Estimated to exceed one billion, the number of those currently studying English as a foreign language is expected to continue growing. Various tools that draw on natural language processing have been developed to help students of English detect and correct writing errors. As one example, tools that correct spelling errors have achieved high accuracy and are now widely used throughout the world....

This article presents the idea of the PrepNet.Br, a semantic network consisting of synsets of prepositions to be built for Brazilian Portuguese along the lines of the French PrepNet [Saint-Dizier 2005]. This enterprise is of relevance to the linguistic description of the class of prepositions as well as to Natural Language Processing resource-building. The construction of this network also brin...

In this paper, we attempt to solve the problem of Prepositional Phrase (PP) attachments in English. The motivation for the work comes from NLP applications like Machine Translation, for which, getting the correct attachment of prepositions is very crucial. The idea is to correct the PPattachments for a sentence with the help of alignments from parallel data in another language. The novelty of o...

Concreteness-the psycholinguistic property of referring to a perceptible entity-enhances processing speed, comprehension, and memory. These represent selective filters for cognition likely to influence language evolution in competitive language environments. Taking a culturomics approach, we use multiple language corpora representing more than 350 billion words combined with concreteness norms ...

We extracted English expressions that appear in Japanese sentences in newspaper articles and on the Internet. The results obtained from the newspaper articles showed that the preposition “in” has been regularly used for more than ten years, and it is still regularly used now. The results obtained from the Internet articles showed there were many kinds of English expressions from various parts o...