学习过去分词的用法：用作状语。
基于词的方法是日语分词的主流方法。
Word-based approach is the mainstream on Japanese word segmentation.
实验表明此方法提高了分词的速度和准确性，达到了较好的分词效果。
The paper proves that this method has improved the speed and accuracy of words segmentation, and gets the better effect of words segmentation.
进行高级汉字文本分词的功能模块，可以支持多种类型文本，支持停用词过滤。
Chinese text segmentation for advanced function modules that can support multiple types of text, support for stop words filtering.
词典是中文自动分词的基础，分词词典机制的优劣直接影响到中文分词的速度和效率。
As a basic component of Chinese word segmentation system, the dictionary mechanism influences the speed and the efficiency of segmentation significantly.
分词词典机制是影响自动分词的重要因素，而查找速度是衡量一个词典好坏的重要标准。
The dictionary mechanism is an important factor affecting automatic word segmentation systems and the finding speed is an important criterion to determine the performance of a dictionary.
组合型歧义切分字段一直是汉语自动分词的难点，难点在于消歧依赖其上下文语境信息。
Combinational ambiguity is a challenging issue in Chinese word segmentation in that its disambiguation depends on the contextual information.
新词的存在使得汉语分词结果中出现过多的“散串”，在很大程度上影响了分词的准确率。
The unrecognized new words can result in too many sequences of single characters in the segmented sentence, which decreases the segmentation precision to a remarkable extent.
针对邮件文本分词效果较差的特点，提出采用一种改进的最大匹配法来进行中文分词的方法。
Aiming at the dissatisfied effect of Chinese word segmentation to Email texts, an improved Maximum Match Based Approach is presented.
单汉字标引法是在基于汉语分词的自动标引研究遇到不可克服的困难之后，而产生的一种新的自动标引方法。
The single Chinese character indexing is a new automatic indexing method produced as automatic indexing research of Chinese word segmenting meets some difficulties that can't be overcomed.
为扩展分词词典，提高分词的准确率，本文提出了一种基于信息熵的中文高频词抽取算法，其结果可以用来识别未登录词并扩充现有词典。
Targeting at extending the dictionary for word segmentation so as to improve its accuracy, this paper presents a high-frequency Chinese word extraction algorithm based on information entropy.
本文首先对中文文本分词进行了介绍，在常用分词算法的基础之上设计了一种双向匹配分词算法，有效的减少了歧义词对正确分词的影响。
In this paper, Chinese word segmentation is introduced first, and then algorithm named two-way matching term is designed, which effectively reduces the ambiguity of the Chinese words.
现代的英语教材中常常使用分词或分词短语作修饰语。
Participles and participial phrases are usually used as modifiers in modern English texts.
表示完成动作的分词。
规则动词的过去分词以-ed结尾。
写出动词的过去式和过去分词形式。
区别下列句子中的分词和动名词，并说明它们的作用。
Pick out the participles or gerunds in the following sentences and give their functions.
你混淆了现在分词和动名词的用法。
现代汉语文本自动分词是中文信息处理的重要基石，为此提供一个通用的分词接口是非常重要的。
Automatic word segmentation of modern Chinese text is the base of Chinese information processing. So a general purpose application interface for word segmentation is important.
分词器会考虑在哪将文本切分成词（典型的如空格）的实际规则。
The tokenizers take care of the actual rules for where to break the text up into words (typically whitespace).
多个新增的文本分析组件，包括分词、正则表达式过滤器和近似读音过滤器。
Many additional text analysis components including word splitting, regex and sounds-like filters.
根据以上分析，我们提出了一种基于记忆的处理策略，可有效改善实用型非受限汉语自动分词系统的精度。
As a consequence, we propose a memory-based strategy that is expected to improve the performance of practical Chinese word segmenters significantly.
经过分词处理的大型汉语语料库是进行语言学和计算语言学研究的重要资源。
The large scale word segmented corpus is an important resource for the study of both linguistics and computational linguistics.
论文的核心工作是设计并实现了一个基于多步处理策略的汉语自动分词系统。
The core work of the paper is designing and implementing a Chinese auto-segmentation system based on a multi-step processing strategy.
认知语言学与生成语言学以不同的标准划分词类，前者采用功能标准和语义标准，后者采用句法标准。
Cognitive linguistics and generative linguistics are opposed in ascertaining word classes, the former adopting functional and semantic standards and the latter, syntactic ones.
汉语自动分词是计算机中文信息处理中的难题，也是文献内容分析中必须解决的关键问题之一。
Chinese automatic segmentation is one of the most difficult problems in computer Chinese information disposal and the key problem that document content analysis must resolve.
分词是从动词中分出来的。
分词是从动词中分出来的。
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