Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification

Author:

La Morgia MassimoORCID,Mei AlessandroORCID,Nemmi Eugenio NerioORCID,Sabatini Luca,Sassi FrancescoORCID

Publisher

Springer Nature Switzerland

Reference39 articles.

1. Aharoni, R., Koppel, M., Goldberg, Y.: Automatic detection of machine translated text and translation quality estimation. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Vol. 2: Short Papers), pp. 289–295. Association for Computational Linguistics, Baltimore (2014). https://doi.org/10.3115/v1/P14-2048, https://aclanthology.org/P14-2048

2. Arase, Y., Zhou, M.: Machine translation detection from monolingual web-text. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Vol. 1: Long Papers), pp. 1597–1607. Association for Computational Linguistics, Sofia (2013). https://aclanthology.org/P13-1157

3. Battiti, R., Masulli, F.: Bfgs optimization for faster and automated supervised learning. In: International Neural Network Conference, pp. 757–760. Springer, Dordrecht (1990). https://doi.org/10.1007/978-94-009-0643-3_68

4. Bhardwaj, S., Alfonso Hermelo, D., Langlais, P., Bernier-Colborne, G., Goutte, C., Simard, M.: Human or neural translation? In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 6553–6564. International Committee on Computational Linguistics, Barcelona (2020). https://doi.org/10.18653/v1/2020.coling-main.576, https://aclanthology.org/2020.coling-main.576

5. Bizzoni, Y., Juzek, T.S., España-Bonet, C., Dutta Chowdhury, K., van Genabith, J., Teich, E.: How human is machine translationese? comparing human and machine translations of text and speech. In: Proceedings of the 17th International Conference on Spoken Language Translation, pp. 280–290. Association for Computational Linguistics (2020). https://doi.org/10.18653/v1/2020.iwslt-1.34, https://aclanthology.org/2020.iwslt-1.34

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