by Niranjan Hira, Solutions Architect, AWS Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation (MT) to create highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech to text capability to their applications, and Amazon Translate is a MT service that delivers fast, high-quality, and affordable language translation. In this session, you’ll learn how to weave machine translation and transcription into your workflows, to increase the efficiency and reach of your operations.

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Automate for Efficiency with Amazon Transcribe & Amazon Translate
Hira, Niranjan
AWS Solutions Architect

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The Amazon machine learning stack
PLATFORM SERVICES
APPLICATION SERVICES
FRAMEWORKS & INTERFACES
Caffe2 CNTK
Apache
MXNet
PyTorch TensorFlow Torch Keras Gluon
AWS Deep Learning AMIs
Amazon SageMaker AWS DeepLens
Rekognition Transcribe Translate Polly Comprehend Lex

3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Amazon Transcribe
A u t o m a t i c s p e e c h r e c o g n i t i o n
Support for
telephony audio
Timestamp
generation
Intelligent punctuation
and formatting
Recognize multiple
speakers *
Custom
vocabulary *
Multiple
languages
* Coming soon

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Amazon Translate
N a t u r a l a n d f l u e n t l a n g u a g e t r a n s l a t i o n ( b a s e d o n n e u r a l n e t w o r k s )
Real-time
translation
Batch analysis Automatic language
recognition
Low cost

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Amazon Comprehend
N a t u r a l l a n g u a g e p r o c e s s i n g
Entities
Key Phrases
Language
Sentiment
Amazon
Comprehend

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Information Bots
Education
Accessibility
Knowledge Management
Voice of Customer
Applications
Customer Service/
Call Centers
Enterprise
Digital Assistant
Semantic Search
Captioning Workflows
LocalizationPersonalization
Common Use Cases for Language Services

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AWS Lambda
Amazon S3
Amazon
Athena
Media Input
Amazon
QuickSight
Amazon
Comprehend
Typical pipeline
Amazon
Translate

8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Demo – Amazon Transcribe & Amazon Comprehend
Submit
Transcribe
Job
Wait for
Job
Get
Transcript
Detect
Entities
Write
HTML
Wrapper

10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Amazon Translate
1. Translate.translateText({
2. "Text": 'Hello world',
3. "SourceLanguageCode": 'en',
4. "TargetLanguageCode": 'es'
5. }, function(err, data) { ... });

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Demo – Mix in Amazon Translate
Submit
Transcribe
Job
Wait for
Job
Get
Transcript
Detect
Entities
Write
HTML
Wrapper
Translate
Subtitles
Write
Subtitles

13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved
What does the HTML look like?
1. <video controls id="vplayr">
2. <source src=”....mp4" type="video/mp4">
3. <track kind ="subtitles" label="English" srclang="en-us"
src=”..._en.vtt">
4. <track kind ="subtitles" label="Spanish" srclang="es"
src=”..._es.vtt">
5. This browser does not seem to support the video element.
6. </video>

14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved
What is WebVTT?
• Web Video Text Tracks format
• https://www.w3.org/TR/webvtt1/
• “Borrows” from SRT (SubRip Subtitles)
1. 2
2. 00:00:08.490 --> 00:00:11.000
3. Europa están convocando a ejecutivos de
4. facebook
5.
6. 3
7. 00:00:11.590 --> 00:00:14.000
8. para responder preguntas sobre si los
9. datos

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