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Lexical Simplification

The goal of Lexical Simplification is to replace complex words (typically words that are used less often in language and are therefore less familiar to readers) with their simpler synonyms, without infringing the grammaticality and changing the meaning of the text.

Source: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Papers

Showing 2130 of 147 papers

TitleStatusHype
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French0
Towards Arabic Sentence Simplification via Classification and Generative ApproachesCode0
SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words0
Automatic Lexical Simplification for Turkish0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification0
CLexIS2: A New Corpus for Complex Word Identification Research in Computing Studies0
FrenLyS: A Tool for the Automatic Simplification of French General Language Texts0
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction0
What Makes a Concept Complex? Measuring Conceptual Complexity as a Precursor for Text Simplification0
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