<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="haddad-yaseen-2003-towards">
    <titleInfo>
        <title>Towards semantic composition of Arabic: a λ-DRT based approach</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Bassam</namePart>
        <namePart type="family">Haddad</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mustafa</namePart>
        <namePart type="family">Yaseen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2003-sep 23-27</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Workshop on Machine Translation for Semitic languages: issues and approaches</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">New Orleans, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper addresses issues related to employing logic-based semantic composition as a meaning representation for Arabic within a unification-based syntax-semantics interface. Since semantic representation has to be compositional on the level of semantic processing λ-calculus based on Discourse Representation Theory can be utilized as a helpful and practical technique for the semantic construction of ARABIC in Arabic understanding systems. As ARABIC computational linguistics is also short of feature-based compositional syntax-semantics interfaces we hope that this approach might be a further motivation to redirect research to modern semantic construction techniques for developing an adequate model of semantic processing for Arabic and even no existing formal theory is capable to provide a complete and consistent account of all phenomena involved in Arabic semantic processing.</abstract>
    <identifier type="citekey">haddad-yaseen-2003-towards</identifier>
    <location>
        <url>https://aclanthology.org/2003.mtsummit-semit.8</url>
    </location>
    <part>
        <date>2003-sep 23-27</date>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Towards semantic composition of Arabic: a λ-DRT based approach
%A Haddad, Bassam
%A Yaseen, Mustafa
%S Workshop on Machine Translation for Semitic languages: issues and approaches
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F haddad-yaseen-2003-towards
%X This paper addresses issues related to employing logic-based semantic composition as a meaning representation for Arabic within a unification-based syntax-semantics interface. Since semantic representation has to be compositional on the level of semantic processing λ-calculus based on Discourse Representation Theory can be utilized as a helpful and practical technique for the semantic construction of ARABIC in Arabic understanding systems. As ARABIC computational linguistics is also short of feature-based compositional syntax-semantics interfaces we hope that this approach might be a further motivation to redirect research to modern semantic construction techniques for developing an adequate model of semantic processing for Arabic and even no existing formal theory is capable to provide a complete and consistent account of all phenomena involved in Arabic semantic processing.
%U https://aclanthology.org/2003.mtsummit-semit.8

Markdown (Informal)

[Towards semantic composition of Arabic: a λ-DRT based approach](https://aclanthology.org/2003.mtsummit-semit.8) (Haddad & Yaseen, MTSummit 2003)

• Towards semantic composition of Arabic: a λ-DRT based approach (Haddad & Yaseen, MTSummit 2003)

ACL

• Bassam Haddad and Mustafa Yaseen. 2003. Towards semantic composition of Arabic: a λ-DRT based approach. In Workshop on Machine Translation for Semitic languages: issues and approaches, New Orleans, USA.