TABLE OF CONTENTS
1. Introduction to Amazon Translate2. Use Cases for Amazon Translate3. Amazon Translate supports the following languages Steps and code to translate the data5. Lambda Code to Translate the Text and Store the Translated Files in S36 Final Code7. Conclusion8. CloudThat 9. FAQs1. Introduction to Amazon Translate
Many organizations want to be understood worldwide and have to translate text on a large scale. Many companies want to grow their businesses and make sure that the text is available in multiple languages to ensure everyone understands it. Amazon Translate is the best solution if you need to translate text for your website, provide localized text in our software applications, or provide real-time translations. Amazon Translate can accept text in one language and convert it to text in other languages. Amazon Translate allows you to quickly and accurately translate the text.
Amazon Translate is a neural-machine translation service that delivers high-quality, customized, and affordable language translations. Neural machine translation, a type of automated language translation, uses deep learning models to produce more accurate and natural sounding translations than standard math or rule-based translation algorithms.
Amazon Translate allows you to create local content, such as apps and websites, for different users, and easily translate important texts for analysis. It also effectively facilitates interaction between users.
2. Use Amazon Translate for Cases
Amazon Translate can enhance multilingual customer experience
Translate company-generated content, such as meeting minutes and technical reports, articles, or publications.
Translate interpersonal communications like email, chat in-game, and customer service chat to allow customers and employees to communicate in their preferred languages.
Amazon Translate and other AWS Services allow language-independent processing
Amazon Comprehend allows you to extract named entities, sentiments and key phrases from unstructured texts such as social media feeds using Amazon Comprehend.
Amazon Transcribe allows you to create subtitles and live captioning.
Amazon Polly converts translated content to audio
Amazon S3 is a repository for translations of documents.
Easily integrate workflows using AWS Lambda and AWS Glue.
3. Amazon Translate supports the following languages
Amazon Translate doesn’t charge for translations where the target language and source language are the same.
Amazon Translate supports translation between 75 languages: Afrikaans (Arabic, Marathi (Persian), Farsi(Persian), Pashto), Polish, Portuguese, Portuguese-Portugal), Punjabi (Slovak), Serbian (Slovak), Serbian), Sinhala (Portugal), Slovenian), Slovenian (Slovak), Slovenian), Slovenian (Mexico), Swahili (Traditional), Swahili (Slovak), Thai, Tamil, Telugu, Hausa, Hindi, Malay, Maltese, Malay, Malay, Malay, Malay, Malay, Malay, Malay, Malay, Malayalam and Welsh
4. Steps and code to translate the data
This article will convert data from a text file to different languages. S3 triggers will be used to automate translation from beginning to end. This article will provide a detailed overview.
Create a Lambda Role with access to the S3, Cloud Watch, Amazon Translate and Amazon Translate services
Amazon will allow you to create an S3 bucket to be used as an input bucket and an output bucket
Create a Lambda function with python to trigger Amazon Translate when a new.txt file is added to the input S3 bucket.
Set up a Trigger for S3
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