公开(公告)号：US20160117316A1

公开(公告)日：2016-04-28

申请号：US14921925

申请日：2015-10-23

Applicant: Google Inc.

Inventor： Quoc V. Le ,  Minh-Thang Luong ,  Ilya Sutskever ,  Oriol Vinyals ,  Wojciech Zaremba

IPC: G06F17/28 ,  G10L15/02 ,  G10L15/16 ,  G06F7/02 ,  G06F7/10

CPC classification number: G06F17/2881 ,  G06F7/023 ,  G06F7/10 ,  G06F17/2735 ,  G06F17/2818 ,  G06F17/2827 ,  G06N3/0445 ,  G06N3/0454 ,  G10L15/02 ,  G10L15/16

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural translation systems with rare word processing. One of the methods is a method training a neural network translation system to track the source in source sentences of unknown words in target sentences, in a source language and a target language, respectively and includes deriving alignment data from a parallel corpus, the alignment data identifying, in each pair of source and target language sentences in the parallel corpus, aligned source and target words; annotating the sentences in the parallel corpus according to the alignment data and a rare word model to generate a training dataset of paired source and target language sentences; and training a neural network translation model on the training dataset.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于具有罕见文字处理的神经翻译系统。 其中一种方法是训练神经网络翻译系统，以分别在源语言和目标语言中跟踪目标语句中的未知单词的源语句中的源，并且包括从并行语料库导出对齐数据，对齐数据 在平行语料库中的每对源和目标语言句子中识别对齐的源词和目标词; 根据对齐数据和平行语料库中的句子注释罕见词模型，以生成配对的源语言和目标语言句子的训练数据集; 并在训练数据集上训练神经网络翻译模型。