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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. / Jongejan, Bart; Dalianis, Hercules.

Proceedings 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. Vol. 1 Association for Computational Linguistics, 2009. p. 145-153.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Jongejan, B & Dalianis, H 2009, Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. in Proceedings 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. vol. 1, Association for Computational Linguistics, pp. 145-153, Singapore, Singapore, 02/08/2009.

APA

Jongejan, B., & Dalianis, H. (2009). Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. In Proceedings 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 (Vol. 1, pp. 145-153). Association for Computational Linguistics.

Vancouver

Jongejan B, Dalianis H. Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. In Proceedings 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. Vol. 1. Association for Computational Linguistics. 2009. p. 145-153

Author

Jongejan, Bart ; Dalianis, Hercules. / Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. Proceedings 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. Vol. 1 Association for Computational Linguistics, 2009. pp. 145-153

Bibtex

@inproceedings{16b1ab50960c11de8bc9000ea68e967b,
title = "Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike",
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 andSwedish 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.",
keywords = "Faculty of Humanities, lemmatisering morfologi affiks, lemmatization morphology affix",
author = "Bart Jongejan and Hercules Dalianis",
year = "2009",
language = "English",
isbn = "978-1-932432-61-9",
volume = "1",
pages = "145--153",
booktitle = "Proceedings 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",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike

AU - Jongejan, Bart

AU - Dalianis, Hercules

PY - 2009

Y1 - 2009

N2 - 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 andSwedish 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.

AB - 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 andSwedish 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.

KW - Faculty of Humanities

KW - lemmatisering morfologi affiks

KW - lemmatization morphology affix

M3 - Article in proceedings

SN - 978-1-932432-61-9

VL - 1

SP - 145

EP - 153

BT - Proceedings 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

PB - Association for Computational Linguistics

ER -

ID: 14093025