Amazon's suite of ML services is constantly expanding. From having capabilities of building custom ML pipelines in SageMaker to a versatile set of AutoML services, options to deploy and tackle ML problems are limitless. Neural Machine Translation is a theoretically intense field and requires deep knowledge of LSTMs and Deep Learning frameworks such as TensorFlow and PyTorch. For this article we will explore AWS Translate, a Neural Machine Translation tool that supports 71 languages and lets you build applications with a simple API call. This article is a continuation of the Auto-ML on AWS series, check out the Rekognition and Comprehend articles for the first two parts.

Waverly Labs' Ambassador, an over-the-ear translation device, can support up to 20 languages and 42 dialects. The greatest obstacle to international understanding is the barrier of language," wrote British scholar and author Christopher Dawson in November 1957, believing that relying on live, human translators to accurately capture and reflect a speaker's meaning, inflection, and emotion was too great of a challenge to overcome. More than 60 years later, Dawson's theory may finally be proven outdated, thanks to the development of powerful, portable real-time translation devices. The convergence of natural language processing technology, machine learning algorithms, and powerful portable chipsets has led to the development of new devices and applications that allow real-time, two-way translation of speech and text. Language translation devices are capable of listening to an audio source in one language, translating what is being said into another language, and then translating a ...