@inproceedings{harrigan-arppe-2021-leveraging,
title = "Leveraging {E}nglish Word Embeddings for Semi-Automatic Semantic Classification in N{\^e}hiyaw{\^e}win ({P}lains {C}ree)",
author = "Harrigan, Atticus and
Arppe, Antti",
editor = "Mager, Manuel and
Oncevay, Arturo and
Rios, Annette and
Ruiz, Ivan Vladimir Meza and
Palmer, Alexis and
Neubig, Graham and
Kann, Katharina",
booktitle = "Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.americasnlp-1.12",
doi = "10.18653/v1/2021.americasnlp-1.12",
pages = "113--121",
abstract = "This paper details a semi-automatic method of word clustering for the Algonquian language, N{\^e}hiyaw{\^e}win (Plains Cree). Although this method worked well, particularly for nouns, it required some amount of manual postprocessing. The main benefit of this approach over implementing an existing classification ontology is that this method approaches the language from an endogenous point of view, while performing classification quicker than in a fully manual context.",
}
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<title>Leveraging English Word Embeddings for Semi-Automatic Semantic Classification in Nêhiyawêwin (Plains Cree)</title>
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<abstract>This paper details a semi-automatic method of word clustering for the Algonquian language, Nêhiyawêwin (Plains Cree). Although this method worked well, particularly for nouns, it required some amount of manual postprocessing. The main benefit of this approach over implementing an existing classification ontology is that this method approaches the language from an endogenous point of view, while performing classification quicker than in a fully manual context.</abstract>
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%0 Conference Proceedings
%T Leveraging English Word Embeddings for Semi-Automatic Semantic Classification in Nêhiyawêwin (Plains Cree)
%A Harrigan, Atticus
%A Arppe, Antti
%Y Mager, Manuel
%Y Oncevay, Arturo
%Y Rios, Annette
%Y Ruiz, Ivan Vladimir Meza
%Y Palmer, Alexis
%Y Neubig, Graham
%Y Kann, Katharina
%S Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F harrigan-arppe-2021-leveraging
%X This paper details a semi-automatic method of word clustering for the Algonquian language, Nêhiyawêwin (Plains Cree). Although this method worked well, particularly for nouns, it required some amount of manual postprocessing. The main benefit of this approach over implementing an existing classification ontology is that this method approaches the language from an endogenous point of view, while performing classification quicker than in a fully manual context.
%R 10.18653/v1/2021.americasnlp-1.12
%U https://aclanthology.org/2021.americasnlp-1.12
%U https://doi.org/10.18653/v1/2021.americasnlp-1.12
%P 113-121
Markdown (Informal)
[Leveraging English Word Embeddings for Semi-Automatic Semantic Classification in Nêhiyawêwin (Plains Cree)](https://aclanthology.org/2021.americasnlp-1.12) (Harrigan & Arppe, AmericasNLP 2021)
ACL