=Paper=
{{Paper
|id=Vol-1169/CLEF2003wn-adhoc-deJongEt2003
|storemode=property
|title=Multilingual Retrieval in Twente
|pdfUrl=https://ceur-ws.org/Vol-1169/CLEF2003wn-adhoc-deJongEt2003.pdf
|volume=Vol-1169
|dblpUrl=https://dblp.org/rec/conf/clef/JongRH03
}}
==Multilingual Retrieval in Twente==
<pdf width="1500px">https://ceur-ws.org/Vol-1169/CLEF2003wn-adhoc-deJongEt2003.pdf</pdf>
<pre>
                    Multilingual Retrieval in Twente.
                    Franciska de Jong and Dennis Reidsma and Djoerd Hiemstra
                 TKI research group, dept. of Computer Science, University of Twente
                                       {fdejong@cs.utwente.nl}


                                                   Abstract
          The participation of the University of Twente in CLEF 2003 was very low profile.
       The eternal pressure on resources known to researchers world-wide caused the focus
       of activities to be on other projects for some time. Therefore this paper will not go
       into the techniques with which the results of Twente were produced but rather gives
       an overview of current work in retrieval at the University of Twente.


1      Current Work in Twente.
The TKI reserch group has participated and is participating in several past and ongoing Dutch and
European retrieval projects concerned with the disclosure of multimedia archives. Besides tackling
the problem of processing the multimedia content, many of these projects focus on using parallel
textual content as an extra source of information. This content can help searching effectively on
information that cannot be derived from the multimedia content in itself.
    Within the Dutch project DRUID1 a lot of work has been done on robust speech recognition
for Dutch[2], video segmentation and information extraction and filtering[3]. The IST project
ECHO2 aimed at disclosing historic film materials. The major research themes were content-
based processing of the video material and speech processing. Both projects had a strong focus
on cross lingual retrieval of the content, expanding the results of previous projects.
    The “Waterland project” (an ongoing Dutch project) does not directly concern multilingual
retrieval, but it investigates a flexible and generic architecture for distribution of multimedia
content.
    In Pidgin3 retrieval is not the major theme. However, crosslanguage aspects figure heavily in
this project: the resulting demonstrator should be able to generate automatic “translations” of user
utterances, to enable conversations between persons using different languages. The translations
need not be grammatically perfect, but should be good enough to convey the correct meaning.
    MUMIS4 , a recently completed IST project, was aimed at disclosing video recordings of soccer
matches. The use of parallel textual reports on those matches played a major role in this project.
Furthermore a first start with TKI research on Information Extraction was made in the MUMIS
project. The most interesting development was automatic alignment and merging of the extracted
information from separate sources, which should improve the quality of retrieval [1].
    The above can be summarised as follows: the major part of the TKI research on retrieval
focuses on multilingual access to multimedia content and in the future more work will be done
on Information Extraction for Dutch and especially on the promising theme of cross document
information extraction, using information from one source to improve the extraction for another
source.
    1 http://dis.tpd.tno.nl/druid/
    2 http://pc-erato2.iei.pi.cnr.it/echo/
    3 http://www.pidgin.nl/
    4 http://parlevink.cs.utwente.nl/projects/mumis/
References
[1] Jan Kuper, Horacio Saggion, Hamish Cunningham, Thierry Declerck, Peter Wittenburg, and
    Dennis Reidsma. Intelligent multimedia indexing and retrieval through multi-source infor-
    mation extraction and merging. In Proceedings of the IJCAI’03, Acapulco, August 2003. to
    appear.
[2] Roeland Ordelman, Arjan van Hessen, Franciska de Jong, and David van Leeuwen. Speech
    recognition for dutch spoken document retrieval. In David Bearman and Franca Garzotto,
    editors, Proceedings from the ICHIM01 meeting, Volume 2: Short Papers/Posters and Demos,
    Milan, September 2001.
[3] Martijn Spitters and Wessel Kraaij. A language modeling approach to tracking news events.
    In CBMI’01, Brescia, 2001.

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