Data-driven sentence simplification: Survey and benchmark

F Alva-Manchego, C Scarton, L Specia - Computational Linguistics, 2020 - direct.mit.edu
Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …

[PDF][PDF] A survey of automated text simplification

M Shardlow - … Journal of Advanced Computer Science and …, 2014 - pdfs.semanticscholar.org
Text simplification modifies syntax and lexicon to improve the understandability of language
for an end user. This survey identifies and classifies simplification research within the period …

[图书][B] A short guide to post-editing (Volume 16)

J Nitzke, S Hansen-Schirra - 2021 - library.oapen.org
Artificial intelligence is changing and will continue to change the world we live in. These
changes are also influencing the translation market. Machine translation (MT) systems …

OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification

S Vajjala, I Lučić - Proceedings of the thirteenth workshop on …, 2018 - aclanthology.org
This paper describes the collection and compilation of the OneStopEnglish corpus of texts
written at three reading levels, and demonstrates its usefulness for through two applications …

Revisiting non-English text simplification: A unified multilingual benchmark

MJ Ryan, T Naous, W Xu - arXiv preprint arXiv:2305.15678, 2023 - arxiv.org
Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …

Building a monolingual parallel corpus for text simplification using sentence similarity based on alignment between word embeddings

T Kajiwara, M Komachi - Proceedings of COLING 2016, the 26th …, 2016 - aclanthology.org
Methods for text simplification using the framework of statistical machine translation have
been extensively studied in recent years. However, building the monolingual parallel corpus …

Controlling text complexity in neural machine translation

S Agrawal, M Carpuat - arXiv preprint arXiv:1911.00835, 2019 - arxiv.org
This work introduces a machine translation task where the output is aimed at audiences of
different levels of target language proficiency. We collect a high quality dataset of news …

Klexikon: A German dataset for joint summarization and simplification

D Aumiller, M Gertz - arXiv preprint arXiv:2201.07198, 2022 - arxiv.org
Traditionally, Text Simplification is treated as a monolingual translation task where
sentences between source texts and their simplified counterparts are aligned for training …

Evaluation of automatic text simplification: Where are we now, where should we go from here

N Grabar, H Saggion - Traitement Automatique des Langues Naturelles, 2022 - hal.science
The purpose of automatic text simplification is to adapt the content of documents in order to
make them easier to understand by a given population or to improve the performance of …

A survey on text simplification

P Sikka, V Mago - arXiv preprint arXiv:2008.08612, 2020 - arxiv.org
Text Simplification (TS) aims to reduce the linguistic complexity of content to make it easier
to understand. Research in TS has been of keen interest, especially as approaches to TS …