File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/concl/03/p03-2040_concl.xml
Size: 1,270 bytes
Last Modified: 2025-10-06 13:53:36
<?xml version="1.0" standalone="yes"?> <Paper uid="P03-2040"> <Title>TotalRecall: A Bilingual Concordance for Computer Assisted Translation and Language Learning</Title> <Section position="6" start_page="0" end_page="0" type="concl"> <SectionTitle> 5 Conclusion </SectionTitle> <Paragraph position="0"> In this paper, we describe a bilingual concordance designed as a computer assisted translation and language learning tool. Currently, TotalRecall uses Sinorama Magazine corpus as the translation memory and will be continuously updated as new issues of the magazine becomes available. We have already put a beta version on line and experimented with a focus group of second language learners. Novel features of TotalRecall include highlighting of query and corresponding translations, clustering and ranking of search results according translation and frequency.</Paragraph> <Paragraph position="1"> TotalRecall enable the non-native speaker who is looking for a way to express an idea in English or Chinese. We are also adding on the basic functions to include a log of user activities, which will record the users' query behavior and their background. We could then analyze the data and find useful information for future research.</Paragraph> </Section> class="xml-element"></Paper>