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Linguistic-Core Approach to Structured Translation and Analysis of Low-Resource Languages.

机译：结构化翻译的语言核心方法与低资源语言分析。

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摘要

The project goals were to conduct research on machine translation and textual analysis for low resource languages, focusing (but not exclusively) on African languages such as Kinyarwanda, Malagasy, and Swahili.

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作者
Carbonell, J.; Levin, L.; Smith, N.; Vogel, S.;
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年度 2017
页码 1-66
总页数 66
原文格式 PDF
正文语种 eng
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关键词
Machine translation; Computational linguistics; Natural language computing; Hidden markov models; Information processing; Artificial intelligence software; Algorithms; Data set; Monte carlo method; Bayesian networks; Low-resource languages;

机译：机器翻译;计算语言学;自然语言计算;隐马尔可夫模型;信息处理;人工智能软件;算法;数据集;蒙特卡罗方法;贝叶斯网络;低资源语言;

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Linguistic-Core Approach to Structured Translation and Analysis of Low-Resource Languages.

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