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Smart Phones are fast becoming ever-present personal assistants – personal assistants
which become more useful and productive with the inclusion of Natural Language Processing
power. For many users, smart phones have become their go-to-device for industry news
feeds, checking email and scheduling their agenda.
The sheer quantity of text which is read on these devices, and the number of screen-taps
needed to get things done, can be reduced by applying existing Natural Language
Processing pipelines such as automatic summarization to news feeds, email or attachments.
Summarized text can also be consumed in an eyes-free manner using the smart phone’s
Text To Speech capabilities. Dates, locations and people can be automatically detected using
Named Entity Recognition and integrated in the creation of new events in a user’s agenda.
iLanguage Lab is a Montreal start-up which seeks to put Natural Language Processing (NLP)
in the pockets of consumers, by combining Software Engineering with Field Linguistics to
build Open Source language-independent Natural Language Processing and….
Rene Witte
Ilanguage Lab
Computer science
Concordia University
Accelerate
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