In parallel with the recognition of the importance of writer presence in academic texts, there has been an increasing interest in writer stance. Yet, very little of this research has been devoted to the construction of stance through retrospective labels. Driven by this need, this study aims to investigate the construction of stance through…

While information theory is typically considered in the context of modern computing and engineering, its core mathematical principles provide a potentially useful lens through which to consider human language. Like the artificial communication systems such principles were invented to describe, natural languages involve a sender and receiver, a…

This article discusses the occurrence of voids in the intersection between Hebrew and Israeli Sign Language (ISL). Using Weizman's classification of voids (2010, 2016) in our analysis, we have discovered that languages that employ visual and auditory modalities make use of an additional category of voids: modality-induced voids. Our corpus…

Viewing its use in language teaching mainly as a text corpus, this article examines the problem of the assessment of suitability of this material for use in the Greek language course in Cyprus schooling. The suitability of texts for use in language teaching is defined by four parameters, which are described in detail in this article: text…

Web-based machine translation (WBMT) tools have long been used by language learners, but until recently, their value as learning tools was limited by the limited accuracy of their outputs. In the past few years, however, the advent of neural machine translation has drastically improved the accuracy of WBMT, considerably increasing their…

Automatic essay scoring (AES) refers to the process of scoring free text responses to given prompts, considering human grader scores as the gold standard. Writing such essays is an essential component of many language and aptitude exams. Hence, AES became an active and established area of research, and there are many proprietary systems used in…

Social media content generated by learning communities within universities is serving both pedagogical and marketing purposes. There is currently a dearth of literature related to social media use at the departmental level within Higher Education Institutions (HEIs). This study explores the multi-voiced interactions of a UK Psychology department's…

Background: This study aims to develop a test for assessing pragmatic comprehension ability in Chinese as a second language (L2). Following the framework of an argument-based approach to test validation, this study attempts to obtain backing for the Evaluation and Explanation inferences. Methods: Test items were developed based on two sources of…

This study investigates prosodic modulation in the spontaneous canonical babble of congenitally deaf infants with cochlear implants (CI) and normally hearing (NH) infants. Research has shown that the acoustic cues to prominence are less modulated in CI babble. However acoustic measurements of individual cues to prominence give incomplete…

Automated alignment of transcriptions to audio files expedites the process of preparing data for acoustic analysis. Unfortunately, the benefits of auto-alignment have generally been available only to researchers studying majority languages, for which large corpora exist and for which acoustic models have been created by large-scale research…

Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…

The U.S. Department of Education is committed to supporting innovative advances in educational technology to improve teaching and learning across the nation's education systems and to support educators as they incorporate emerging technology into their learning communities. Artificial Intelligence (AI) in education is a complex and rapidly…

Errors in writing are unavoidable while students are trying to develop their writing skills. There have been several studies on identifying writing problems or errors in students' writing. It is believed that identifying students' written tasks is an effective tool to explore the difficulties involved in learning language. This helps teachers'…

Previous studies have investigated how second language (L2) readers construct memory for narrative texts according to causal relations between the events described. This study aims to extend their findings by including semantic text relations (similarity of meaning) as another variable, which are theoretically expected to play an additional role…

This study aims to exemplify how language teaching can benefit from learner corpus research (LCR). To this end, this study determines how L1 and L2 English speakers with diverse L1 backgrounds differ with respect to adjective amplification, based on the "International Corpus of Learner English" (ICLE) and the "Louvain Corpus of…