A second language acquisition model using example generalization and concept categories

Authors:
Ari Rappoport;Vera Sheinman
Affiliations:
The Hebrew University, Jerusalem, Israel;The Hebrew University, Jerusalem, Israel
Venue:
PMHLA '05 Proceedings of the Workshop on Psychocomputational Models of Human Language Acquisition
Year:
2005

Citing 6
Cited 0

Learning Translation Templates from Bilingual Translation Examples

Applied Intelligence
Review Article: Example-based Machine Translation

Machine Translation
Active Learning for Natural Language Parsing and Information Extraction

ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Automated generalization of translation examples

COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
The unsupervised learning of natural language structure

The unsupervised learning of natural language structure
An Introduction to Language

An Introduction to Language

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a computational model of acquiring a second language from example sentences. Our learning algorithms build a construction grammar language model, and generalize using form-based patterns and the learner's conceptual system. We use a unique professional language learning corpus, and show that substantial reliable learning can be achieved even though the corpus is very small. The model is applied to assisting the authoring of Japanese language learning corpora.