Cover Image

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agrawal, Sweta, Carpuat, Marine
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Keep It Private: Unsupervised Privatization of Online Text
by: Bao, Calvin, et al.
Published: (2024)

AskQE: Question Answering as Automatic Evaluation for Machine Translation
by: Ki, Dayeon, et al.
Published: (2025)

Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
by: Yang, Xinchen, et al.
Published: (2025)

Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation
by: Cripwell, Liam, et al.
Published: (2024)

Should We be Pedantic About Reasoning Errors in Machine Translation?
by: Bao, Calvin, et al.
Published: (2026)

Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
by: Ki, Dayeon, et al.
Published: (2024)

How Multilingual Are Large Language Models Fine-Tuned for Translation?
by: Richburg, Aquia, et al.
Published: (2024)

Automatic Input Rewriting Improves Translation with Large Language Models
by: Ki, Dayeon, et al.
Published: (2025)

Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation
by: Ki, Dayeon, et al.
Published: (2025)

How often are errors in natural language reasoning due to paraphrastic variability?
by: Srikanth, Neha, et al.
Published: (2024)

What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features
by: Ki, Dayeon, et al.
Published: (2026)

SpeechQE: Estimating the Quality of Direct Speech Translation
by: Han, HyoJung, et al.
Published: (2024)

Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison
by: Lee, Sumi, et al.
Published: (2024)

Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation
by: Zhao, Lingjun, et al.
Published: (2026)

Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs
by: Ravisankar, Kartik, et al.
Published: (2025)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
by: Fernandes, Patrick, et al.
Published: (2025)

MuTSE: A Human-in-the-Loop Multi-use Text Simplification Evaluator
by: Roscan, Rares-Alexandru, et al.
Published: (2026)

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
by: Baumler, Connor, et al.
Published: (2026)

Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use
by: Xiao, Yimin, et al.
Published: (2025)

SiTSE: Sinhala Text Simplification Dataset and Evaluation
by: Ranathunga, Surangika, et al.
Published: (2024)

Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations
by: Acquaye, Christabel, et al.
Published: (2026)

Multiple LLM Agents Debate for Equitable Cultural Alignment
by: Ki, Dayeon, et al.
Published: (2025)

LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load
by: Guidroz, Theo, et al.
Published: (2025)

Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
by: Asthana, Sumit, et al.
Published: (2024)

Text Simplification with Sentence Embeddings
by: Shardlow, Matthew
Published: (2025)

Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
by: Liu, Joseph, et al.
Published: (2025)

Is Context Helpful for Chat Translation Evaluation?
by: Agrawal, Sweta, et al.
Published: (2024)

Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work
by: Bao, Calvin, et al.
Published: (2025)

Text and Audio Simplification: Human vs. ChatGPT
by: Leroy, Gondy, et al.
Published: (2024)

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms
by: Ki, Dayeon, et al.
Published: (2026)

The SAMER Arabic Text Simplification Corpus
by: Alhafni, Bashar, et al.
Published: (2024)

Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation
by: Kreutzer, Julia, et al.
Published: (2025)

Evaluating Small Decoder-Only Language Models for Grammar Correction and Text Simplification
by: Lamelas, Anthony
Published: (2026)

Progressive Document-level Text Simplification via Large Language Models
by: Fang, Dengzhao, et al.
Published: (2025)

When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation
by: Xu, Wenda, et al.
Published: (2025)

UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification
by: Ganesan, Poojah, et al.
Published: (2025)

MCTS: A Multi-Reference Chinese Text Simplification Dataset
by: Chong, Ruining, et al.
Published: (2023)

GraphicBench: A Planning Benchmark for Graphic Design with Language Agents
by: Ki, Dayeon, et al.
Published: (2025)

Rethinking Cross-lingual Alignment: Balancing Transfer and Cultural Erasure in Multilingual LLMs
by: Han, HyoJung, et al.
Published: (2025)

New Evaluation Paradigm for Lexical Simplification
by: Qiang, Jipeng, et al.
Published: (2025)