查询词典 part of speech

On the lexieal level, the author discussed the problems of both the part of speech tagging and lexical knowledge acquisition.

在语言的词法层次上，本文研究了语料的词性标注和词法知识获取。

First, it adopts the limited amount analysis in a closed domain basing on the language resource provided by Modern Chinese Dictionary(the revised edition of 2002), and get the numerous data for the amplification, narrowing, uncertain items and the distribution of the part of speech.

首先，以《现代汉语词典》（2002年修订版）为语料来源，采用封闭域的定量分析方法，得出扩大、缩小、待定项以及词性分布等若干数据。

The approach can effectively reduce the complexity of calculation and improve the accuracy of classification,by using dependency and part-of-speech pair and custom polar dictionary.

实验表明，该方法相比其他方法取得了较好的分类效果，是一种可行且有效的对评论极性分类的方法。

The method is: describing the construction mode of disyllabic and polysyllabic words from the aspects of acceptation, part of speech, word order.

方法是：分别从语义、词性、语序等方面，对复音词的构词方式作静态描写。

English homograph has two types,one is polyphonic because of different part of speech,another is polyphonic because of different senses.

英语中的多音词分成两类，一是因词性不同而读音不同，一是因词义不同而读音不同。

Interjection in English is a small part of speech and its importance has been often ignored.

英语感叹词是英语中的一个小词类，其重要性往往被忽视。

Interjection in English is a small part of speech and its importance has been often ignored."Well" is a typical interjection and has many functions, especially in spoken English.

摘 要：英语感叹词是英语中的一个小词类，其重要性往往被忽视。well是其中较常用的一个，它的功能很多，尤其在口语中。

It was composed of three main modules, they were word segmentation module based on the maximum word-length matching algorithm, part of speech tagging module based on statistical method of training of relative frequency, and the syntax parsing module based on the improved chart analysis algorithm.

该系统实现了基于最大词长匹配算法的分词模块、基于统计方法的词性标注模块和基于改进的线图分析算法的句法分析模块。

A large scale manually annotated Chinese corpus and a number of well-conducted experiments were used to identify the following points of the hidden Markov model based part-of-speech tagging scheme for Chinese texts. The results are:① The Bigram model is better than the Trigram model in terms of the performance-cost ratio.② An annotated corpus of about 70000 words tokens would be sufficient for training the Bigram model, to produce system performance of about 93% tagging accuracy for ambiguous word tokens and 97% tagging accuracy for all word tokens in the texts.③ The Bigram model can be suited to different application domains quite well.

论文在经过人工分词和词类标注的大规模汉语语料库的支持下，通过一系列对比实验，对基于隐Markov模型的汉语词类自动标注算法进行了系统的考察，并得出结论：① Bigram模型的"性能价格比"较Trigram模型更令人满意；②以7万词次左右的标注语料库训练Bigram模型即已基本够用（此时，兼类词词类标注正确率及文本词类标注正确率分别可达93%和97%以上）；③ Bigram模型对不同领域具有一定的适应性。

The question's semantic comprehension model combines many natural language processing techniques, including Segmentation and Part-Of-Speech Tagging, the confirmation of the question type, the extarction of keywords and extending, the confirmation of the knowledge unit, Through these works, the intention of the user is holded, which greatly helped the last work of this system. The FAQ-based question similarity match model is implemented by sematic sentence similarity computation, which is improved by our system, this model can answer frequently-asked question fastly and concisely.The document warehouse-base automatic answer fetching model fistly deal with the document warehouse beforehand and construct inversed index, then use high efficient information retrieval model to search in the base and return some relevant documents, lastly, we use answer extraction technique to get the answer from these relevant documents and present it to users.

问句理解分析模块采用分词和词性标注、关键词提取及扩展、问句类型类别确定等自然语言理解技术，实现对用户提问意图的准确理解；FAQ 库问句匹配模块主要采用本系统改进的句子相似度计算方法来实现用户问句的解答，该模块主要用于实现用户常问问题的快速、准确解答；学科文档库答案自动获取模块在对学科文档库建立倒排索引的基础上，采用高效的信息检索模型对索引库进行检索，返回与用户查询表达式相似度较高的文档作为候选文档，针对从文档中直接获取答案难度较大这一问题，本系统采用答案抽取技术来实现问题的最终回答。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。