The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…

With the dramatic improvement in quality, machine translation has emerged as a tool widely adopted by language learners. Its use, however, has been a divisive issue in language education. We conducted an approximate replication of Lee (2020) about the impact of machine translation on EFL writing. This study used a mixed-methods approach with…

This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…

In recent years, an array of studies has focused on 'translationese' (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for…

Research on pragmatic awareness of language learners has mainly focused on the target language. As argued by some scholars, a multilingual perspective should also be adopted in the analysis of pragmatic awareness. In fact, existing findings point to the peculiar characteristics of multilingual pragmatic comprehension and awareness. Bearing these…

Ambiguity in discourse is pervasive, yet mechanisms of production and processing suggest that it tends to be compensated in context. The present study sets out to analyze the combination of discourse markers (such as "but" or "moreover") with other discourse signals (such as semantic relations or punctuation marks) across three…

The work of translation seems to be much easier with the assistance of web-based Machine Translation such as Google Translate. Does it work well? This study aims at finding how Google translates academic texts from Indonesian into English. It is also to find the extent to which Google Translate accurately and naturally transfers such texts. The…

Learner corpus studies using syntactic complexity as a construct for characterizing learner proficiency have found that higher proficiency permits learners to produce more complex syntactic structures. However, the majority of previous studies have focused on writing, almost exclusively with adult second language (L2) learners. Given the…

Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…

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,…

This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies…

Corpus linguistics has established that language is highly patterned. The use of patterned language has been linked to processing advantages with respect to listening and reading, which has implications for perceptions of fluency. The last twenty years has seen an increase in the integration of corpus-based language learning, or data-driven…

A number of studies have suggested the potentials of corpus tools in vocabulary learning. However, there are still some concerns. Corpus tools might be too complicated to use; example sentences retrieved from corpus tools might be too difficult to understand; processing large number of sample sentences could be challenging and time-consuming;…

A great deal of research has now established that written texts embody interactions between writers and readers, but few studies have examined the ways that small acts of reformulation and exemplification help contribute to this. Abstraction, theorisation and interpretation need to be woven into a text which makes sense to a particular community…