Large‐scale learner corpora collected from online language learning platforms, such as the
EF‐Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze …

Natural language is a key form of business communication. Textual analysis is the
application of natural language processing (NLP) to textual data for automated information …

This article presents a theoretical review of and methodological guidelines for the study of
two key notions in second language acquisition research, complexity and difficulty. The term …

We present a set of novel neural supervised and unsupervised approaches for determining
the readability of documents. In the unsupervised setting, we leverage neural language …

Assessing text readability is a time-honored problem that has even more relevance in
today's information-rich world. This article provides background on how readability of texts is …

The success of language models has inspired the NLP community to attend to tasks that
require implicit and complex reasoning, relying on human-like commonsense mechanisms …

We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …

While vertical thinking relies on logical and commonsense reasoning, lateral thinking
requires systems to defy commonsense associations and overwrite them through …

This paper addresses the task of readability assessment for the texts aimed at second
language (L2) learners. One of the major challenges in this task is the lack of significantly …

This paper describes the collection and compilation of the OneStopEnglish corpus of texts
written at three reading levels, and demonstrates its usefulness for through two applications …