Proceedings chapter
Open access

Simplification Strategies in French Spontaneous Speech

Published inProceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024, Editors Giorgio Maria Di Nunzio, Federica Vezzani, Liana Ermakova, Hosein Azarbonyad, and Jaap Kamps, p. 90-102
Presented at Torino, 21 May, 2024
PublisherTorino, Italia : ELRA
First online date2024-05-22

Automatic Text Simplification (ATS) aims at rewriting texts into simpler variants while preserving their original meaning, so they can be more easily understood by different audiences. While ATS has been widely used for written texts, its application to spoken language remains unexplored, even if it is not exempt from difficulty. This study aims to characterize the edit operations performed in order to simplify French transcripts for non-native speakers. To do so, we relied on a data sample randomly extracted from the Orféo-CEFC French spontaneous speech dataset. In the absence of guidelines to direct this process, we adopted an intuitive simplification approach, so as to investigate the crafted simplifications based on expert linguists’ criteria, and to compare them with those produced by a generative AI (namely, ChatGPT). The results, analyzed quantitatively and qualitatively, reveal that the most common edits are deletions, and affect oral production aspects, like restarts or hesitations. Consequently, candidate simplifications are typically register-standardized sentences that solely include the propositional content of the input. The study also examines the alignment between human- and machine-based simplifications, revealing a moderate level of agreement, and highlighting the subjective nature of the task. The findings contribute to understanding the intricacies of simplifying spontaneous spoken language. In addition, the provision of a small-scale parallel dataset derived from such expert simplifications, Propicto-Orféo-Simple, can facilitate the evaluation of speech simplification solutions.

  • Simplification
  • Spontaneous speech
  • French language
  • Expert annotation
  • ChatGPT
Citation (ISO format)
ORMAECHEA GRIJALBA, Lucía et al. Simplification Strategies in French Spontaneous Speech. In: Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024. Torino. Torino, Italia : ELRA, 2024. p. 90–102.
Main files (1)
Proceedings chapter (Published version)
  • PID : unige:177413

Technical informations

Creation05/27/2024 1:13:39 PM
First validation05/30/2024 7:04:00 AM
Update time05/30/2024 7:08:33 AM
Status update05/30/2024 7:08:33 AM
Last indexation05/30/2024 7:08:37 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack