In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. "Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide" serves as an indispensable guide for doctoral students and educators on the frontline of this shift,…

This volume presents the second edition of the "Communicative Orientation of Language Teaching (COLT) Observation Scheme." Since the book's original publication, COLT has become well established as a research instrument in L2 teaching and learning. This new edition brings COLT into the 21st century by introducing digital versions of the…

The integration of artificial intelligence in language learning is transforming education by making language acquisition more personalized, efficient, and accessible. AI-powered tools, such as intelligent tutoring systems and adaptive learning platforms, enable learners to receive real-time feedback, customized lessons, and immersive experiences…

This edited volume offers critical reflections on an essential component of research method in the field of second language acquisition -- data. Scholars working on diverse areas (e.g., pragmatics, corrective feedback, phonology) and approaches (e.g., corpus linguistics, concept-oriented analyses, variationism) have come together to identify…

The increasingly widespread use of social software (e.g., Wikis, Google Docs) in second language (L2) settings has brought a renewed attention to collaborative writing. Although the current methodological approaches to examining collaborative writing are valuable to understand L2 students' interactional patterns or perceived experiences, they can…

This book is unique in bringing together studies on instructed second language acquisition that focus on a common question: "What renders this research particularly relevant to classroom applications, and what are the advantages, challenges, and potential pitfalls of the methodology adopted?" The empirical studies feature experimental,…

The development of collocational knowledge is important for foreign language learners; unfortunately, learners often have difficulties producing proper collocations in the target language. Among the various ways of collocation learning, the DDL (data-driven learning) approach encourages the independent learning of collocations and allows learners…

This article proposes a methodology to create a multimodal corpus that can be shared with a group of researchers in order to analyze synchronous online pedagogical interactions. Epistemological aspects involved in studying online interactions from a multimodal and semiotic perspective are addressed. Then, issues and challenges raised by corpus…

English titles of medical research articles (RAs) are of great importance, the quality of which can, to a certain degree, affect impact factors of the articles, because many readers will make a decision as to whether to read on after reading titles. However, the special genre has not been extensively studied to date. This paper is designed to…

One of the major problems in artificial intelligence (AI) text generation is text organization; a poorly organized text can be unreadable or even misleading. A comparison of two AI approaches to text organization--McKeown's TEXT system and Rhetorical Structure Theory (RST)--shows that, although they share many assumptions about the nature of text,…

Learner corpora, electronic collections of spoken or written data from foreign language learners, offer unparalleled access to many hitherto uncovered aspects of learner language, particularly in their error-tagged format. This article aims to demonstrate the role that the learner corpus can play in CALL, particularly when used in conjunction with…

Describes a model for a front end query processor to deal with incomplete information in a database. The effectiveness of the processor in restricting the number of objects to be processed in a query and in aiding the interpretation of a query is discussed. (26 references) (Author/CLB)

Describes an algorithm for the calculation of term discrimination values that may be used when the interdocument similarity measure used is the cosine coefficient and when the document representations have been weighted using one particular term weighting scheme. (7 references) (Author/CLB)

Presents a methodology for extending string indexing from index display production to the provision of descriptor phrases for term proximity searching. Objectives of the extension are discussed, and an illustration of the use of an existing string indexing system for this purpose is given. (14 references) (CLB)

Computer programs for linguistic analysis of language samples from bilingual children were surveyed in order to evaluate their usefulness. Eight programs which could be implemented on the UCLA IBM 370/3033 computer were considered. It was determined that the Computer Assisted Language Analysis System was the most promising in terms of capabilities…