Volltextdatei(en) vorhanden Open Access https://creativecommons.org/licenses/by/4.0/
DC ElementWertSprache
dc.contributor.advisorMenzel, Wolfgang-
dc.contributor.authorDuma, Melania-
dc.date.accessioned2023-07-28T14:17:01Z-
dc.date.available2023-07-28T14:17:01Z-
dc.date.issued2022-
dc.identifier.urihttps://ediss.sub.uni-hamburg.de/handle/ediss/10343-
dc.description.abstractMachine Translation (MT) is a research area in Natural Language Processing (NLP) which deals with the translation of input text from one source language to a target language. In order to estimate accurately the quality of MT systems, evaluation methods are required, beside the costly manual evaluation approaches. This thesis presents automatic methods for both reference-free and reference-based MT evaluation, which are based on tree and sequence kernel functions.en
dc.language.isoende_DE
dc.publisherStaats- und Universitätsbibliothek Hamburg Carl von Ossietzkyde
dc.rightshttp://purl.org/coar/access_right/c_abf2de_DE
dc.subjectMachine Translationen
dc.subjectEvaluationen
dc.subjectKernel Functionsen
dc.subject.ddc004: Informatikde_DE
dc.titleKernel-based Evaluation of Machine Translationen
dc.typedoctoralThesisen
dcterms.dateAccepted2022-04-13-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/de_DE
dc.rights.rshttp://rightsstatements.org/vocab/InC/1.0/-
dc.subject.gndTranslation <Linguistik>de_DE
dc.type.casraiDissertation-
dc.type.dinidoctoralThesis-
dc.type.driverdoctoralThesis-
dc.type.statusinfo:eu-repo/semantics/publishedVersionde_DE
dc.type.thesisdoctoralThesisde_DE
tuhh.type.opusDissertation-
thesis.grantor.departmentInformatikde_DE
thesis.grantor.placeHamburg-
thesis.grantor.universityOrInstitutionUniversität Hamburgde_DE
dcterms.DCMITypeText-
dc.identifier.urnurn:nbn:de:gbv:18-ediss-110335-
datacite.relation.IsDerivedFromhttps://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perlde_DE
datacite.relation.IsDerivedFromhttps://code.google.com/archive/p/mate-tools/downloadsde_DE
datacite.relation.IsDerivedFromhttps://gitlab.com/nats/jwcdgde_DE
datacite.relation.IsDerivedFromhttp://www.kelp-ml.org/de_DE
datacite.relation.IsDerivedFromhttp://hdl.handle.net/11372/LRT-1646de_DE
datacite.relation.IsDerivedFromhttps://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-1646de_DE
datacite.relation.IsDerivedFromhttps://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-1974de_DE
datacite.relation.IsDerivedFromhttp://hdl.handle.net/11372/LRT-1974de_DE
datacite.relation.IsDerivedFromhttp://hdl.handle.net/11372/LRT-2619de_DE
datacite.relation.IsDerivedFromhttps://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2619de_DE
datacite.relation.IsDerivedFromhttps://www.statmt.org/wmt16/metrics-task/de_DE
datacite.relation.IsDerivedFromhttps://www.statmt.org/wmt17/metrics-task.htmlde_DE
datacite.relation.IsDerivedFromhttps://translate.google.com/toolkitde_DE
item.advisorGNDMenzel, Wolfgang-
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
item.creatorOrcidDuma, Melania-
item.creatorGNDDuma, Melania-
Enthalten in den Sammlungen:Elektronische Dissertationen und Habilitationen
Dateien zu dieser Ressource:
Datei Beschreibung Prüfsumme GrößeFormat  
Thesis_published_Melania_Duma.pdf2869fbd4363d38368ce3e1b43d3b22dc5.65 MBAdobe PDFÖffnen/Anzeigen
Zur Kurzanzeige

Info

Seitenansichten

139
Letzte Woche
Letzten Monat
geprüft am 02.07.2024

Download(s)

86
Letzte Woche
Letzten Monat
geprüft am 02.07.2024
Werkzeuge

Google ScholarTM

Prüfe