Automatic Amharic Part of Speech Tagging (AAPOST) : A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods

Birhanie, Worku Kelemework; Butt, Miriam

Automatic Amharic Part of Speech Tagging (AAPOST) : A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods

Dateien

Birhanie_2-13uilhq9epned7.pdfGröße: 258.54 KBDownloads: 116

Datum

2020

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

GABBIYE HABTU, Nigus, ed., Delele Worku AYELE, ed., Solomon Workneh FANTA, ed. and others. Advances of Science and Techology : 7th EAI International Conference, ICAST 2019, Proceedings. Cham: Springer, 2020, pp. 512-521. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST). 308. ISSN 1867-8211. eISSN 1867-822X. ISBN 978-3-030-43689-6. Available under: doi: 10.1007/978-3-030-43690-2_37

Zusammenfassung

Part of speech (POS) tagging is an initial task for many natural language applications. POS tagging for Amharic is in its infancy. This study contributes towards the improvement of Amharic POS tagging by experimenting using Deep Learning and Conditional Random Fields (CRF) approaches. Word embedding is integrated into the system to enhance performance. The model was applied to an Amharic news corpus tagged into 11 major part of speeches and achieved accuracies of 91.12% and 90% for the Bidirectional LSTM and CRF methods respectively. The result shows that the Bidirectional LSTM approach performance is better than the CRF method. More enhancement is expected in the future by increasing the size and diversity of Amharic corpus.

Fachgebiet (DDC)

400 Sprachwissenschaft, Linguistik

Schlagwörter

Amharic, POS, BI-LSTM, CRF

Konferenz

Advances of Science and Technology : 7th EAI International Conference, ICAST 2019, 2. Aug. 2019 - 4. Aug. 2019, Bahir Dar, Ethiopia

Zitieren

ISO 690

BIRHANIE, Worku Kelemework, Miriam BUTT, 2020. Automatic Amharic Part of Speech Tagging (AAPOST) : A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods. Advances of Science and Technology : 7th EAI International Conference, ICAST 2019. Bahir Dar, Ethiopia, 2. Aug. 2019 - 4. Aug. 2019. In: GABBIYE HABTU, Nigus, ed., Delele Worku AYELE, ed., Solomon Workneh FANTA, ed. and others. Advances of Science and Techology : 7th EAI International Conference, ICAST 2019, Proceedings. Cham: Springer, 2020, pp. 512-521. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST). 308. ISSN 1867-8211. eISSN 1867-822X. ISBN 978-3-030-43689-6. Available under: doi: 10.1007/978-3-030-43690-2_37

BibTex

@inproceedings{Birhanie2020Autom-59690,
  year={2020},
  doi={10.1007/978-3-030-43690-2_37},
  title={Automatic Amharic Part of Speech Tagging (AAPOST) : A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods},
  number={308},
  isbn={978-3-030-43689-6},
  issn={1867-8211},
  publisher={Springer},
  address={Cham},
  series={Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)},
  booktitle={Advances of Science and Techology : 7th EAI International Conference, ICAST 2019, Proceedings},
  pages={512--521},
  editor={Gabbiye Habtu, Nigus and Ayele, Delele Worku and Fanta, Solomon Workneh},
  author={Birhanie, Worku Kelemework and Butt, Miriam}
}

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