The Gaps in Language Sources and the Way to Fill Them

At present, there are a lot of language sources that can be used in natural language process (NLP), which include corpus, dictionaries, databases and so on. However, because of the large number of the language sources and the lack of the national standards, the marks, formats and other aspects are different in these language sources. This forms the gaps in language resources and causes inconvenience to NLP. In this passage, through the analysis of several popularly existing language sources, a method is being put forward to solve the problem of the gaps in language sources for better supporting the integration of language sources and processing of corpus.