<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="norre-etal-2021-extending">
    <titleInfo>
        <title>Extending a Text-to-Pictograph System to French and to Arasaac</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Magali</namePart>
        <namePart type="family">Norré</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vincent</namePart>
        <namePart type="family">Vandeghinste</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Pierrette</namePart>
        <namePart type="family">Bouillon</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Thomas</namePart>
        <namePart type="family">François</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2021-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd.</publisher>
            <place>
                <placeTerm type="text">Held Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We present an adaptation of the Text-to-Picto system, initially designed for Dutch, and extended to English and Spanish. The original system, aimed at people with an intellectual disability, automatically translates text into pictographs (Sclera and Beta). We extend it to French and add a large set of Arasaac pictographs linked to WordNet 3.1. To carry out this adaptation, we automatically link the pictographs and their metadata to synsets of two French WordNets and leverage this information to translate words into pictographs. We automatically and manually evaluate our system with different corpora corresponding to different use cases, including one for medical communication between doctors and patients. The system is also compared to similar systems in other languages.</abstract>
    <identifier type="citekey">norre-etal-2021-extending</identifier>
    <location>
        <url>https://aclanthology.org/2021.ranlp-1.118</url>
    </location>
    <part>
        <date>2021-09</date>
        <extent unit="page">
            <start>1050</start>
            <end>1059</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Extending a Text-to-Pictograph System to French and to Arasaac
%A Norré, Magali
%A Vandeghinste, Vincent
%A Bouillon, Pierrette
%A François, Thomas
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F norre-etal-2021-extending
%X We present an adaptation of the Text-to-Picto system, initially designed for Dutch, and extended to English and Spanish. The original system, aimed at people with an intellectual disability, automatically translates text into pictographs (Sclera and Beta). We extend it to French and add a large set of Arasaac pictographs linked to WordNet 3.1. To carry out this adaptation, we automatically link the pictographs and their metadata to synsets of two French WordNets and leverage this information to translate words into pictographs. We automatically and manually evaluate our system with different corpora corresponding to different use cases, including one for medical communication between doctors and patients. The system is also compared to similar systems in other languages.
%U https://aclanthology.org/2021.ranlp-1.118
%P 1050-1059

Markdown (Informal)

[Extending a Text-to-Pictograph System to French and to Arasaac](https://aclanthology.org/2021.ranlp-1.118) (Norré et al., RANLP 2021)

• Extending a Text-to-Pictograph System to French and to Arasaac (Norré et al., RANLP 2021)

ACL

• Magali Norré, Vincent Vandeghinste, Pierrette Bouillon, and Thomas François. 2021. Extending a Text-to-Pictograph System to French and to Arasaac. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 1050–1059, Held Online. INCOMA Ltd..