Report on Flexible Word Order

[Daniel Memmi]

The following technical report might of interest to connectionists in
natural language processing and to computational linguists:


"Processing Flexible Word Order Languages with Neural Networks"

D. Memmi (LEIBNIZ-IMAG-CNRS, Grenoble, France)

Abstract: most research in computational linguistics is strongly inspired
by the particular structure and rigid word order of the English language,
although many common languages exhibit in fact a much freer syntax. These
languages should be interpreted by using various other cues (morphological
or semantic) beside word order. We will show how recurrent neural networks
can learn to use a variety of cues as well as word order so as to interpret
simple sentences. This connectionist approach will be applied to several
different languages: Japanese, French and Spanish. In this way will be
demonstrated the diversity of linguistic cues available for natural
language processing.


The report is available on-line at the following address.

- for a PDF version:
http://www-leibniz.imag.fr/LesCahiers/CLLeib03.pdf

- for a Postscript version:
http://www-leibniz.imag.fr/LesCahiers/CLLeib03.ps


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Daniel Memmi                      Neural Networks Group

LEIBNIZ-IMAG                    Tel:  (33) 4 76 57 46 64
46, avenue Felix Viallet       Fax:  (33) 4 76 57 46 02
38000 Grenoble (France)       Email: memmi at imag.fr

www-leibniz.imag.fr       www-leibniz.imag.fr/RESEAUX/
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