کتاب دانلود کتب لاتین علوم مهندسیرایانه، اینترنت و فناوری اطلاعات
آموزش مشترک ترجمه ماشین عصبی
آموزش مشترک ترجمه ماشین عصبی

Joint Training for Neural Machine Translation
نویسنده: Yong Cheng
سال انتشار: 2019
تعداد صفحات: 90
زبان فایل: English
فرمت فایل: pdf
حجم فایل: 2MB

دانلود رایگان

Publisher : Springer

ISBN-10 : 9813297492, 9813297476

ISBN-13 : 978-9813297494, 978-9813297470

ASIN : B07X4W59ZN

This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.