[lg policy] CFP: Information Retrieval and Information Extraction for less resourced langua
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Wed Jul 8 16:19:06 UTC 2009
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[Apologies in advance for any multiple postings]
Call for participation
Information Retrieval and Information Extraction
for Less Resourced Languages
SEPLN 2009 pre-conference workshop
University of the Basque Country
Donostia-San sebastián. Monday 7th September 2009
Organised by the SALTMIL Special Interest Group of ISCA
Deadline for early registration: 15th July 2009
Details on how to register:
09:30 Invited Talk. Lars Borin
10:30 Papers (20+5) min.
1. Information retrieval and extraction in Maltese and Hebrew:
Issues in creating web-based corpora and lexical tools for
Adam Ussishkin, Jerid Francom, Dainon Woudstra
2. TETEYEQ: A mharic question answering for factoid question.
Seid Muhie Yimam, Mulugeta Libsie
11:20 Coffee break
11:40 Papers (20+5) min.
3. Using Wikipedia for Named Entities Translation
Izaskun Fernandez, Iñaki Alegria, Nerea Ezeiza
4. Ihardetsi: A Question Answering system for Basque built on
reused linguistic processors.
Iñaki Alegria, Olatz Ansa, Xabier Arregi , Arantza Otegi,
12:30 Projects (10 min. each)
1. Babelium Project. Promoting the Use and Learning of Minority
Juan A. Pereira Varela, Silvia Sanz-Santamaría, Julián
2. A web-based system for multilingual school reports
David Chan, Dewi Jones, Oggy East
3. The SALT Cymru Special Interest Group – European Funding
Encouraging Collaboration Between Academia and Business in
Wales within the field of Speech and Language Technology.
4. Automated English subtitling of Welsh TV Programmes
5. A Dictionary Shell
Florie Moulin, Laura Laluque, Geróid Ó Néill
"Less resourced languages and Language technology.
Short- and medium-term objectives"
CONTEXT AND FOCUS
The phenomenal growth of the Internet has led to a situation where, by
some estimates, more than one billion words of text is currently
available. This is far more text than any given person can possibly
process. Hence there is a need for automatic tools to access and process
his mass of textual information. Emerging techniques of this kind
include Information Retrieval (IR), Information Extraction (IE), and
Question Answering (QA)
However, there is a growing concern among researchers about the
situation of languages other than English. Although not all Internet
text is in English, it is clear that non-English languages do not have
the same degree of representation on the Internet. Simply counting the
number of articles in Wikipedia, English is the only language with more
than 20 percent of the available articles. There then follows a group of
17 languages with between one and ten percent of the articles. The
remaining 245 languages each have less than one percent of the articles.
Even these low-profile languages are relatively privileged, as the total
number of languages in the world is estimated to be 6800.
Clearly there is a danger that the gap between high-profile and
low-profile languages on the Internet will continue to increase, unless
tools are developed for the low-profile languages to access textual
information. Hence there is a pressing need to develop basic language
technology software for less-resourced languages as well. In particular,
the priority is to adapt the scope of recently-developed IE, IR and QA
systems so that they can be used also for these languages. In doing so,
several questions will naturally arise, such as:
* What problems emerge when faced with languages having different
linguistic features from the major languages?
* Which techniques should be promoted in order to get the maximum
yield from sparse training data?
* What standards will enable researchers to share tools and
techniques across several different languages?
* Which tools are easily re-useable across several unrelated
It is hoped that presentations will focus on real-world examples, rather
than purely theoretical discussions of the questions. Researchers are
encouraged to share examples of best practice -- and also examples where
tools have not worked as well as expected. Also of interest will be
cases where the particular features of a less-resourced language raise a
challenge to currently accepted linguistic models that were based on
features of major languages.
* Kepa Sarasola, University of the Basque Country
* Mikel Forcada, Universitat d'Alacant
* Iñaki Alegria. University of the Basque Country
* Xabier Arregi, University of the Basque Country
* Arantza Casillas. University of the Basque Country
* Francis Tyers, Universitat d'Alacant
* Briony Williams, Language Technologies Unit, Bangor University,
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