Abstract
Dictionaries only contain some of the information we need to know about a language. The growth of the Web, the maturation of linguistic processing tools, and the decline in price of memory storage allow us to envision descriptions of languages that are much larger than before. We can conceive of building a complete language model for a language using all the text that is found on the Web for this language. This article describes our current project to do just that. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Grefenstette, G. (2007). Conquering language: Using NLP on a massive scale to build high dimensional language models from the Web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4394 LNCS, pp. 35–49). Springer Verlag. https://doi.org/10.1007/978-3-540-70939-8_4
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