Towards Sense to Sense Linking across DBnary Languages

Gilles Sérasset

Towards Sense to Sense Linking across DBnary Languages

Correct Metadata for

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

Since 2012, the DBnary project extracts lexical information from different Wiktionary language editions (26 editions in 2025) and makes it available to the community as queryable RDF data (modeled using ontolex-lemon ontology). This dataset contains more than 12M translations linking languages at the level of Lexical Entries. This paper presents an effort to automatically link the DBnary languages at the Lexical Sense level. For this we explore different ways to compute cross-lingual semantic similarity, using multilingual language models.

Anthology ID:: 2025.ldk-1.32
Volume:: Proceedings of the 5th Conference on Language, Data and Knowledge
Month:: September
Year:: 2025
Address:: Naples, Italy
Editors:: Mehwish Alam, Andon Tchechmedjiev, Jorge Gracia, Dagmar Gromann, Maria Pia di Buono, Johanna Monti, Maxim Ionov
Venue:: LDK
SIG:
Publisher:: Unior Press
Note:
Pages:: 318–327
Language:
URL:: https://aclanthology.org/2025.ldk-1.32/
DOI:
Bibkey:
Cite (ACL):: Gilles Sérasset. 2025. Towards Sense to Sense Linking across DBnary Languages. In Proceedings of the 5th Conference on Language, Data and Knowledge, pages 318–327, Naples, Italy. Unior Press.
Cite (Informal):: Towards Sense to Sense Linking across DBnary Languages (Sérasset, LDK 2025)
Copy Citation:
PDF:: https://aclanthology.org/2025.ldk-1.32.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{serasset-2025-towards,
    title = "Towards Sense to Sense Linking across {DB}nary Languages",
    author = "S{\'e}rasset, Gilles",
    editor = "Alam, Mehwish  and
      Tchechmedjiev, Andon  and
      Gracia, Jorge  and
      Gromann, Dagmar  and
      di Buono, Maria Pia  and
      Monti, Johanna  and
      Ionov, Maxim",
    booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge",
    month = sep,
    year = "2025",
    address = "Naples, Italy",
    publisher = "Unior Press",
    url = "https://aclanthology.org/2025.ldk-1.32/",
    pages = "318--327",
    ISBN = "978-88-6719-333-2",
    abstract = "Since 2012, the DBnary project extracts lexical information from different Wiktionary language editions (26 editions in 2025) and makes it available to the community as queryable RDF data (modeled using ontolex-lemon ontology). This dataset contains more than 12M translations linking languages at the level of Lexical Entries. This paper presents an effort to automatically link the DBnary languages at the Lexical Sense level. For this we explore different ways to compute cross-lingual semantic similarity, using multilingual language models."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="serasset-2025-towards">
    <titleInfo>
        <title>Towards Sense to Sense Linking across DBnary Languages</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gilles</namePart>
        <namePart type="family">Sérasset</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 5th Conference on Language, Data and Knowledge</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Mehwish</namePart>
            <namePart type="family">Alam</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Andon</namePart>
            <namePart type="family">Tchechmedjiev</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jorge</namePart>
            <namePart type="family">Gracia</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Dagmar</namePart>
            <namePart type="family">Gromann</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Maria</namePart>
            <namePart type="given">Pia</namePart>
            <namePart type="family">di Buono</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Johanna</namePart>
            <namePart type="family">Monti</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Maxim</namePart>
            <namePart type="family">Ionov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Unior Press</publisher>
            <place>
                <placeTerm type="text">Naples, Italy</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">978-88-6719-333-2</identifier>
    </relatedItem>
    <abstract>Since 2012, the DBnary project extracts lexical information from different Wiktionary language editions (26 editions in 2025) and makes it available to the community as queryable RDF data (modeled using ontolex-lemon ontology). This dataset contains more than 12M translations linking languages at the level of Lexical Entries. This paper presents an effort to automatically link the DBnary languages at the Lexical Sense level. For this we explore different ways to compute cross-lingual semantic similarity, using multilingual language models.</abstract>
    <identifier type="citekey">serasset-2025-towards</identifier>
    <location>
        <url>https://aclanthology.org/2025.ldk-1.32/</url>
    </location>
    <part>
        <date>2025-09</date>
        <extent unit="page">
            <start>318</start>
            <end>327</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Towards Sense to Sense Linking across DBnary Languages
%A Sérasset, Gilles
%Y Alam, Mehwish
%Y Tchechmedjiev, Andon
%Y Gracia, Jorge
%Y Gromann, Dagmar
%Y di Buono, Maria Pia
%Y Monti, Johanna
%Y Ionov, Maxim
%S Proceedings of the 5th Conference on Language, Data and Knowledge
%D 2025
%8 September
%I Unior Press
%C Naples, Italy
%@ 978-88-6719-333-2
%F serasset-2025-towards
%X Since 2012, the DBnary project extracts lexical information from different Wiktionary language editions (26 editions in 2025) and makes it available to the community as queryable RDF data (modeled using ontolex-lemon ontology). This dataset contains more than 12M translations linking languages at the level of Lexical Entries. This paper presents an effort to automatically link the DBnary languages at the Lexical Sense level. For this we explore different ways to compute cross-lingual semantic similarity, using multilingual language models.
%U https://aclanthology.org/2025.ldk-1.32/
%P 318-327

Download as File

Markdown (Informal)

[Towards Sense to Sense Linking across DBnary Languages](https://aclanthology.org/2025.ldk-1.32/) (Sérasset, LDK 2025)

Towards Sense to Sense Linking across DBnary Languages (Sérasset, LDK 2025)

ACL

Gilles Sérasset. 2025. Towards Sense to Sense Linking across DBnary Languages. In Proceedings of the 5th Conference on Language, Data and Knowledge, pages 318–327, Naples, Italy. Unior Press.