<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="toral-way-2011-automatic">
    <titleInfo>
        <title>Automatic acquisition of named entities for rule-based machine translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Antonio</namePart>
        <namePart type="family">Toral</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Andy</namePart>
        <namePart type="family">Way</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2011-jan 20-21</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Second International Workshop on Free/Open-Source Rule-Based Machine Translation</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Felipe</namePart>
            <namePart type="family">Sánchez-Martinez</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Juan</namePart>
            <namePart type="given">Antonio</namePart>
            <namePart type="family">Pérez-Ortiz</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <place>
                <placeTerm type="text">Barcelona, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper proposes to enrich RBMT dictionaries with Named Entities (NEs) automatically acquired from Wikipedia. The method is applied to the Apertium English–Spanish system and its performance compared to that of Apertium with and without handtagged NEs. The system with automatic NEs outperforms the one without NEs, while results vary when compared to a system with handtagged NEs (results are comparable for Spanish→English but slightly worst for English→Spanish). Apart from that, adding automatic NEs contributes to decreasing the amount of unknown terms by more than 10%.</abstract>
    <identifier type="citekey">toral-way-2011-automatic</identifier>
    <location>
        <url>https://aclanthology.org/2011.freeopmt-1.7</url>
    </location>
    <part>
        <date>2011-jan 20-21</date>
        <extent unit="page">
            <start>37</start>
            <end>44</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Automatic acquisition of named entities for rule-based machine translation
%A Toral, Antonio
%A Way, Andy
%Y Sánchez-Martinez, Felipe
%Y Pérez-Ortiz, Juan Antonio
%S Proceedings of the Second International Workshop on Free/Open-Source Rule-Based Machine Translation
%D 2011
%8 jan 20 21
%C Barcelona, Spain
%F toral-way-2011-automatic
%X This paper proposes to enrich RBMT dictionaries with Named Entities (NEs) automatically acquired from Wikipedia. The method is applied to the Apertium English–Spanish system and its performance compared to that of Apertium with and without handtagged NEs. The system with automatic NEs outperforms the one without NEs, while results vary when compared to a system with handtagged NEs (results are comparable for Spanish→English but slightly worst for English→Spanish). Apart from that, adding automatic NEs contributes to decreasing the amount of unknown terms by more than 10%.
%U https://aclanthology.org/2011.freeopmt-1.7
%P 37-44

Markdown (Informal)

[Automatic acquisition of named entities for rule-based machine translation](https://aclanthology.org/2011.freeopmt-1.7) (Toral & Way, FreeOpMT 2011)

• Automatic acquisition of named entities for rule-based machine translation (Toral & Way, FreeOpMT 2011)

ACL

• Antonio Toral and Andy Way. 2011. Automatic acquisition of named entities for rule-based machine translation. In Proceedings of the Second International Workshop on Free/Open-Source Rule-Based Machine Translation, pages 37–44, Barcelona, Spain.