Challenge: Existing corpus for Multi-sentence Compression (MSC) tasks is limited to English . a dataset is available for MSC tasks in the French language .
Approach: They propose a new corpus for Multi-Sentence Compression task in Portuguese and Spanish.
Outcome: The proposed corpus is compared with two state-of-the-art systems in Portuguese and Spanish.

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Challenge: Multi-sentence compression aims to generate a grammatical but reduced compression from multiple input sentences while retaining key information.
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Sentence Compression for Arbitrary Languages via Multilingual Pivoting (D18-1)

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Challenge: a new study advocates the use of bilingual corpora for sentence compression models . previous work focused on word deletion, while others view sentence compression as a general text rewriting problem.
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The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
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The brWaC Corpus: A New Open Resource for Brazilian Portuguese (L18-1)

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Challenge: a large corpus for Brazilian Portuguese is needed for NLP applications . the corpus is 2.7 billion tokens, and domain diversity is maximized .
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Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features (2024.findings-acl)

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Challenge: Automated text simplification requires (paired) datasets that are scarce in languages other than English.
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A Nontrivial Sentence Corpus for the Task of Sentence Readability Assessment in Portuguese (C18-1)

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Challenge: Effective textual communication depends on readers being proficient enough to comprehend texts . when meaning is not well conveyed, many losses and damages may occur .
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Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings (2025.coling-main)

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Challenge: a new system for sentence compression is developed for broadcast and live media . the goal is to reduce the on-screen visual constraints of the text .
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Multi-Source Text Classification for Multilingual Sentence Encoder with Machine Translation (2024.naacl-srw)

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Challenge: Pre-trained multilingual sentence encoders suffer from performance degradation for non-English languages.
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Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights (2025.acl-long)

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Challenge: Sentence simplification (SS) aims to make sentences more straightforward to read and understand without changing its key points.
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Multi-Word Lexical Simplification (2020.coling-main)

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Challenge: In text simplification, individual words are replaced with their simpler equivalents, but single word substitutions do not cover the full complexity of techniques humans use to approach text simulating.
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