BBN英语/伊拉克语语音翻译系统的最新改进

F. Choi, S. Tsakalidis, S. Saleem, C. Kao, R. Meermeier, K. Krstovski, C. Moran, Krishna Subramanian, R. Prasad, P. Natarajan
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引用次数: 9

摘要

我们报告了我们的英语/伊拉克阿拉伯语语音到语音翻译系统的最新改进。用户界面的改进包括一种新的用户确认并行方法,这使得确认在对话持续时间方面没有成本。自动语音识别的改进包括在特征转换和判别训练中结合最先进的技术。机器翻译的改进包括来自各种预处理技术的多种对齐的新组合,例如阿拉伯语分割和英语单词组合,目标语言模型的高阶N-grams,以及以语义类和词性标签的形式使用上下文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent improvements in BBN's English/Iraqi speech-to-speech translation system
We report on recent improvements in our English/Iraqi Arabic speech-to-speech translation system. User interface improvements include a novel parallel approach to user confirmation which makes confirmation cost-free in terms of dialog duration. Automatic speech recognition improvements include the incorporation of state-of-the-art techniques in feature transformation and discriminative training. Machine translation improvements include a novel combination of multiple alignments derived from various pre-processing techniques, such as Arabic segmentation and English word compounding, higher order N-grams for target language model, and use of context in form of semantic classes and part-of-speech tags.
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