Evaluating Tensorflow
نویسنده
چکیده
Easy-to-use software lets researchers build translation models without full control or knowledge of their inner workings. This constrains the diversity and effectiveness of modern machine translation systems. We work to alleviate this problems by thoroughly examining the efficacy of Tensorflow’s machine translation abstractions. We observe that our novel dataset is too noisy to be useful, and that Tensorflow’s abstractions do not work as well as advertised.
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تاریخ انتشار 2017