Semi-supervised Approach to Romanian Noun Declension

Author:

Octavia-Maria Şulea

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. Dinu, L.P., Ionescu, E., Niculae, V., Şulea, O.M. Can alternations be learned? A machine learning approach to verb alternations. In: Advances in Natural Language Processing 2011. 2011, p. 539-544.

2. Learning how to conjugate the romanian verb Rules for regular and partially irregular verbs;Dinu;European Chapter of the Association for Computational Linguistics,2012

3. Unsupervised learning of morphology;Hammarstrom;Computational Linguistics,2011

4. Dinu, L.P., Niculae, V., S, ulea, O. The romanian neuter examined through A two-gender n-gram classification system. In: Calzolari, N., Choukri, K., Declerck, T., Dogan, M.U., Maegaard, B., Mariani, J., et al., editors. Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC-2012), Istanbul, Turkey, May 23-25, 2012. European Language Resources Association (ELRA). ISBN 978-2-9517408-7-7; 2012, p. 907-910. URL: http://www.lrec-conf.org/proceedings/lrec2012/summaries/651.html.

5. Lombard, A. Le verbe roumain. Etude morphologique; vol. 1. Lund, C.W. K. Gleerup; 1955. In French.

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2. MorphoGen: Full Inflection Generation Using Recurrent Neural Networks;Computational Linguistics and Intelligent Text Processing;2023

3. Unsupervised Inflection Generation Using Neural Language Modelling;Advances in Computational Intelligence;2019

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