Amazon Developer Blogs

Amazon Developer Blogs

Showing posts tagged with Alexa research

August 13, 2018

Grant Strimel

How a new algorithm for "perfect hashing" enables Amazon scientists to shrink the memory footprint of machine learning models by 94%.

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August 08, 2018

Yuval Merhav

Amazon AI researchers have publicly released a new dataset with transliterations of 400,000 names, to aid the development of systems that can search for data across languages that use different scripts.

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July 23, 2018

Anirudh Raju

An Alexa speech scientist explains how Alexa can dynamically modify the statistical language models underlying her speech recognition systems to improve performance for individual customers in particular contexts.

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July 16, 2018

Bo Xiao

Bo Xiao, a machine learning scientist in the Alexa AI organization, describes his and his colleagues' Interspeech paper about using playback duration to gauge customer affinity for audio content.

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July 02, 2018

Larry Hardesty

The deadline for the 2018 Amazon Research Awards, a grant program that provides up to $80,000 in funding and $20,000 in Amazon Web Services Promotional Credits to academic researchers investigating topics related to machine learning, is September 15. 

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June 08, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the HypRank neural model, which performs the second step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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June 07, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the Shortlister neural model, which performs the first step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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June 01, 2018

Lambert Mathias

At a computational linguistics conference that begins this weekend, Amazon scientists will present a new, more sophisticated semantic-representation language. Data annotated in the language should enable Alexa skills to handle more sophisticated conversational interactions. 

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May 29, 2018

Penny Karanasou

In a paper that will be presented next week at a North American computational linguistics conference, Amazon scientists propose an approach for quickly bootstrapping machine-learning models in new languages, with the goal of bringing Alexa to new customers around the world more quickly.

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May 24, 2018

Angeliki Metallinou

At a forthcoming Computational Linguistics Conference, Amazon scientists will present how they use transfer- and deep-learning techniques to help them scale Alexa's natural-language-understanding capabilities faster, with less data.

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