Year: 2014
Type: conference-paper
Abstract: We describe a method for expanding existing dictionaries in several languages by discovering previously non-existent links between translations.We call this method triangulation and we present and compare several variations of it.We assess precision manually, and recall by comparing the extracted dictionaries with independently obtained basic vocabulary sets.We featurize the translation candidates and train a maximum entropy classifier to identify correct translations in the noisy data.
Author: Judit Ács
Institution: Hungarian Academy of Sciences
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2250427585