让我们开始对短语“面向服务体系结构”本身进行一些分析。
Let's start by subjecting the phrase "Service Oriented Architecture" itself to some analysis.
根据计算术语学的原理，使用短语结构语法对词组型术语进行了自动句法分析。
Based on fundamental principle of computational terminology, the phrase-terms are syntactically parsed by the phrase structure grammar (PSG).
首先从结构上分析定中短语超常搭配的语法性质及其构成；
Firstly, the structure and grammatical nature of the attribute and headword phrase of the transnormal collocation are analyzed.
通过对查询短语的结构分析，发现查询短语通常由关键词和特征词构成。
By analysis of query phrase structure, the author finds that the query phrase is generally composed of both keyword and the feature word.
本文从句法结构这个层面分析了一些由介词短语引起的英语歧义句。
This paper, from the syntactic level, analyses some English ambiguous sentences, in which ambiguities are caused by the prepositional phrases.
三层语法分析将语言产生概括为由四个实体对象逐层输出的过程，四个实体分别是“有结构的事件、短语、单句、话语输出”。
Four objects from inner to outer are "Event with structure, Phrase, Single Sentence, Utterance" and "Three layers" refers to the three interfaces between them.
短语库是综合型语言知识库的有机组成部分，它的建设将为短语结构研究、句法分析和机器翻译提供强大的语言知识支撑。
The phrase database is a powerful language knowledge resource and will be some help to phrase structure study, Chinese parsing and Chinese-English machine translation.
语言中相联系的词和短语在一句话中未必紧接在一起，即长距离依赖结构的存在，给句法分析带来困难。
The existence of long-distance dependencies in language makes parsing difficult, that is to say, words and phrases that are related to one another are not necessarily adjacent in a sentence.
为此，论文分析了汉语文本的语法结构与韵律结构之间的关系，重点研究了韵律词和韵律短语的预测。
The thesis studied the relationship between prosodic structure and syntax structure, and focused on the methods of predicting the boundary of prosodic word and prosodic phrase.
为提高计算机对汉语信息的处理能力，更好地进行浅层句法分析，提出一种基于最大熵的汉语短语结构识别方法。
To improve the computer's processing capacity on Chinese information, and do better shallow parsing, this paper presents a recognition method of Chinese phrase structure based on Maximum Entropy(ME).
为提高计算机对汉语信息的处理能力，更好地进行浅层句法分析，提出一种基于最大熵的汉语短语结构识别方法。
To improve the computer's processing capacity on Chinese information, and do better shallow parsing, this paper presents a recognition method of Chinese phrase structure based on Maximum Entropy(ME).
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