Signals 4 · free daily AI digest

Document-Level Text Simplification in Estonian Using Large Language Models

Paper recorded by Signals 4 on 2026-10-07 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CL · 自然语言处理 · first seen 2026-10-08

Abstract

Document-level text simplification involves transformations that go beyond sentence-internal edits, addressing discourse coherence, anaphora resolution, and cross-paragraph consistency. Despite advances in sentence-level simplification for high-resource languages, document-level simplification in morphologically rich, low-resource languages such as Estonian remains largely unexplored. This study p

Read on arXiv →

#298 most recent of 660 cs.CL papers we have recorded · ↑ newer: CoTrace: Data Recipes for Training Terminal Agents with Harness-Model · ↓ older: Input-Blind Controls Produce Substantial Oracle Headroom for Layer Pro
Cite this page: Document-Level Text Simplification in Estonian Using Large Language Models: the #298 most recent of 660 cs.CL papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/document-level-text-simplification-in-estonian-using-large-language-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions