File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/abstr/84/p84-1092_abstr.xml
Size: 1,053 bytes
Last Modified: 2025-10-06 13:46:14
<?xml version="1.0" standalone="yes"?> <Paper uid="P84-1092"> <Title>From HOPE en I'ESPERANCE On the Role of Computational Neurolinguistics in Cross-Language Studies I</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> ABSTRACT </SectionTitle> <Paragraph position="0"> Computational neurolinguistics (CN) is an approach to computational linguistics which includes neurally-motivated constraints in the design of models of natural language processing.</Paragraph> <Paragraph position="1"> Furthermore, the knowledge representations included in such models must be supported with documented behaviorial ev~ce, normal and pathological. null This paper will discuss the contribution of CN models to ~the understanding of linguistic &quot;competence&quot; within recent research efforts to adapt HOPE (Gigley 1981; 1982a; 1982b; 1982c; 1983a), an implemented CN model for &quot;understanding&quot; English to I'ESPERANCE, one which &quot;understands&quot; French.</Paragraph> </Section> class="xml-element"></Paper>