ThamizhiMorph : A morphological parser for the Tamil language

Lade...
Vorschaubild
Dateien
Sarveswaran_2-qjakvmdmgv940.pdf
Sarveswaran_2-qjakvmdmgv940.pdfGrĆ¶ĆŸe: 3.72 MBDownloads: 384
Datum
2021
Autor:innen
Sarveswaran, Kengatharaiyer
Dias, Gihan
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsfƶrderung
Projekt
Open Access-Verƶffentlichung
Open Access Hybrid
Sammlungen
Core Facility der UniversitƤt Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Machine Translation. Springer. 2021, 35(1), pp. 37-70. ISSN 0922-6567. eISSN 1573-0573. Available under: doi: 10.1007/s10590-021-09261-5
Zusammenfassung

This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named ThamizhiMorph. Tamil is a low-resource language in terms of NLP processing tools and applications. In addition, most of the available tools are neither open nor extendable. A morphological analyser is a key resource for the storage and retrieval of morphophonological and morphosyntactic information, especially for morphologically rich languages, and is also useful for developing applications within Machine Translation. This paper describes how ThamizhiMorph is designed using a Finite-State Transducer (FST) and implemented using Foma. We discuss our design decisions based on the peculiarities of Tamil and its nominal and verbal paradigms. We specify a high-level meta-language to efficiently characterise the languageā€™s inflectional morphology. We evaluate ThamizhiMorph using text from a Tamil textbook and the Tamil Universal Dependency treebank version 2.5. The evaluation and error analysis attest a very high performance level, with the identified errors being mostly due to out-of-vocabulary items, which are easily fixable. In order to foster further development, we have made our scripts, the FST models, lexicons, Meta-Morphological rules, lists of generated verbs and nouns, and test data sets freely available for others to use and extend upon.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
400 Sprachwissenschaft, Linguistik
Schlagwƶrter
Morphological analyser, Morphological generator, Finite-State transducer, Tamil language, Low-resource language, Morphologically rich language
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690SARVESWARAN, Kengatharaiyer, Gihan DIAS, Miriam BUTT, 2021. ThamizhiMorph : A morphological parser for the Tamil language. In: Machine Translation. Springer. 2021, 35(1), pp. 37-70. ISSN 0922-6567. eISSN 1573-0573. Available under: doi: 10.1007/s10590-021-09261-5
BibTex
@article{Sarveswaran2021-04-23Thami-53771,
  year={2021},
  doi={10.1007/s10590-021-09261-5},
  title={ThamizhiMorph : A morphological parser for the Tamil language},
  number={1},
  volume={35},
  issn={0922-6567},
  journal={Machine Translation},
  pages={37--70},
  author={Sarveswaran, Kengatharaiyer and Dias, Gihan and Butt, Miriam}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/53771">
    <dc:contributor>Butt, Miriam</dc:contributor>
    <dc:creator>Sarveswaran, Kengatharaiyer</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-05-27T13:24:36Z</dcterms:available>
    <dcterms:issued>2021-04-23</dcterms:issued>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53771/1/Sarveswaran_2-qjakvmdmgv940.pdf"/>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:title>ThamizhiMorph : A morphological parser for the Tamil language</dcterms:title>
    <dc:contributor>Dias, Gihan</dc:contributor>
    <dc:creator>Butt, Miriam</dc:creator>
    <dc:creator>Dias, Gihan</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Sarveswaran, Kengatharaiyer</dc:contributor>
    <dcterms:abstract xml:lang="eng">This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named ThamizhiMorph. Tamil is a low-resource language in terms of NLP processing tools and applications. In addition, most of the available tools are neither open nor extendable. A morphological analyser is a key resource for the storage and retrieval of morphophonological and morphosyntactic information, especially for morphologically rich languages, and is also useful for developing applications within Machine Translation. This paper describes how ThamizhiMorph is designed using a Finite-State Transducer (FST) and implemented using Foma. We discuss our design decisions based on the peculiarities of Tamil and its nominal and verbal paradigms. We specify a high-level meta-language to efficiently characterise the languageā€™s inflectional morphology. We evaluate ThamizhiMorph using text from a Tamil textbook and the Tamil Universal Dependency treebank version 2.5. The evaluation and error analysis attest a very high performance level, with the identified errors being mostly due to out-of-vocabulary items, which are easily fixable. In order to foster further development, we have made our scripts, the FST models, lexicons, Meta-Morphological rules, lists of generated verbs and nouns, and test data sets freely available for others to use and extend upon.</dcterms:abstract>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53771"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53771/1/Sarveswaran_2-qjakvmdmgv940.pdf"/>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-05-27T13:24:36Z</dc:date>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalverƶffentl.
PrĆ¼fdatum der URL
PrĆ¼fungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
UniversitƤtsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen