Text pattern matching provides a way for web services to retrieve html content without converting it to xml documents that must be bound to xml schema definitions 文本模式匹配为web服务提供了一种无需将html内容转换为必须绑定到xml架构定义的xml文档即可检索html内容的方法。
Ircit - ircit ( irc for the information terrorists ) is an advanced text - mode irc client . it features a c - like scripting language and a sophisticated gui system 是一个高级的文本模式的irc客户端软件。它的特性包括一个类似于c语言风格的脚本语言和一个功能强大的图形用户界面系统。
Actually , that s not entirely true : there are some cpan modules that can help here , but the scale and scope of autotag . pl did not seem to merit a text - mode ui framework 实际上,那并不完全正确:有一些cpan模块对此有所帮助,但是autotag . pl的规模和范围好像并不适合文本模式ui框架。
The . net framework provides an extensive set of routines that enable you to efficiently create , compare , and modify strings as well as rapidly parse large amounts of text and data to search for , remove , and replace text patterns . net framework提供了一组全面的例程,使您能够有效地创建、比较和修改字符串,以及快速地分析大量的文本和数据来搜索、移除和替换文本模式。
Then , a source description language , tdl , was designed . tdl combines the functionality of html structure pattern with text pattern , which means it is more suitable for dynamic web content , as it suits the frequent changing date sources 在此基础之上提出源描述语言tdl ,它结合文档结构和文本模式的描述,能很好地描述动态web页面中的数据模式,能更好地适应页面的频繁变化。
The . net framework sdk provides an extensive set of regular expression tools that enable you to efficiently create , compare , and modify strings as well as rapidly parse large amounts of text and data to search for , remove , and replace text patterns Microsoft . net framework sdk提供了大量的正则表达式工具,使您能够高效地创建、比较和修改字符串,以及迅速地分析大量文本和数据以搜索、移除和替换文本模式。
But those re - implementations have tended to come out of licensing and marketing concerns rather than conceptual and abstract issues about implementations . languages of particular academic interest seem to get re - implemented a lot especially functional , logical , or hyper - pure oop languages like smalltalk and eiffel 如果您看到过用诸如borland s turbowindows ( dos版)之类的库开发的应用程序,您就知道在文本模式控制台中,这些特性是多么吸引人。
After analyzing typical text information extraction inductive algorithms based on wrapper model , making use of the important features of the pages , such as annotations and text pattern features , an inductive algorithm is proposed using wrapper model for information extraction . the new algorithm can add the annotations to the state sets of rule ’ s finite state machine , so it can effectively reduce the time spending on search , and can also accurately locate the target information ; the learned text pattern can be used to filter out the un - interrelated extracted information 在分析了基于包装器模型的文本信息抽取典型归纳学习算法的基础上,利用页面的一些重要特性,例如注释和文本模式信息,提出了一种新的归纳学习算法,新算法将注释信息加入到抽取规则的有限状态机的状态序列中,从而能有效地降低算法搜索时间,并能对目标信息进行充分的定位;并且新算法能用学习到的文本模式信息对抽取结果进行必要的过滤。