In word by word alignment, HATS create a table cell for each word of text.
在wordby word对齐方式下，HATS会为文本中的每个单词创建一个单元格。
This paper describes a bilingual chunk alignment scheme based on word alignment.
本文提出了一种基于词对齐的双语组块对齐的方法。
Designed and implemented a bilingual chunk extraction system which based on association value and word alignment, achieving a good experiment result.
设计并实现了基于关联度和词对齐的双语组块获取原型系统，取得了较好的实验效果。
Based on the current statistical machine translation, the size of corpus and the accuracy of word alignment mainly affect the performance of SMT systems.
在当前的基于统计的翻译方法中，双语语料库的规模、词对齐的准确率对于翻译系统的性能有很大的影响。
We incorporate the information of word alignment and the result of English chunk recognition into the process of bilingual chunk alignment and Chinese chunk recognition.
它利用已有的词对齐信息和英语组块识别结果，进行汉语组块的识别和双语组块的对齐。
With the application of word alignment in the word translation retrieval system, the word translation retrieval system "OASIS" is accomplished.
将高召回率的词对齐结果应用到词汇互译检索系统中去，实现了一个基于词对齐的“绿洲”词汇互译检索系统。
Political Documents; Corpus Translation Studies; Parallel Corpus; Sentence Alignment; Word Alignment.
政论；语料库翻译研究；平行语料库；句子层级对齐；词汇层级对齐。
Word alignment is a basic problem of Cross-lingual Natural Language Processing. Many NLP tasks based on bilingual corpus such as SBMT, EBMT, WSD, Automated Dictionary Extraction need to align words.
词语对齐是跨语言自然语言处理领域的一个基本问题，许多基于双语语料库的应用(如sbmt、EBMT、WSD、词典编纂)都需要词汇级别的对齐。
Word alignment is a basic problem of Cross-lingual Natural Language Processing. Many NLP tasks based on bilingual corpus such as SBMT, EBMT, WSD, Automated Dictionary Extraction need to align words.
词语对齐是跨语言自然语言处理领域的一个基本问题，许多基于双语语料库的应用(如sbmt、EBMT、WSD、词典编纂)都需要词汇级别的对齐。
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