ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.05056
  4. Cited By
What do complexity measures measure? Correlating and validating
  corpus-based measures of morphological complexity

What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

Linguistics Vanguard (LV), 2022
11 April 2022
cCaugri cColtekin
Taraka Rama
ArXiv (abs)PDFHTML

Papers citing "What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity"

6 / 6 papers shown
Confounding Factors in Relating Model Performance to Morphology
Confounding Factors in Relating Model Performance to Morphology
Wessel Poelman
Thomas Bauwens
Miryam de Lhoneux
166
6
0
03 Nov 2025
The Model's Language Matters: A Comparative Privacy Analysis of LLMs
The Model's Language Matters: A Comparative Privacy Analysis of LLMs
Abhishek K. Mishra
Antoine Boutet
Lucas Magnana
PILM
312
0
0
09 Oct 2025
Annotating and Inferring Compositional Structures in Numeral Systems Across Languages
Annotating and Inferring Compositional Structures in Numeral Systems Across Languages
Arne Rubehn
Christoph Rzymski
Luca Ciucci
Kellen Parker van Dam
Alžběta Kučerová
Katja Bocklage
David Snee
Abishek Stephen
Johann-Mattis List
254
2
0
03 Mar 2025
Killkan: The Automatic Speech Recognition Dataset for Kichwa with
  Morphosyntactic Information
Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information
Chihiro Taguchi
Jefferson Saransig
Dayana Velásquez
David Chiang
107
2
0
23 Apr 2024
A Morphology-Based Investigation of Positional Encodings
A Morphology-Based Investigation of Positional Encodings
Poulami Ghosh
Shikhar Vashishth
Mary Dabre
Pushpak Bhattacharyya
262
7
0
06 Apr 2024
DivEMT: Neural Machine Translation Post-Editing Effort Across
  Typologically Diverse Languages
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Gabriele Sarti
Arianna Bisazza
Ana Guerberof Arenas
Antonio Toral
282
12
0
24 May 2022
1
Page 1 of 1