| Challenge: | Existing methods for text simplification for Urdu rely on manual lexicons and simplified corpora, but are not applicable to the language. |
| Approach: | They propose an unsupervised method for automatic text simplification for Urdu using word embeddings and morphological features. |
| Outcome: | The proposed method achieves BLEU score of 80.15 and SARI score of 42.02 on simple text generated on simplified corpora and human evaluations for correctness, grammaticality, meaning-preservation and simplicity. |
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| Challenge: | Existing systems for automatic text simplification (ATS) focus on lexical and syntactic transformations, but there is no end-to-end system for French. |
| Approach: | They propose to use word embeddings for lexical simplification and rule-based strategies for syntax and discourse adaptations to improve the complexity of texts. |
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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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Lexi: A tool for adaptive, personalized text simplification (C18-1)
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| Challenge: | Existing research on text simplification has aimed to develop generic solutions . instead, we need to develop customized simplification systems for individual users . |
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Linguistic Corpus Annotation for Automatic Text Simplification Evaluation (2022.emnlp-main)
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Rémi Cardon, Adrien Bibal, Rodrigo Wilkens, David Alfter, Magali Norré, Adeline Müller, Watrin Patrick, Thomas François
| Challenge: | Evaluating automatic text simplification systems is a difficult task that is performed either by automatic metrics or user-based evaluations. |
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| Challenge: | Text simplification is a valuable technique, but research on it is limited. |
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Text Simplification from Professionally Produced Corpora (L18-1)
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| Challenge: | Existing approaches to Text Simplification rely on the Wikipedia-Simple Wikipedia parallel corpus, which is used for many tasks. |
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Automatic Text Simplification for Social Good: Progress and Challenges (2021.findings-acl)
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| Challenge: | ATS has been promoted as a natural language processing task since the 1990s . but since 2010, the field has been focusing on building complex end-to-end neural architectures based on ATS . |
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CWID-hi: A Dataset for Complex Word Identification in Hindi Text (2022.lrec-1)
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| Challenge: | Text simplification is a method for improving the accessibility of text by converting complex sentences into simple sentences. |
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Data-Driven Text Simplification (C18-3)
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| Challenge: | Automatic text simplification is the process of transforming a complex text into an equivalent version which would be easier to read or understand by automatic natural language processors. |
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Recursive Context-Aware Lexical Simplification (D19-1)
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| Challenge: | REC-LS is a system that can be used to perform a number of simplifications at once, but the results are sometimes ungrammatical and meaning can be changed, making the original text less clear and more complex. |
| Approach: | They propose a recursive context-aware lexical simplification architecture that takes previous simplification steps into account and makes use of the wider context when detecting the words in need of simplification. |
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