Creating a contemporary corpus of similes in Serbian by using natural language processing
Abstract
Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally. They are often used in everyday communication, but they are also a part of linguistic cultural heritage. In this paper we present a methodology for semi-automated collection of similes from the World Wide Web using text mining and machine learning techniques. We expanded an existing corpus by collecting 442 similes from the internet and adding them to the existing corpus collected by Vuk Stefanovic Karadzic that contained 333 similes. We, also, introduce crowdsourcing to the collection of figures of speech, which helped us to build corpus containing 787 unique similes.
Keywords
Cite
@article{arxiv.1811.10422,
title = {Creating a contemporary corpus of similes in Serbian by using natural language processing},
author = {Nikola Milosevic and Goran Nenadic},
journal= {arXiv preprint arXiv:1811.10422},
year = {2018}
}
Comments
15 pages, submitted to journal Slovo, however, later withdrawn to correct. Additional work was not done on it, so it is still waiting to be extended. Output of the system can be seen here: http://ezbirka.starisloveni.com/. arXiv admin note: text overlap with arXiv:1605.06319