Romanian Syllabification Using Deep Neural Networks

Author:

Corlatescu Dragos-Georgian,Ruseti Stefan,Dascalu Mihai

Publisher

Springer Singapore

Reference23 articles.

1. Vintila-Radulescu, I. (ed.): DOOM2. Dicționarul ortografic, ortoepic și morfologic al limbii române. Univers Enciclopedic, Bucharest, Romania (2005)

2. Mañas, J.A.: Word division in Spanish. Commun. ACM 30(7), 612–616 (1987)

3. Kodydek, G.: A word analysis system for German hyphenation, full text search, and spell checking, with regard to the latest reform of German orthography. In: International Workshop on Text, Speech and Dialogue, pp. 39–44. Springer, Brno, Czech Republic (2000)

4. Bouma, G.: Finite state methods for hyphenation. Nat. Lang. Eng. 9(1), 5–20 (2003)

5. Brill, E.: Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging. Comput. Linguist. 21(4), 543–565 (1995)

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1. Knowledge-Guided Reinforcement Learning for Low-Resource Unsupervised Syllabification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Word Syllabification for Indonesian Language using Transformer;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

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