@inproceedings{heeringa-etal-2022-pos,
title = "{P}o{S} Tagging, Lemmatization and Dependency Parsing of {W}est {F}risian",
author = "Heeringa, Wilbert and
Bouma, Gosse and
Hofman, Martha and
Brouwer, Jelle and
Drenth, Eduard and
Wijffels, Jan and
Van de Velde, Hans",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.512",
pages = "4789--4798",
abstract = "We present a lemmatizer/PoS tagger/dependency parser for West Frisian using a corpus of 44,714 words in 3,126 sentences that were annotated according to the guidelines of Universal Dependencies version 2. PoS tags were assigned to words by using a Dutch PoS tagger that was applied to a Dutch word-by-word translation, or to sentences of a Dutch parallel text. Best results were obtained when using word-by-word translations that were created by using the previous version of the Frisian translation program Oersetter. Morphologic and syntactic annotations were generated on the basis of a Dutch word-by-word translation as well. The performance of the lemmatizer/tagger/annotator when it was trained using default parameters was compared to the performance that was obtained when using the parameter values that were used for training the LassySmall UD 2.5 corpus. We study the effects of different hyperparameter settings on the accuracy of the annotation pipeline. The Frisian lemmatizer/PoS tagger/dependency parser is released as a web app and as a web service.",
}
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%0 Conference Proceedings
%T PoS Tagging, Lemmatization and Dependency Parsing of West Frisian
%A Heeringa, Wilbert
%A Bouma, Gosse
%A Hofman, Martha
%A Brouwer, Jelle
%A Drenth, Eduard
%A Wijffels, Jan
%A Van de Velde, Hans
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F heeringa-etal-2022-pos
%X We present a lemmatizer/PoS tagger/dependency parser for West Frisian using a corpus of 44,714 words in 3,126 sentences that were annotated according to the guidelines of Universal Dependencies version 2. PoS tags were assigned to words by using a Dutch PoS tagger that was applied to a Dutch word-by-word translation, or to sentences of a Dutch parallel text. Best results were obtained when using word-by-word translations that were created by using the previous version of the Frisian translation program Oersetter. Morphologic and syntactic annotations were generated on the basis of a Dutch word-by-word translation as well. The performance of the lemmatizer/tagger/annotator when it was trained using default parameters was compared to the performance that was obtained when using the parameter values that were used for training the LassySmall UD 2.5 corpus. We study the effects of different hyperparameter settings on the accuracy of the annotation pipeline. The Frisian lemmatizer/PoS tagger/dependency parser is released as a web app and as a web service.
%U https://aclanthology.org/2022.lrec-1.512
%P 4789-4798
Markdown (Informal)
[PoS Tagging, Lemmatization and Dependency Parsing of West Frisian](https://aclanthology.org/2022.lrec-1.512) (Heeringa et al., LREC 2022)
ACL
- Wilbert Heeringa, Gosse Bouma, Martha Hofman, Jelle Brouwer, Eduard Drenth, Jan Wijffels, and Hans Van de Velde. 2022. PoS Tagging, Lemmatization and Dependency Parsing of West Frisian. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4789–4798, Marseille, France. European Language Resources Association.