With the development of computer and the internet , the application of bilingual ( multilingual ) parallel corpus has become an important issue in the field of natural language processing 随着计算机和互联网的发展,在自然语言处理领域,以双语(或多语)平行语料库为基础的应用日益增多。
An object - oriented chinese statistical language modeling toolkit is presented . the original trigram model is improved to have more capabilities of long dependency 论文对原有trigram的hmm统计模型进行改进，使其具有更多的长距依存能力，促进统计语言模型在中文自然语言处理领域的应用。
At first , the paper introduces the progress of computer natural language processing , especially the chinese language processing , and the methods used for proper nouns recognition 文章首先介绍了计算机自然语言处理,特别是汉语的计算机处理的现状以及目前汉语分词中使用的专有名词识别方法。
With the progress of natural language applications , it is more and more important to improve the validity of chinese word - split and sentence - split , which is the basic of natural language process 随着自然语言应用系统的进步,对自然语言处理的基础部分,自动分词分句的准确率的要求也越来越高。
This is because , except for the use of some punctuation marks in modern texts , written chinese does not include properly seqmented words , as is the case with european languages 孙茂松和左正平的文章主要针对汉语自然语言处理中的交集型切分歧义问题。歧义问题是汉语处理中受到普遍关注的难点之一。
As a kind of critical technology in natural language processing , entity detection and tracking are also important in the field of information extraction , automatic question answering and machine translation 实体检测与跟踪是自然语言处理的关键技术，也是信息抽取、自动问答、机器翻译等技术的重要基础。
In natrual language processing , the bilingual parallel corpora become more and more important . the research on the bilingual parallel corpora is focused on the construction , alignment and tagging 在自然语言处理领域，双语平行语料库的重要性日益加强，其研究工作主要是集中在构建、对齐和标注等方面。
Research on tagging of part - of - speech subcategory in modem chinese is the foundation for die research on nlp ( natural language . processing ) based on corpus , also a new project for further research 现代汉语词性细分类标注研究是当前基于语料库的自然语言处理研究的基础工作，这也是面向深层研究所遇到的新课题。
