From its earliest days, practitioners of computer-assisted language learning (CALL) have collected data from computer-mediated learning environments. Indeed, that has been a central aspect of the field from the beginning. Usage logs provided valuable insights into how systems were used and how effective they were for language learning. That…

Although data collection has been used in language learning settings for some time, it is only in recent decades that large corpora have become available, along with efficient tools for their use. Advances in natural language processing (NLP) have enabled rich tagging and annotation of corpus data, essential for their effective use in language…

Five years ago in the February, 2007, issue of LLT, I wrote about developments in digital video of potential interest to language teachers. Since then, there have been major changes in options for video capture, editing, and delivery. One of the most significant has been the rise in popularity of video-based storytelling, enabled largely by…

Using computers to recognize and analyze human speech goes back at least to the 1970's. Developed initially to help the hearing or speech impaired, speech recognition was also used early on experimentally in language learning. Since the 1990's, advances in the scientific understanding of speech as well as significant enhancements in software and…

Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…