为什么不做到多才多艺呢?SGNMT解码器在机器翻译中的应用

Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, B. Byrne
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引用次数: 10

摘要

SGNMT是一个面向机器翻译的译码平台,它可以将各种现代翻译神经模型与各种约束和符号模型相匹配。在这篇文章中,我们描述了三个使用案例中SGNMT正在发挥积极作用:(1)教学SGNMT是用于课程和学生在硕士论文在机器学习中,语音和语言技术在剑桥大学,(2)研究剑桥MT组的大部分研究工作是基于SGNMT,和(3)技术转让作为我们展示SGNMT是如何帮助转让研究成果从实验室到工业,如。成为SDL plc的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
SGNMT is a decoding platform for machine translation which allows paring various modern neural models of translation with different kinds of constraints and symbolic models. In this paper, we describe three use cases in which SGNMT is currently playing an active role: (1) teaching as SGNMT is being used for course work and student theses in the MPhil in Machine Learning, Speech and Language Technology at the University of Cambridge, (2) research as most of the research work of the Cambridge MT group is based on SGNMT, and (3) technology transfer as we show how SGNMT is helping to transfer research findings from the laboratory to the industry, eg. into a product of SDL plc.
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