Amazon Developer Blogs

Amazon Developer Blogs

Showing posts tagged with Alexa

October 28, 2019

Quynh Do

Cross-lingual transfer learning, which uses machine learning models trained in one language to bootstrap models in another, benefits from algorithms that select high-value training data in the source language.

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October 24, 2019

Ben Grossman

Developers can now create premium kid skills for the US Alexa Skills Store using in-skill purchasing (ISP).

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October 21, 2019

Arunjeet Singh

Today, we are excited to announce that you can start building skills using Alexa Presentation Language (APL) on the Echo Dot with clock, one of Amazon’s newest Echo devices. With this new capability, APL can be used to build visual experiences on a new class of devices with character-based displays.

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October 20, 2019

Nahoko Hirabayashi

スキル内課金でプレミアムコンテンツを開発するにあたって、人気スキルの事例が参考になります。このブログでは、米国、ドイツ、英国のスキル内課金を使ったスキルの事例をご紹介します。

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October 17, 2019

Christos Christodoulopoulos

The open challenge for the Fact Extraction and Verification (FEVER) workshop at EMNLP involved devising adversarial examples that would stump fact verification systems trained on the FEVER data set.

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October 16, 2019

Justin Jeffress

We’re excited to introduce our new Alexa Skills course, "How to Design for In-Skill Purchasing". This free course outlines tips and best practices for designing a great monetized Alexa skill experience.

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October 11, 2019

Janet Slifka

Synthetic-data generators provided initial training data for natural-language-understanding models in Hindi, U.S. Spanish, and Brazilian Portuguese.

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October 07, 2019

Chisato Hiroki

Alexa Developerスキルアワード2019キッズ部門を受賞した『サカナノジカン』を開発した國川雅司氏、 南島康一氏、小川麟太郎氏は、6月9日に行われたスキルアワードハッカソンで出会い、結成されたチームです。スキルアワードを通した経験や、スキル開発の工夫などを伺いました。

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October 03, 2019

Satish Kumar

Brazilian Portuguese Amazon Alexa Voice Service

Starting October 8, we are expanding Alexa Voice Service capabilities by bringing the Portuguese language to customers across Brazil.

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October 01, 2019

Zaid Ahmed

Recorded in the lab during simulated dinner parties, a new data set should aid the development of systems for separating speech signals in reverberant rooms with multiple speakers.

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