Structural Semantic Correspondence For Example-Based Machine Translation

Structural Semantic Correspondence For Example-Based Machine Translation

The main key challenge in Machine Translation (MT) is to preserve the meaning from the original source sentence to the target translation. This remains the core problem in Machine Translation, which leads to a number of issues, such as: how to analyze the meaning of text, what information should be...

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書目詳細資料
主要作者:	Chua, Chong Chai
格式:	Thesis
出版:	2016
主題:	QA75.5-76.95 Electronic computers Computer science
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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