Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...
Abstract: We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output ...
The dataset is based on the UM-Corpus, which is a Large English-Chinese Parallel Corpus for Statistical Machine Translation. It provides two million English-Chinese aligned corpus categorized into ...
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