Today's use of technology and media in daily life has altered the dominant role the written word has played in communication over centuries. Currently, educational settings take into consideration the combination of different modes of representation that exist in an array of everyday texts. "Developing knowledge about linguistic, visual and…

Second language listening (L2 listening) is taken for granted in the language classroom. The time allocated to it is often minimal, and it does not always aim at developing listening skills. It serves other purposes, such as testing comprehension and/or introducing a different activity. Graham (2017) noted that L2 listening is done in the language…

This piece explores technologies for freer communication "with" machines, i.e. bots (chatbots or conversational agents), rather than the concept of speaking "to" machines, such as Intelligent Assistants (IA) like "Alexa." Bots are computer programmes which simulate natural intelligent communication using text or…

The 2022 EUROCALL conference was held in Reykjavik on 17-19 August 2022 as a fully online event hosted by the Vigdís Finnbogadóttir Institute for Foreign Languages, the University of Iceland, and the Árni Magnússon Institute for Icelandic Studies. The conference theme was "Intelligent CALL, granular systems and learner data." This theme…

A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts, with annotations typically including embedded audio and translations, to support L2 learning through reading. An important question is how to create the audio, which can be done either through human recording or by a Text-To-Speech (TTS) synthesis…

This paper aims to present the pragmatic functions and the interpretations of 'taha' ([characters omitted]) (a very commonly used particle in oral Cypriot-Greek interactions) as it is used in classroom discourse. The present study collected and analysed data from a three hour recording of the participants' speech, and isolated 32 critical episodes…

This research aimed to investigate the effects of pronunciation monitoring on learners' affective factors through self-monitoring activities using speech recognition systems. The effect of a specifically designed pronunciation activity for Japanese university students was analyzed. The worksheet form of the activity was based on the use of speech…

We describe how the open-source Learning and Reading Assistant (LARA) platform was used to convert a classic Old Norse text, the "Völuspá," into an interactive online form. The LARA version includes high-quality recorded audio, translations, notes on key words and phrases, an automatically generated concordance, and links to other online…

"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56…

Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…

This article, based on Khademi's (2021) Master's thesis, examines the use of Google Translate (GT) and its speech capabilities, Text-to-Speech Synthesis (TTS) and Automatic Speech Recognition (ASR), in helping L2 learners acquire the pronunciation of English past -ed allomorphy (/t/, /d/, /id/) in a semi-autonomous context, considering three…

This paper focuses on Partial and Synchronized Caption (PSC) as a tool to train L2 listening and introduces new features to facilitate speech-related difficulties. PSC is an intelligent caption that extensively processes the audio and transcript to detect and present difficult words or phrases for L2 learners. With the new features, learners can…

This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…

This mixed-methods one-shot study examines L2 writers' perceptions of using Automatic Speech Recognition (ASR) to write using the Technology Acceptance Model (TAM), based on three criteria: usefulness, ease of use, and intention to use. After receiving training on Google voice typing in Google Docs, 17 English as a Second Language (ESL) students…