File Information

File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/abstr/06/p06-1056_abstr.xml

Size: 998 bytes

Last Modified: 2025-10-06 13:45:01

<?xml version="1.0" standalone="yes"?>
<Paper uid="P06-1056">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Semi-Supervised Learning of Partial Cognates using Bilingual Bootstrapping</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Partial cognates are pairs of words in two languages that have the same meaning in some, but not all contexts. Detecting the actual meaning of a partial cognate in context can be useful for Machine Translation tools and for Computer-Assisted Language Learning tools. In this paper we propose a supervised and a semi-supervised method to disambiguate partial cognates between two languages: French and English. The methods use only automatically-labeled data; therefore they can be applied for other pairs of languages as well. We also show that our methods perform well when using corpora from different domains.</Paragraph>
  </Section>
class="xml-element"></Paper>
Download Original XML