Abstract
The web serves a paradoxical role in language learning. Providing a fertile ground for neologisms and redefinitions, the web incubates a growing translation gap between one’s native tongue and his or her target foreign language. However, the web can also be used to bridge languages even as they change, because it contains a vast and ever-expanding set of human-translated web pages. Search engines that mine high-quality human translations can unlock the web’s pedagogical potential, and form the basis for next-generation language learning tools. So, it has become essential to develop crawlers in such a way that it can help in local language optimization with topic-search. Based on study of many research papers motivated to do research in Gujarati Search Engine. Moreover, proposed a new model for it.
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