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Evaluating stages of development in second language French: A machine-learning approach

Redaktör:
  • Joakim Nivre
  • Heiki-Jaan Kalep
  • Kadri Muischnek
  • Mare Koit
Publiceringsår: 2007
Språk: Engelska
Publikation/Tidskrift/Serie: NODALIDA 2007 PROCEEDINGS
Dokumenttyp: Konferensbidrag
Förlag: University of Tartu

Sammanfattning

This paper describes a system to define and

evaluate development stages in second language

French. The identification of such

stages can be formulated as determining the

frequency of some lexical and grammatical

features in the learners’ production and how

they vary over time. The problems in this

procedure are threefold: identify the relevant

features, decide on cutoff points for the

stages, and evaluate the degree of success of

the model.

The system addresses these three problems.

It consists of a morphosyntactic analyzer

called Direkt Profil and a machine-learning

module connected to it. We first describe the

usefulness and rationale behind its development.

We then present the corpus we used

to develop the analyzer. Finally, we present

new and substantially improved results on

training machine-learning classifiers compared

to previous experiments (Granfeldt et

al., 2006). We also introduce a method to

select attributes in order to identify the most

relevant grammatical features.

Nyckelord

  • Computer Science
  • Languages and Literature

Övriga

NODALIDA 2007
Published
  • Direkt Profil
  • Fransk språkvetenskap-lup-obsolete
  • ISBN: 978-9985-4-0514-7

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