We are upgrading the Individual Word Language Models for C++Builder to Visual C Sharp dot Net.
It is shown that the enormous improvement in the size of disk storage space in recent years can be used to build individual word-domain statistical language models, one for each significant word of a language that contributes to the context of the text. Each of these word-domain language models is a precise domain model for the relevant significant word; when combined appropriately, they provide a highly specific domain language model for the language following a cache, even a short cache. Our individual word probability and frequency models have been constructed and tested in the Vietnamese and English languages.















