logo
ResearchBunny Logo
Detecting directional forces in the evolution of grammar: A case study of the English perfect with intransitives across EEBO, COHA, and Google Books

Linguistics and Languages

Detecting directional forces in the evolution of grammar: A case study of the English perfect with intransitives across EEBO, COHA, and Google Books

S. Okuda, M. Hosaka, et al.

This research by Shimpei Okuda, Michio Hosaka, and Kazutoshi Sasahara delves into the evolutionary forces driving the English perfect tense's transition from 'be+PP' to 'have+PP' constructions in intransitive verbs. Using extensive corpora analysis and a neural network model, the study reveals the dominance of natural selection in this grammatical shift.

00:00
00:00
~3 min • Beginner • English
Abstract
Languages have diverse characteristics that have emerged through evolution. In modern English grammar, the perfect is formed with have+PP (past participle), but in earlier English, the be+PP form also existed. It is widely recognised that the auxiliary verb BE was replaced by HAVE throughout evolution, except for some special cases. However, whether this evolution was caused by natural selection or random drift is still unclear. Here we examined directional forces in the evolution of the English perfect with intransitive by combining three large-scale data sources: Early English Books Online (EEBO), Corpus of Historical American English (COHA), and Google Books. We found that most intransitive verbs exhibited an apparent transition from be+PP to have+PP, most of which were classified as 'selection' by a deep neural network-based model. These results suggest that the English perfect could have evolved through natural selection rather than random drift, and provide insights into the cultural evolution of grammar.
Publisher
Humanities and Social Sciences Communications
Published On
Jun 05, 2023
Authors
Shimpei Okuda, Michio Hosaka, Kazutoshi Sasahara
Tags
English perfect tense
grammatical shift
be+PP
have+PP
corpora analysis
natural selection
neural network
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny