Features of lexical complexity: insights from L1 and L2 speakers [PDF]
We discover sizable differences between the lexical complexity assignments of first language (L1) and second language (L2) English speakers. The complexity assignments of 940 shared tokens without context were extracted and compared from three lexical ...
Kai North, Marcos Zampieri
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Lexical Complexity Prediction: An Overview
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modeling has been applied to identify complex words in texts and substitute them for simpler alternatives. In this article, we present an overview of computational approaches to lexical complexity
Marcos Zampieri +2 more
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How Technology Tools Impact Writing Performance, Lexical Complexity, and Perceived Self-Regulated Learning Strategies in EFL Academic Writing: A Comparative Study [PDF]
Students experience different levels of autonomy based on the mediation of self-regulated learning (SRL), but little is known about the effects of different mediation technologies on students' perceived SRL strategies.
Yangxi Han +3 more
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Syntactic and lexical complexity in L2 English academic writing: Development and competition
Academic writing is both challenging and essential for university students studying in a second language. Linguistic complexity is a useful indicator of second language development, including academic writing.
John A. O'Leary, Rasmus Steinkrauss
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Lexical and post-lexical complexity effects on eye movements in reading
The current study investigated how a post-lexical complexity manipulation followed by a lexical complexity manipulation affects eye movements during reading.
Tessa Warren +2 more
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An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
This study investigates the phenomenon of simplification in Chinese-to-English translation across Human Translation (HT), neural machine translation (NMT), and large language model (LLM)-based translation, ChatGPT as an example.
Guangyuan Yao, Lingxi Fan
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The predictive effects of individual difference factors on L2 writing complexity, accuracy, and fluency [PDF]
Drawing on the control-value theory and the individual-environmental model of writing, this study investigated the predictive effects of various individual difference factors (i.e., L2 writing grit, enjoyment, anxiety, motivation, and working memory) on ...
Zihan Gao, Zihan Gao
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Predicting lexical complexity in English texts: the Complex 2.0 dataset
AbstractIdentifying words which may cause difficulty for a reader is an essential step in most lexical text simplification systems prior to lexical substitution and can also be used for assessing the readability of a text. This task is commonly referred to as complex word identification (CWI) and is often modelled as a supervised classification problem.
Richard Evans +2 more
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The Effect of Choice of Prompts on Syntactic Complexity, Grammatical Accuracy, and Lexical Diversity in L2 Argumentative Writing Essays [PDF]
Previous research has shown the differential effects of task-related prompts on syntactic complexity, grammatical accuracy, and lexical diversity when L2 learners use writing prompts to produce a piece of writing. However, the extent to which the freedom
Rajab Esfandiari, Nilofar Sadeghian
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Lexical and phraseological differences between second language written and spoken opinion responses
This study examines differences in lexical and phraseological complexity features between second language (L2) written and spoken opinion responses via classification analysis.
Minkyung Kim +2 more
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