Evaluating stages of development in second language French: A machine-learning approach
(2007) NODALIDA 2007- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/539348
- author
- Granfeldt, Jonas LU and Nugues, Pierre LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- NODALIDA 2007 PROCEEDINGS
- editor
- Nivre, Joakim ; Kalep, Heiki-Jaan ; Muischnek, Kadri and Koit, Mare
- publisher
- University of Tartu
- conference name
- NODALIDA 2007
- conference dates
- 0001-01-02
- ISBN
- 978-9985-4-0514-7
- project
- Direct Profile: A program for analysing developmental sequences and developmental stages in written learner French
- language
- English
- LU publication?
- yes
- id
- 72fc99e3-5b69-45eb-a3ba-4fc732e66291 (old id 539348)
- date added to LUP
- 2016-04-04 11:46:43
- date last changed
- 2021-05-06 16:08:26
@inproceedings{72fc99e3-5b69-45eb-a3ba-4fc732e66291, abstract = {{This paper describes a system to define and<br/><br> evaluate development stages in second language<br/><br> French. The identification of such<br/><br> stages can be formulated as determining the<br/><br> frequency of some lexical and grammatical<br/><br> features in the learners’ production and how<br/><br> they vary over time. The problems in this<br/><br> procedure are threefold: identify the relevant<br/><br> features, decide on cutoff points for the<br/><br> stages, and evaluate the degree of success of<br/><br> the model.<br/><br> The system addresses these three problems.<br/><br> It consists of a morphosyntactic analyzer<br/><br> called Direkt Profil and a machine-learning<br/><br> module connected to it. We first describe the<br/><br> usefulness and rationale behind its development.<br/><br> We then present the corpus we used<br/><br> to develop the analyzer. Finally, we present<br/><br> new and substantially improved results on<br/><br> training machine-learning classifiers compared<br/><br> to previous experiments (Granfeldt et<br/><br> al., 2006). We also introduce a method to<br/><br> select attributes in order to identify the most<br/><br> relevant grammatical features.}}, author = {{Granfeldt, Jonas and Nugues, Pierre}}, booktitle = {{NODALIDA 2007 PROCEEDINGS}}, editor = {{Nivre, Joakim and Kalep, Heiki-Jaan and Muischnek, Kadri and Koit, Mare}}, isbn = {{978-9985-4-0514-7}}, language = {{eng}}, publisher = {{University of Tartu}}, title = {{Evaluating stages of development in second language French: A machine-learning approach}}, url = {{https://lup.lub.lu.se/search/files/5852929/625979.pdf}}, year = {{2007}}, }