Improving Morpheme Segmentation Using BERT Embeddings

Author:

Sorokin AlexeyORCID

Publisher

Springer International Publishing

Reference30 articles.

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3. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171–4186 (2019)

4. Eskander, R., Callejas, F., Nichols, E., Klavans, J.L., Muresan, S.: Morphagram, evaluation and framework for unsupervised morphological segmentation. In: Proceedings of The 12th Language Resources and Evaluation Conference, pp. 7112–7122 (2020)

5. Grönroos, S.A., Virpioja, S., Kurimo, M.: North sámi morphological segmentation with low-resource semi-supervised sequence labeling. In: Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages, pp. 15–26 (2019)

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