On the application of large language models for language teaching and assessment technology
The recent release of very large language models such as PaLM and GPT-4 has made an
unprecedented impact in the popular media and public consciousness, giving rise to a …
unprecedented impact in the popular media and public consciousness, giving rise to a …
The BEA 2024 shared task on the multilingual lexical simplification pipeline
We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
Deep learning approaches to lexical simplification: A survey
Lexical Simplification (LS) is the task of substituting complex words within a sentence for
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?
Lexical simplification (LS) is a process of replacing complex words with simpler alternatives
to help readers understand sentences seamlessly. This process is divided into two primary …
to help readers understand sentences seamlessly. This process is divided into two primary …
Multils: A multi-task lexical simplification framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
ALEXSIS+: Improving substitute generation and selection for lexical simplification with information retrieval
Lexical simplification (LS) automatically replaces words that are deemed difficult to
understand for a given target population with simpler alternatives, whilst preserving the …
understand for a given target population with simpler alternatives, whilst preserving the …
GMU-WLV at TSAR-2022 shared task: Evaluating lexical simplification models
This paper describes team GMU-WLV submission to the TSAR shared-task on multilingual
lexical simplification. The goal of the task is to automatically provide a set of candidate …
lexical simplification. The goal of the task is to automatically provide a set of candidate …
Gmu at mlsp 2024: Multilingual lexical simplification with transformer models
This paper presents GMU's submission to the Multilingual Lexical Simplification Pipeline
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
ALEXSIS-PT: A new resource for portuguese lexical simplification
Lexical simplification (LS) is the task of automatically replacing complex words for easier
ones making texts more accessible to various target populations (eg individuals with low …
ones making texts more accessible to various target populations (eg individuals with low …
Multilingual controllable transformer-based lexical simplification
Text is by far the most ubiquitous source of knowledge and information and should be made
easily accessible to as many people as possible; however, texts often contain complex …
easily accessible to as many people as possible; however, texts often contain complex …