Talking to computers in natural language
Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand of natural-language interfaces make it a promising time to once again tackle the long-standing challenge.
To err is human, to correct is divine
Technology has made language learning a more interactive and enjoyable experience, but it has never been smart enough to replace human tutors. However, the latest advances in automated grammatical error correction open up new horizons. Could software ...
From wax tablets to touchscreens: an introduction to text-entry research
How we can enable users to transmit text to mobile and ubiquitous computer systems as quickly and as accurately as possible.
Ancient Sumerian online: challenges and opportunities
Far from its beginnings as symbols pressed into clay tablets, Ancient Sumerian is now being digitized and shared through cutting edge semantic web technologies.
Detecting influencers in social media discussions
Knowing who's influential can help when planning political campaigns, advertising strategies, or even combating terrorism; and now research into influence detection promises to automate such detection.
Spoken dialogue systems: the new frontier in human-computer interaction
Wouldn't it be great if we could simply talk to our technical devices instead of relying on cumbersome displays and keyboards to convey what we want?
A hybrid system for code switch point detection in informal Arabic text
How to detect the switch between a standard and a dialectal form of a language in written text and why this is important for natural language processing tasks.
Miriam Plieninger on language learning with Babbel
Babbel's Director of Didactics, Miriam Plieninger, weighs in on how mobile apps are rapidly changing the way we approach language learning.
