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Kai North

5 accepted papers

2025

Tracing L1 Interference in English Learner Writing: A Longitudinal Corpus with Error Annotations

Poorvi Acharya, J. Elizabeth Liebl, Dhiman Goswami, Kai North, Marcos Zampieri, Antonios Anastasopoulos
EMNLP 2025

Language transfer is an important topic of research in second language acquisition and computational linguistics. The availability of suitable learner corpora is paramount for the study of second language acquisition (SLA) and language transfer. However, curating learner corpora is a challenging end

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2024

Language Variety Identification with True Labels

Marcos Zampieri, Kai North, Tommi Jauhiainen, Mariano Felice, Neha Kumari, Nishant Nair +1
COLING 2024main

Language identification is an important first step in many NLP applications. Most publicly available language identification datasets, however, are compiled under the assumption that the gold label of each instance is determined by where texts are retrieved from. Research has shown that this is a pr…

Cited by 21Source ↗PDF ↗code ↗Scholar ↗
2024

Native Language Identification in Texts: A Survey

Dhiman Goswami, Sharanya Thilagan, Kai North, Shervin Malmasi, Marcos Zampieri
NAACL 2024long

We present the first comprehensive survey of Native Language Identification (NLI) applied to texts. NLI is the task of automatically identifying an author’s native language (L1) based on their second language (L2) production. NLI is an important task with practical applications in second language te…

Cited by 6Source ↗PDF ↗Scholar ↗
2023

Target-Based Offensive Language Identification

Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal +2
ACL 2023short

We present TBO, a new dataset for Target-based Offensive language identification. TBO contains post-level annotations regarding the harmfulness of an offensive post and token-level annotations comprising of the target and the offensive argument expression. Popular offensive language identification d…

Cited by 2Source ↗PDF ↗code ↗Scholar ↗
2022

ALEXSIS-PT: A New Resource for Portuguese Lexical Simplification

Kai North, Marcos Zampieri, Tharindu Ranasinghe
COLING 2022main

Lexical simplification (LS) is the task of automatically replacing complex words for easier ones making texts more accessible to various target populations (e.g. individuals with low literacy, individuals with learning disabilities, second language learners). To train and test models, LS systems usu…

Cited by 15Source ↗PDF ↗Scholar ↗