Aminian, Columbia University
------
Thanks,
Mahmoud Ghoneim, PhD
Research Scientist
Computer Science Department
School of Engineering and Applied Science
The George Washington University
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