This paper contributes to a research program within extensive reading (ER) and "Reading in a Foreign Language" using corpora to simulate ER input to develop vocabulary through incidental learning to 9,000 words. This helps researchers/teachers evaluate ER. If corpora indicate no 'pathway' from smaller to larger vocabulary sizes through…

It is commonly accepted that educators who prepare to teach materials to meet student needs should cover all skills in English, such as speaking, listening, reading, and writing with additional grammar and vocabulary according to the level of students. Because technology has developed rapidly, educators can design technologically friendly teaching…

Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…

This study examined the pedagogical use of Google Translate (GT) and its associated text-to-speech synthesis (TTS) and automatic speech recognition (ASR) as tools to assist in the learning of second/foreign language Dutch vocabulary and pronunciation in an autonomous, self-directed learning setting. Thirty participants used GT (its translation,…

Language learners need to map a continuous, multidimensional acoustic signal to discrete abstract speech categories. The complexity of this mapping poses a difficult learning problem, particularly for second language learners who struggle to acquire the speech sounds of a non-native language, and almost never reach native-like ability. A common…

Teacher-moderated online chats are a common option for conducting writing conferences with students. The efficacy of chat sessions is impacted by the expectations for and structure of these sessions. This corpus-based study used a move analysis to determine the purposes and organization of 129 chats between 3 experienced teachers and 106 students…

The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…

This study examines second language (L2) learners' perspectives regarding the affordances and challenges of using the Data-Driven Learning (DDL) to identify the properties of near-synonymous words. Employing a convergent mixed-method design, this study deciphers the perceptions of 40 undergraduate L2 learners majoring in English language teaching.…

Corpus-based data-driven learning (DDL) is an inductive instructional approach using computer-generated concordances. It provides students with the opportunity to analyze different language forms across contexts found in the concordance output. The idea of engaging students to discover the language rules and patterns from authentic learning…

This paper computes estimates of the potential for Extensive Reading (ER) and Extensive Viewing (EV) to support the academic and discipline-specific vocabulary needs of students. While research into ER/EV for general vocabulary is well-established, only recently has academic vocabulary begun to be researched. Given curriculum time constraints,…

As textbooks are main sources for pragmatic development in EFL contexts, they are evaluated to see if they contain adequate inputs. Hence, the frequency of four ubiquitous speech acts (apology, complaint, refusal, request) across four business English textbooks (Business Basics, Business Result, Business Venture, Powerbase) was analyzed. The…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

This article uses the clitic left dislocation (CLLD) construction in L2 Spanish to investigate whether generative SLA has valuable insights to contribute to language teaching. Although CLLD is a structure that is commonly used by native speakers, as reported anecdotally and in at least one corpus, we found that native-Spanish and native-English…

Spontaneous motion is one of the most basic event types, but different languages use varying patterns to express it. For example, English usually encodes path information in prepositional phrases or adverbial particles, while Korean maps path information onto verbs (Talmy, 1985). This study predicts that this typological difference would affect…

A great deal of research undertaken in child language development, neurolinguistics and various branches of functional and cognitive linguistics has shown that a main source of language development is the spoken input to which learners are exposed. Despite the fact that for most adult L2 learners, the greatest exposure to the L2 is the input they…