·Paper Publications
Tulu Tilahun Hailu, Junqing Yu, Tessfu Geteye Fantaye. Pre-trained Word Embedding based Parallel Text Augmentation Technique for Low-Resource NMT in Favor of Morphologically Rich Languages. CSAE 2019: 84:1-84:5
Release time:2021-08-25 Hits:
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Tessfu Geteye Fantaye, Junqing Yu, Tulu Tilahun Hailu. Syllable-based Speech Recognition for a Very Low-Resource Language, Chaha. Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2019), 415-420 (EI收录) (通讯作者)
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Next One:：
Tessfu Geteye Fantaye, Junqing Yu, Tulu Tilahun Hailu. Investigation of Various Hybrid Acoustic Modeling Units via a Multitask Learning and Deep Neural Network Technique for LVCSR of the Low-Resource Language, Amharic. IEEE Access, 2019, 7(1): 105593-105608 (SCI, EI收录) (通讯作者)