Construction of corpus in artificial intelligence age

Abstract

As a kind of revolutionary technology, artificial intelligence marked an explosive transformation in many fields of study. Nowadays, much of the translation work used to be done by human has been undertaken by machines. The construction of corpus is a crucial step leading to successful machine translation. The paper aims to exploring the mode of corpus construction from the perspective of information mining, information retrieval and information processing. The retrieval system uses web crawlers to collect network information and automatic tagging technology to index the collected information, then applies corresponding language processing techniques to achieve correspondence between two languages and form an index database. In the age of artificial intelligence, machines can keep a track of many users' searches, queries, so as to record, extract as well as to feed back on different translations to build a new corpus. In this way, machine translation is improving in its scope and accuracy in translation with the goal to take up the tedious work of human translation as well as to increase the speed and reduce the cost of it.