The natural language is easy to use and has a flat learning curve. 自然语言容易使用,便于掌握。
Nearly everyone who learns English goes through this phase; its just a natural part of the language learning process. 几乎每个学习英语的人都会经历这个阶段;这是在学习语言的过程中很自然的一个部分。
Mimicry and imitation are core elements of the natural process of language learning. 重复和模仿是语言学习过程中的核心要素。
For example, you may write about the use of machine learning in natural language processing or review sample complexity of machine learning algorithms. 例如,你可以写关于在自然语言处理中使用机器学习的报告或机器学习中各演算法的抽样复杂度的比较整理。
Clark, Alexander. "Unsupervised induction of stochastic context-free grammars using distributional clustering." Conference on Natural Language Learning, 2001. ( PDF) 采用分布聚类的随机上下文无关文法的无监督归纳学习〉。《自然语言学习会议,2001年》。(PDF)
Automated text categorization involves many theories and techniques, such as Statistics, Information Retrieval, Data Mining, Natural Language Understanding, Pattern Recognition and Machine Learning etc. so it is a task of great synthetic and challenging. 对文本进行自动分类,涉及到许多领域的理论和技术,主要有概率统计、信息检索、数据挖掘、自然语言理解、模式识别和机器学习等,所以非常具有综合性和挑战性。
Knowledge Acquisition by Natural Language Learning 自然语言的学习与知识获取问题
From the perspective of customers, this paper proposes Web News Hunter, the Intelligent Agent system, which uses the natural language processing, machine learning and web searching techniques to mine the news automatically according to the users 'interests. 本论文从用户的角度出发,提出了WebNewsHunter智能系统,它集自然语言处理,机器学习和网络搜索技术于一身,根据用户的喜好自动搜索新闻。
Four major applications of artificial intelligence& Knowledge Acquisition 、 Knowledge Representation 、 Natural Language Understanding and Machine Learning are combined closely in the system to achieve these goals. 该系统紧密结合了人工智能在信息处理的四大应用:知识获取、知识表示、自然语言理解和机器学习。
Natural language processing acquires language knowledge by increasingly relying on automatic machine learning; 自然语言处理中越来越多地使用机器自动学习的方法来获取语言知识;
In China, most English learners lack the natural environment of the language, so English learning is mainly set in classrooms, and classroom interaction is of vital importance. In classroom teaching, teachers 'questioning is one of the most often used teaching techniques. 住中国,由于大部分学习者缺乏学习英语的自然环境,英语学习主要以课堂学习为主,英语课堂提问是英语课堂教学师生双边活动最基本也是最主要的形式之一。
Because the technology of natural language processing and statistical learning is becoming more and more solid, it is possible to realize shallow semantic parsing. 由于现有自然语言处理技术以及统计学习技术的成熟,使浅层语义分析得以实现。
As known to all, there is a lack of natural English language environments for learners to learn English in China. Hence, English classes are generally regarded as the primary sources for English learning. 由于英语在我国是外语而不是二语,英语学习缺乏自然的语言环境,因此,课堂被认为是大多数学生学习英语的主要场所。
This paper presents an approach to the automatic enrichment of lexicon in a natural language understanding system to simulate man's word learning ability. 提出一种方法,用以实现自然语言理解系统的自动词汇扩展,以模拟人的词汇学习能力。
The key technology in information extraction include: natural language process, naming entity recognition, document analysis and induction, knowledge attainment etc. the process of information extraction include learning and application process. 信息抽取系统中的关键技术主要包括:自然语言处理、命名实体识别、篇章分析及推理和知识获取。信息抽取过程包括学习过程和应用过程。
Its aim is to provide learners with a natural context for language use by emphasizing on learning by doing. 任务型教学法通过强调在做中学而为读者提供了一个自然的语言使用环境。
Language learning environment is a quite important factor for studying outcome because any form of study occurs in a definite environment which also affects study. In China, most English learners are surrounded by their native language environment, and they lack a natural target language learning environment. 环境是影响语言学习结果的一个重要因素,任何形式的学习都在特定的环境中发生在中国,大多数学生的英语学习被母语环境包围,缺乏天然的英语学习环境。
One of the basic parts of Natural Language Processing and Machine learning is Chinese word segmentation. Chinese Language Processing deals with Chinese in three levels: Words 、 Phrases and Sentences. 中文分词是机器学习,自然语言处理中的一个基础部分,中文分词处理要对输入的中文语句在字、词、句三个层面上进行处理。
Many researchers in the Second Language Acquisition field argue that grammar teaching does not work in language learning and language should be acquired through natural exposure to authentic language environment rather than through formal learning. 许多二语习得研究者认为语法教学不起作用,语言是应该通过自然地接触真实的语言环境而习得,而不是通过正式学习学得。
Early studies are based on knowledge-based engineering methods, and feature items are determined by artificial rules; with me development of statistical machine learning theory and statistical natural language processing technology, machine learning methods are applied to determine the feature items, and have achieved good results. 早期研究是基于知识的,通过人工建立分类规则确定特征项,随着统计机器学习理论和统计自然语言处理技术的发展,使用机器学习的方法确定特征项得到应用,并取得了良好的效果。
Product review mining, involving several fields including natural language processing, information retrieval, information extraction, data mining and machine learning, has been one of research hotspots from academia. 产品评论挖掘涉及自然语言处理、信息检索、信息抽取、数据挖掘、机器学习等多个领域,已经成为学术界研究的的热点之一。
This paper makes use of the natural language processing, machine learning, statistical machine translation technology, in view of the network Chinese review information, extract the evaluation target and evaluation word collocation relations. 本文借助自然语言处理、机器学习、统计机器翻译等技术,针对中文网络评论信息,抽取出其中的评价对象和评价词的搭配关系。