Most structures are aligned to their natural alignment.
大部分的结构都会自然对齐。
Given the nature of SOA drivers (reuse, agility, business alignment, etc) and enablers (technology components, standards), it is natural to expect changes to production services over time.
由于SOA驱动因素(重用、敏捷、企业协调一致等)和促进因素(技术组件和标准)的性质，随着时间的推移生产服务很可能不断变化。
Bilingual Corpus alignment of natural language processing is an important research topic.
双语语料库自动对齐是自然语言处理的一个重要研究课题。
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。
应用推荐