Review paper
The natural selection of words: Finding the features of fitness
Abstract
We introduce a dataset for studying the evolution of words, constructed from WordNet and the Google Books Ngram Corpus. The dataset tracks the evolution of 4,000 synonym sets (synsets), containing 9,000 English words, from 1800 AD to 2000 AD. We present a supervised learning algorithm that is able to predict the future leader of a synset: the word in the synset that will have the highest frequency. The algorithm uses features based on a word's...
Paper Details
Title
The natural selection of words: Finding the features of fitness
Published Date
Jan 28, 2019
Journal
Volume
14
Issue
1
Pages
e0211512 - e0211512
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