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You are here: Home Welcome to Language Technology World (May 31st, 2011)

Welcome to Language Technology World (May 31st, 2011)

Last updated: May 31st, 2011


LT World is the most comprehensive WWW information service and knowledge source on the wide range of technologies dealing with human language. The service is provided for META-NET by DFKI. Contents are constantly being improved. Please send corrections and pointers to missing information to feedback@lt-world.org.



Google to shut down

Translate API


The Google Translate API has been officially deprecated as of May 26, 2011. Due to the substantial economic burden caused by extensive abuse, the number of requests you may make per day will be limited and the API will be shut off completely on December 1, 2011.


Google Translate


According to the official Google Code Blog, Google is ceasing active development on some APIs within its directory. Google's officially nuking 11 different APIs out of its database entirely. The biggest name to go is likely the popular Google Translate API, due to user abuse.

The official statement: "Due to the substantial economic burden caused by extensive abuse, the number of requests you may make per day will be limited and the API will be shut off completely on December 1, 2011" was posted as a message to the Google Translate API page within Google Code.

According to Google, the company will not be elaborating on what constitutes extensive abuse. "We continue to invest in our Translate offerings, including the Google Translate web element. But the Translate API was subject to extensive abuse -- the vast majority of usage was in clear violation of our terms".

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teaser-arrow.gif Lost in translation: Tie-up with Google offers hope for cheaper patent filing.
teaser-arrow.gif Wall Street is betting on your Social Media data.
teaser-arrow.gif Identifying humor through Software.
teaser-arrow.gif Facebook Data incorporated into Bing for better Search Experience.
teaser-arrow.gif Google rolled out social search in 19 languages.
teaser-arrow.gif Voice Sentiment Analysis startup Saygent raises $1 million.
teaser-arrow.gif 'Fantastical' Natural Language Calendar App for Mac launched.
teaser-arrow.gif Lingotek and Acquia partner for Drupal Translation.
teaser-arrow.gif MultiCorpora bridges gap with composite product to cover the entire translation life-cycle.
teaser-arrow.gif OneSky to bring crowdsourced translations to sites and apps.
teaser-arrow.gif Designing machine translation-friendly websites.
teaser-arrow.gif Future of Games: Generating Natural Language for game dialogue.
teaser-arrow.gif Science vital in securing EU's future.
teaser-arrow.gif Commission selects six FET projects to compete for funding.
teaser-arrow.gif The Return of the Scots language.
teaser-arrow.gif Translators enjoy growing demand.
teaser-arrow.gif More than half EU internet surfers use foreign language when online.
teaser-arrow.gif Developing Countries need help to get research results patented.
Bracing for the Data Deluge.
teaser-arrow.gif Robots learn to create language.
teaser-arrow.gif Library of Congress may begin transitioning away from MARC.
teaser-arrow.gif ThingWorx named "Cool Vendor" for Connecting Technologies by Gartner.
teaser-arrow.gif Apple and Google defend their data handling.

Researchers Create
Schizophrenic Computer

Schizophrenic Brain

img src: http://spectrum.ieee.org/

We know what schizophrenia looks like in humans. We think we know what schizophrenia looks like in mice. Now we may know what it looks like in a computer. Researchers at the University of Texas have modeled the disease in a natural language parser, called DISCERN, as a way to test competing theories of the neural mechanisms that cause schizophrenia.


DISCERN was built to process and recall simple narratives. Through training, the system learns what words mean and how they work in sentences in a way that mimics activation patterns in the brain. With the original settings, DISCERN is able to digest a narrative, retain it, and reproduce the story in its "own" words. The system also identifies negative and positive aspects of the story to change the likelihood that it will remember a specific detail. In this way, DISCERN models the brain both as a semantic and emotional processor.


When diagnosing and treating schizophrenics, doctors often look for disturbances in storytelling and semantics. Finding those same symptoms in DISCERN has strengthened a theory that hyper-learning causes schizophrenia.

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