On the application of large language models for language teaching and assessment technology

A Caines, L Benedetto, S Taslimipoor, C Davis… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

The BEA 2024 shared task on the multilingual lexical simplification pipeline

M Shardlow, F Alva-Manchego… - Proceedings of the …, 2024 - aclanthology.org
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 …

Deep learning approaches to lexical simplification: A survey

K North, T Ranasinghe, M Shardlow… - Journal of Intelligent …, 2024 - Springer
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 …

TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?

T Enomoto, H Kim, T Hirasawa, Y Nagai… - Proceedings of the …, 2024 - aclanthology.org
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 …

Multils: A multi-task lexical simplification framework

K North, T Ranasinghe, M Shardlow… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

ALEXSIS+: Improving substitute generation and selection for lexical simplification with information retrieval

K North, A Dmonte, T Ranasinghe… - Proceedings of the …, 2023 - aclanthology.org
Lexical simplification (LS) automatically replaces words that are deemed difficult to
understand for a given target population with simpler alternatives, whilst preserving the …

GMU-WLV at TSAR-2022 shared task: Evaluating lexical simplification models

K North, A Dmonte, T Ranasinghe… - Proceedings of the …, 2022 - aclanthology.org
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 …

Gmu at mlsp 2024: Multilingual lexical simplification with transformer models

D Goswami, K North, M Zampieri - … on Innovative Use of NLP for …, 2024 - aclanthology.org
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 …

ALEXSIS-PT: A new resource for portuguese lexical simplification

K North, M Zampieri, T Ranasinghe - arxiv preprint arxiv:2209.09034, 2022 - arxiv.org
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 …

Multilingual controllable transformer-based lexical simplification

KC Sheang, H Saggion - arxiv preprint arxiv:2307.02120, 2023 - arxiv.org
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 …