terminology extraction

Survey on Bilingual Terminology Extraction from Comparable Corpora

基于可比语料库的双语术语抽取研究述评

Bilingual resources play a very special role in the field of computational linguistics research and provide strong supports to researches and applications such as machine translation, bilingual lexicography, terminology extraction and cross-language information retrieval.

双语资源在计算语言学研究领域具有十分特殊的地位，对机器翻译、双语词典编纂、术语抽取、跨语言信息检索等研究和应用提供了有力的支持。

Web-based ontology learning methods typically include terminology extraction, semantic interpretation, and create domain ontology, as well as Web-based spatial ontology learning includes those three aspects.

基于Web的本体学习方法通常包括术语抽取，语义解释，和创建领域本体。对于基于Web的空间本体学习也包括这三个方面。

Terminology Extraction Based on Statistical Word Frequency Distribution Variety

基于词频分布变化统计的术语抽取方法

Terminology extraction is one of the key technologies of constructing a large-scale ontology automatically or semi-automatically.

术语提取技术是大规模本体工程自动或半自动构建的关键技术之一。

However, terminology extraction is a tough job involving amounts of work load. Thus how to extract terminology quickly and precisely is the key problem.

而术语自动抽取是一项工作量极大的工程，如何快速并准确地抽取术语是一项急需解决的关键问题。

Terminology extraction is the core technique in building a corpora and it is also a basic research subject of Natural Language Processing.

术语提取的构建是自然语言处理领域中的一项重要课题。