Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike

Bart Jongejan, Hercules Dalianis

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    Abstract

    We propose a method to automatically train lemmatization rules that handle prefix, infix and suffix changes to generate the lemma from the full form of a word. We explain how the lemmatization rules are created and how the lemmatizer works. We trained this lemmatizer on Danish, Dutch, English, German, Greek, Icelandic, Norwegian, Polish, Slovene and
    Swedish full form-lemma pairs respectively.
    We obtained significant improvements of 24 percent for Polish, 2.3 percent for Dutch, 1.5 percent for English, 1.2 percent for German and 1.0 percent for Swedish compared to plain suffix lemmatization using a suffix-only lemmatizer.
    Icelandic deteriorated with 1.9 percent. We also made an observation regarding the number of produced lemmatization rules as a function of the number of training pairs.
    Original languageEnglish
    Title of host publicationProceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP
    Number of pages9
    Volume1
    PublisherAssociation for Computational Linguistics
    Publication date2009
    Pages145-153
    ISBN (Print)978-1-932432-61-9
    ISBN (Electronic)1-932432-61-2
    Publication statusPublished - 2009
    EventACL-IJCNLP 2009 - Singapore, Singapore
    Duration: 2 Aug 20097 Aug 2009
    Conference number: 47

    Conference

    ConferenceACL-IJCNLP 2009
    Number47
    Country/TerritorySingapore
    CitySingapore
    Period02/08/200907/08/2009

    Keywords

    • Faculty of Humanities
    • lemmatization morphology affix

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