English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Improving data handling and analysis in the study of rhyme patterns

List, J.-M. (2020). Improving data handling and analysis in the study of rhyme patterns. Cahiers de linguistique Asie orientale, 49(1), 43-57. doi:10.1163/19606028-bja10004.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
List, Johann-Mattis1, Author                 
Affiliations:
1CALC, Max Planck Institute for the Science of Human History, Max Planck Society, Kahlaische Str. 10, 07745 Jena, DE, ou_2385703              

Content

show
hide
Free keywords: rhyme patterns; Mandarin Chinese; rhyme analysis; data handling; motifs de rime; chinois mandarin; analise de rimes; traitement des données
 Abstract: By reviewing a recent quantitative study of rhyme patterns in Mandarin Chinese, this study shows how data handling and data analysis in the study of rhyme patterns can be improved. Suggestions for improvement include (a) a consistent annotation of rhyme data, which is exhaustive and facilitates data reuse, and (b) emphasizes the importance of automated approaches for exploratory data analysis, which can help to analyze rhyme data in an improved way, prior to applying statistical frameworks for hypothesis testing.

Details

show
hide
Language(s): eng - English
 Dates: 2020-06-052020-06
 Publication Status: Issued
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1163/19606028-bja10004
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : CALC
Grant ID : 715618
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

Source 1

show
hide
Title: Cahiers de linguistique Asie orientale
  Other : Cahiers de linguistique Asie orientale / Centre de Recherches Linguistiques sur l'Asie Orientale
  Abbreviation : CLAO
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Paris : Brill Academic Publishers
Pages: - Volume / Issue: 49 (1) Sequence Number: - Start / End Page: 43 - 57 Identifier: ISSN: 0153-3320