Ansatte – Københavns Universitet

Videresend til en ven Resize Print Bookmark and Share

CST > Ansatte

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

Publikation: Forskning - peer reviewKonferencebidrag i proceedings

Dokumenter

  • ACLIJCNLP017

    Forlagets udgivne version, 193 KB, PDF-dokument

Bart Jongejan, Hercules Dalianis

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.
OriginalsprogEngelsk
TitelProceedings 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
Antal sider9
Vol/bind1
ForlagAssociation for Computational Linguistics
Publikationsdato2009
Sider145-153
ISBN (Trykt)978-1-932432-61-9
ISBN (Elektronisk)1-932432-61-2
StatusUdgivet - 2009
BegivenhedACL-IJCNLP 2009 - Singapore, Singapore
Varighed: 2 aug. 20097 aug. 2009
Konferencens nummer: 47

Konference

KonferenceACL-IJCNLP 2009
Nummer47
LandSingapore
BySingapore
Periode02/08/200907/08/2009

Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk


Ingen data tilgængelig

ID: 14093025