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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

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Showing 51–75 of 147 papers

TitleStatusHype
Assisted Lexical Simplification for French Native Children with Reading Difficulties—0
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical SimplificationCode0
Improving Neural Text Simplification Model with Simplified Corpora—0
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationCode0
Data-Driven Text Simplification—0
ReSyf: a French lexicon with ranked synonyms—0
Lexi: A tool for adaptive, personalized text simplification—0
Personalizing Lexical Simplification—0
Learning Simplifications for Specific Target Audiences—0
Explicit Retrofitting of Distributional Word Vectors—0
Prior Attention for Style-aware Sequence-to-Sequence Models—0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
Complex Word Identification Using Character n-grams—0
Cross-lingual complex word identification with multitask learning—0
The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification—0
Deep Learning Architecture for Complex Word Identification—0
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting—0
Complex Word Identification Based on Frequency in a Learner Corpus—0
LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task—0
Simplification Using Paraphrases and Context-Based Lexical Substitution—0
SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain—0
CEFR-based Lexical Simplification Dataset—0
Text Simplification from Professionally Produced Corpora—0
Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?—0
Lexical Simplification with the Deep Structured Similarity Model—0
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