Construction of Scholarly n-Gram from Huge Text Data

Abstract

The ultimate goal of this research is to provide ngram data that is specialized for scholarly utilization. To this end, this paper outlines the construction of a scholarly n-gram through the processing of large text documents. Many researchers, especially non-native English language speakers, find it difficult to construct sentences and paragraphs with appropriate and disambiguated words. One of the methods that can assist them is the provision of n-gram data. A representative n-gram known as Web 1T 5-Gram Version 1, which was constructed by processing virtually all documents retrieved using Google, already exists. However, this data contain unfocused word recommendations, therefore, they are not suitable. Consequently, we are constructing a scholarly ngram. In this paper, we demonstrate the efficiency of n-gram using Web 1T unigram and introduce and discuss the specifics of our research plan related to scholarly n-gram.