Although there is abundant evidence for the use of first-language (L1) knowledge by bilinguals when using a second language (L2), investigation into the impact of L1 knowledge in large-scale L2 language assessments and discussion of how such impact may be controlled has received little attention in the language assessment literature. This study…

As applied linguists and language testers, we are in the business of "doing language". For many of us, language learning is a lifelong passion, and we invest similar enthusiasm in our language assessment research and testing practices. Language is also the vehicle through which we communicate that enthusiasm to others, sharing our…

In this invited Viewpoint on the occasion of the 40th anniversary of the journal "Language Testing," I argue that at the core of future challenges and opportunities for the field--both in scholarly and operational respects--remain basic questions and principles in language testing and assessment. Despite the high levels of sophistication…

Word frequency has a long history of being considered the most important predictor of word difficulty and has served as a guideline for several aspects of second language vocabulary teaching, learning, and assessment. However, recent empirical research has challenged the supremacy of frequency as a predictor of word difficulty. Accordingly,…

Lexical frequency benchmarks have been extensively used to investigate second language (L2) lexical sophistication, especially in language assessment studies. However, indices based on semantic co-occurrence, which may be a better representation of the experience language users have with lexical items, have not been sufficiently tested as…

This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…

Rating scale development in the field of language assessment is often considered in dichotomous ways: It is assumed to be guided either by expert intuition or by drawing on performance data. Even though quite a few authors have argued that rating scale development is rarely so easily classifiable, this dyadic view has dominated language testing…

In its 40th year, "Language Testing" journal has served as the flagship journal for scholars, researchers, and practitioners in the field of language testing and assessment. This viewpoint piece, written from the perspective of an emerging scholar, discusses two possible future trends based on evidence going back to the very first issue…

Published work on vocabulary assessment has grown substantially in the last 10 years, but it is still somewhat outside the mainstream of the field. There has been a recent call for those developing vocabulary tests to apply professional standards to their work, especially in validating their instruments for specified purposes before releasing them…

Promoting diversity, equity, and inclusion (DEI) has become a unifying cause within applied linguistics. Whether highlighting the experiences of linguistically diverse learners across the social class spectrum or advocating for the inclusion of marginalized populations in research, researchers within the subfields of applied linguistics have…

Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…

Vocabulary's relationship to reading proficiency is frequently cited as a justification for the assessment of L2 written receptive vocabulary knowledge. However, to date, there has been relatively little research regarding which modalities of vocabulary knowledge have the strongest correlations to reading proficiency, and observed differences have…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…

An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…