Lexical Simplification
19 papers with code • 0 benchmarks • 1 datasets
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
Benchmarks
These leaderboards are used to track progress in Lexical Simplification
WikiLarge
Latest papers with no code
SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words
We use a small-scale simple text dataset for continued pre-training and employ two methods to identify simple words from the texts.
Automatic Lexical Simplification for Turkish
In this paper, we present the first automatic lexical simplification system for the Turkish language.
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification
For both human readers and pre-trained language models (PrLMs), lexical diversity may lead to confusion and inaccuracy when understanding the underlying semantic meanings of given sentences.
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach
Lexical complexity plays an important role in reading comprehension.
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction
Lexical complexity prediction (LCP) conveys the anticipation of the complexity level of a token or a set of tokens in a sentence.
Word Complexity is in the Eye of the Beholder
Lexical complexity is a highly subjective notion, yet this factor is often neglected in lexical simplification and readability systems which use a {''}one-size-fits-all{''} approach.
Enhancing Pre-trained Language Model with Lexical Simplification
By substituting complex words with simple alternatives, lexical simplification (LS) is a recognized method to reduce such lexical diversity, and therefore to improve the understandability of sentences.
SIMPLEX-PB 2.0: A Reliable Dataset for Lexical Simplification in Brazilian Portuguese
Most research on Lexical Simplification (LS) addresses non-native speakers of English, since they are numerous and easy to recruit.
A Lexical Simplification Tool for Promoting Health Literacy
This paper presents MedSimples, an authoring tool that combines Natural Language Processing, Corpus Linguistics and Terminology to help writers to convert health-related information into a more accessible version for people with low literacy skills.
Word Complexity Estimation for Japanese Lexical Simplification
We introduce three language resources for Japanese lexical simplification: 1) a large-scale word complexity lexicon, 2) the first synonym lexicon for converting complex words to simpler ones, and 3) the first toolkit for developing and benchmarking Japanese lexical simplification system.
