Архив метки: language

Shakespeare Meets Autocorrect as Language Technology Comes of Age

Language Technologies final projects: IT students Tatiana Svistova (front) and Anastasia Pukalova presenting their work.

Language Technologies final projects: IT students Tatiana Svistova (front) and Anastasia Pukalova presenting their work.

“In fair Verona, where we lay our scene”.  What would happen if the quintessential opening line from Romeo and Juliet, written by William Shakespeare, was read out as “in fair Moscow..”?

Good question.

Skoltech IT students, with the guidance of Professor Anatole Gershman of the Language Technologies Institute at Carnegie Mellon University, were asked to tackle one of the biggest question in information technology: how can developers harness the immense power of super computers, social networks and sophisticated algorithms to communicate better – not only with the machines but with other people.

The students’ efforts resulted in an array of applications and prototypes, showcased at the Language Technologies final presentations event.

Projects varied from a smart CV writing application that might help you survive the merciless resume screening that companies such as Google or Intel use when they assess job applications; “Moscow Social” – an app that measures the mood in different parts of the city by analyzing emotions expressed in tweets; novelty detection in news articles; an application that recognize’s a film’s name by analyzing one short quote a user might remember (similar to the way the Shazam app identifies whole music tracks from brief samples);  improved text prediction and better ‘auto-correct'; and even poetry reading assistance. Which brings the discussion back to Shakespeare: this app can help people who misread texts by the bard, or any other writer for that matter.

Anatole Gershman who taught the Language Technologies course at Skoltech works at Carnegie Mellon University.

Anatole Gershman who taught the Language Technologies course at Skoltech is a professor at Carnegie Mellon University.

Prof Gershman: “The  whole point is to develop solutions to real world problems. My experience tells me that nobody learns only from listening to lectures – you need to learn by doing. This is what the course was about and this is what Skoltech is about.

“The students were asked to create six mini-projects and then develop a final big project. Some of the things we have seen here today were very impressive so I cannot wait to see these prototypes grow into commercially viable projects.”

Some of the students said they are in talks with leading communications and IT companies. Others have pitched their projects to polling centers and e-commerce operators.

(Text and Photos: Ilan Goren)

 

 

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Opportunities: New Language Technology Courses Open to Outside Participants

Language technologies have been around for a long time, but have gone through a revolution in recent years. Photo: The Royal broadcast, Christmas 1934, courtesy of Wikipedia

Language technologies have been around for a long time, but have gone through a revolution in recent years. Photo: The Royal broadcast, Christmas 1934, courtesy of Wikipedia

Skoltech is proud to announce a unique opportunity for students with a background in Information Technology to join a newly developed graduate level 8-week Language Technologies courses offered, alongside with Skoltech students.

The courses on offer (see below) are available this upcoming Term 3 of the spring semester.

Please note that course participation will be offered free of charge and participants will be selected on a competitive basis and that language of instruction will be English only.

INTRODUCTION TO LANGUAGE TECHNOLOGIES

Term 3 Spring semester 2015

Study period: February 2, 2015 – March 27, 2015

Where: Skolkovo Innovation Center, Hypercube

Contact and info: Yana Kraskovskaya

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Tel. +7 (495) 280 14 81 ext.34-04

 

Course Description

The course will give students a practical sense of current capabilities of Language Technologies, their underlying principles and business applications. It will cover 6 major components of Language Technologies: Information Retrieval, Information Extraction, Machine Translation, Speech Recognition, Text and Speech Generation, and Communication with Devices. Each area will be covered with an overview lecture, practical exercises and a discussion of trends and applications.  Last 2 weeks will be dedicated to short projects by groups of students. Utilization of the state-of-the-art Open Source and commercial tools will be emphasized.

 

Intended Learning Outcomes

Upon completion of this course, the student will be able to:

 

  • Articulate the key principles and methods underlying Language Technologies
  • Assess applicability of Language Technologies for solving business problems
  • Select appropriate tools
  • Build simple applications

 

Course instructors: Anatole Gershman

http://www.cs.cmu.edu/~anatoleg/

 

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