EACL 2009 workshop on
Computational Linguistic Aspects of Grammatical Inference
Call for Papers
30 March 2009
Colocated with
The 12th Conference of the
European Chapter of the Association for Computational Linguistics
Athens, Greece
Submission deadline: 19 December 2008
http://ilk.uvt.nl/clagi09
There has been growing interest over the last few years in learning
grammars from natural language text (and structured or semistructured
text). The family of techniques enabling such learning is usually
called "grammatical inference" or "grammar induction".
The field of grammatical inference is often subdivided into formal
grammatical inference, where researchers aim to proof efficient
learnability of classes of grammars, and empirical grammatical
inference, where the aim is to learn structure from data. In this
case the existence of an underlying grammar is just regarded as a
hypothesis and what is sought is to better describe the language
through some automatically learned rules.
Both formal and empirical grammatical inference have been linked with
(computational) linguistics. Formal learnability of grammars has been
used in discussions on how people learn language. Some people mention
proofs of (non)learnability of certain classes of grammars as
arguments in the empiricist/nativist discussion. On the more
practical side, empirical systems that learn grammars have been
applied to natural language. Instead of proving whether classes of
grammars can be learnt, the aim here is to provide practical learning
systems that automatically introduce structure in language. Example
fields where initial research has been done are syntactic parsing,
morphological analysis of words, and bilingual modeling (or machine
translation).
This workshop at EACL 2009 aims to
explore the stateoftheart in these topics. In particular, we aim at
bringing formal and empirical grammatical inference researchers closer together
with researchers in the field of computational linguistics.
