Search Results for author:
Found 2 papers, 0 papers with code
Multi-Task Neural Model for Agglutinative Language Translation
Neural machine translation (NMT) has achieved impressive performance recently by using large-scale parallel corpora.
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation
Experimental results show that our morphologically motivated word segmentation method is better suitable for the NMT model, which achieves significant improvements on Turkish-English and Uyghur-Chinese machine translation tasks on account of reducing data sparseness and language complexity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
