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Text Simplification

129 papers with code · 11 benchmarks · 20 datasets archive 2025-07-28

Natural Language Processing

Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.

Source: Multilingual Unsupervised Sentence Simplification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
TurkCorpus (25 rows) GPT-175B (6 SARI-selected examples, high/low) Metric-Based In-context Learning: A Case Study in Text Simplification code — Compare
Newsela (13 rows) CRF Alignment + Transformer Neural CRF Model for Sentence Alignment in Text Simplification code Syntology ran 0 of 1 samples · 1 unverified Compare
ASSET (12 rows) GPT-175B (15 SARI-selected examples, random ordering) Metric-Based In-context Learning: A Case Study in Text Simplification code — Compare
PWKP / WikiSmall (11 rows) NSELSTM-B Sentence Simplification with Memory-Augmented Neural Networks — — Compare
DEplain-APA-doc (3 rows) long-mBART (trained on DEplain-APA-doc) DEPLAIN: A German Parallel Corpus with Intralingual Translations... code — Compare
DEplain-web-doc (3 rows) long-mBART (trained on DEplain-APA-doc & DEplain-web-doc) DEPLAIN: A German Parallel Corpus with Intralingual Translations... code — Compare
EurekaAlert (3 rows) MedTSS-BART (Without Training) MedTSS: transforming abstractive summarization of scientific... code — Compare
DEplain-APA-sent (2 rows) mBART (trained on DEplain-APA-sent & DEplain-web-sent) DEPLAIN: A German Parallel Corpus with Intralingual Translations... code — Compare
DEplain-web-sent (2 rows) mBART (trained on DEplain-APA-sent & DEplain-web-sent) DEPLAIN: A German Parallel Corpus with Intralingual Translations... code — Compare
WikiLargeFR (2 rows) mT5 (fine-tuned on MULTI-SIM) Revisiting non-English Text Simplification: A Unified Multilingual... code — Compare
Wiki-Auto + Turk (1 row) BART (TextBox 2.0) TextBox 2.0: A Text Generation Library with Pre-trained Language Models code Syntology ran 1 of 1 samples · 0 unverified Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

20 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 129 papers with code (468 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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