Language Learning


[R] From DeepMind: Grounded Language Learning in a Simulated 3D World • r/MachineLearning

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Abstract: We are increasingly surrounded by artificially intelligent technology that takes decisions and executes actions on our behalf. This creates a pressing need for general means to communicate with, instruct and guide artificial agents, with human language the most compelling means for such communication. Here we present an agent that learns to interpret language in a simulated 3D environment where it is rewarded for the successful execution of written instructions. Trained via a combination of reinforcement and unsupervised learning, and beginning with minimal prior knowledge, the agent learns to relate linguistic symbols to emergent perceptual representations of its physical surroundings and to pertinent sequences of actions.


Number of foreign students at public schools who lack Japanese language skills hits record high

The Japan Times

By prefecture, Aichi tops the list with 7,277 non-Japanese children with poor Japanese skills, followed by Kanagawa at 3,947, Tokyo at 2,932, Shizuoka at 2,673 and Osaka at 2,275. The survey also found 9,612 children who hold Japanese citizenship but have poor Japanese skills, needing remedial language instruction. Such children often have no choice but to learn basic Japanese at language schools or in classes provided by nonprofit groups like the center before entering a public school, Hazeki said. "There are a lot of language schools in Japan for international students, but Japan does not have a well-established system to train people who can teach Japanese to those elementary and junior high school children," Hazeki said.


Automatic sign language translators turn signing into text

New Scientist

Machine translation systems that convert sign language into text and back again are helping people who are deaf or have difficulty hearing to communicate with those who cannot sign. A sign language user can approach a bank teller and sign to the KinTrans camera that they'd like assistance, for example. KinTrans's machine learning algorithm translates each sign as it is made and then a separate algorithm turns those signs into a sentence that makes grammatical sense. KinTrans founder Mohamed Elwazer says his system can already recognise thousands of signs in both American and Arabic sign language with 98 per cent accuracy.


From machine learning to Python language skills: 6 tech skill sets that fetch maximum salary

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With both machine learning and data analytics skill set, one can easily fetch an average pay of Rs 13.94 lakh per annum (LPA). Although knowledge of machine learning algorithms do add to the highest package, the skill set alone can fetch a handsome Rs 10.43 LPA on average. If the latest Analytics India Industry Report 2017 – Salaries & Trends report is anything to go by, one could make an average of Rs 10.40 LPA with exceptional R language skills. One of the most popular programming languages, professionals with Python skill set can make around Rs 10.12 LPA on average.


Investigating Bias In AI Language Learning

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We recommend addressing this through the explicit characterization of acceptable behavior. One such approach is seen in the nascent field of fairness in machine learning, which specifies and enforces mathematical formulations of nondiscrimination in decision-making. Another approach can be found in modular AI architectures, such as cognitive systems, in which implicit learning of statistical regularities can be compartmentalized and augmented with explicit instruction of rules of appropriate conduct . Certainly, caution must be used in incorporating modules constructed via unsupervised machine learning into decision-making systems.


This shuttle bus will serve people with vision, hearing, and physical impairments--and drive itself

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Manser's employer, IBM, and an independent carmaker called Local Motors are developing a self-driving, electric shuttle bus that combines artificial intelligence, augmented reality, and smartphone apps to serve people with vision, hearing, physical, and cognitive disabilities. Future Ollis, for example, might direct visually impaired passengers to empty seats using machine vision to identify open spots, and audio cues and a mobile app to direct the passenger. For deaf people, the buses could employ machine vision and augmented reality to read and speak sign language via onboard screens or passengers' smartphones. Another potential Olli technology combines machine vision and sensors to detect when passengers leave items under their seats and issues alerts so the possessions can be retrieved, a feature meant to benefit people with age-related dementia and other cognitive disabilities.


This shuttle bus will serve people with vision, hearing, and physical impairments--and drive itself

#artificialintelligence

Manser's employer, IBM, and an independent carmaker called Local Motors are developing a self-driving, electric shuttle bus that combines artificial intelligence, augmented reality, and smartphone apps to serve people with vision, hearing, physical, and cognitive disabilities. Future Ollis, for example, might direct visually impaired passengers to empty seats using machine vision to identify open spots, and audio cues and a mobile app to direct the passenger. For deaf people, the buses could employ machine vision and augmented reality to read and speak sign language via onboard screens or passengers' smartphones. Another potential Olli technology combines machine vision and sensors to detect when passengers leave items under their seats and issues alerts so the possessions can be retrieved, a feature meant to benefit people with age-related dementia and other cognitive disabilities.


Trump's Speeches Are Helping People Learn English. Really

WIRED

And across Facebook groups sharing posts focusing on language learning and linguistics, early learners are turning to Trump-speak to learn basic vocabulary and concepts. The trend emerged back in February, when a post in the Polyglots group--a collection of Facebookers who love language and discuss linguistics--shared a piece from Good about Japanese translators struggling to parse Trump's speech. Nika Nemsitsveridze, a native Georgian speaker who's been learning English for about three years, is a member of Silly Linguistics, a Facebook group for language-related humor that often discusses Trump and the intricacies of his language. And though early learners can find comprehension in Trump's repetitive and simple language, advanced learners and native speakers are often confused by his rambling, tangential style, another reason linguists say Trump might not be the best learning tool.


This mind-reading system can correct a robot's error! Latest News & Updates at Daily News & Analysis

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A new brain-computer interface developed by scientists can read a person's thoughts in real time to identify when a robot makes a mistake, an advance that may lead to safer self-driving cars. By relying on brain signals called "error-related potentials" (ErrPs) that occur automatically when humans make a mistake or spot someone else making one, the new approach allows even complete novices to control a robot with their minds. This technology developed by researchers at the Boston University and the Massachusetts Institute of Technology (MIT) may offer intuitive and instantaneous ways of communicating with machines, for applications as diverse as supervising factory robots to controlling robotic prostheses. "When humans and robots work together, you basically have to learn the language of the robot, learn a new way to communicate with it, adapt to its interface," said Joseph DelPreto, a PhD candidate at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL).


Reimagining Language Learning with NLP and Reinforcement Learning

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With the unlimited supply of natural language data online, and with the advances in Natural Language Processing (NLP) techniques, shouldn't we be able to do something smarter? Actions could include vocabulary reviews, sentence comprehension tasks, or grammar exercises. In an MDP, the policy is defined as maximizing the sum of rewards from some reward function, and by defining that function in the right way we can solve the problem of finding an optimal policy using Reinforcement Learning techniques. If we can accurately model the knowledge of a learner and the knowledge dependencies of text, then this task becomes trivial.