This paper proposes a hybrid machine-translation system that combines neural machine
translation with well-developed rule-based machine translation to utilize the stability of the …

A widely used automatic translation approach, phrase-based statistical machine translation,
learns a probabilistic translation model composed of phrases from a large parallel corpus …

摘要针对基于编码/解码的中英文机器翻译收敛速度慢和准确率不高的问题,
提出了一种改进的机器翻译模型. 该模型采用长短时记忆循环神经网络实现词向量生成 …

Formality is an essential aspect of many languages, and choosing the correct level of
formality for specific situations is crucial to avoid misunderstandings. However, many …

In this paper, we study on the problem of statistical machine translation (SMT) for English
language, and the main innovation is that we introduce the SVM classifier to solve this …

In rule-based machine translation systems (RBMT), transfer rules perform transformation
ofsource language structure into its equivalent target language structure. The grammatical …

Statistics is changing from a primarily mathematics subject to a more conceptual academic
discipline because the complicated mathematic calculations are now being carried out by …

Many automatic machine translation systems available today use a hybrid of pure statistical
translation and rule-based grammatical translations. This is largely due to the shortcomings …