Translate

🌍 What is Amazon Translate?

Amazon Translate is a fully managed Neural Machine Translation (NMT) service that delivers high-quality, real-time language translation between 75+ languages.

✅ It uses deep learning models to provide accurate and context-aware translations for apps, websites, chat, and content pipelines.

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🚀 Use Cases

Use Case	Description
🌐 Website localization	Translate dynamic site content for global users
💬 Real-time chat translation	Cross-language messaging between users
📚 Document translation	Auto-translate product manuals, reports, articles
🛠️ Customer support	Translate helpdesk tickets and responses
🎙️ Multimedia subtitles	Use with Amazon Transcribe to subtitle videos
📦 Ecommerce product listings	Globalize catalogs and user reviews

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🧠 Key Features

Feature	Description
Neural Machine Translation	Context-aware, high-quality translations
Custom Terminology	Add brand-specific, domain-specific vocabulary
Batch Translation	Translate large files in S3 asynchronously
Real-time API	Low-latency translation for apps and websites
Language auto-detection	Detect the source language automatically
Secure by design	TLS encrypted; no data stored after translation

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🌐 Supported Languages

Supports 75+ languages, including:

• English (en), Hindi (hi), Tamil (ta), Telugu (te), Kannada (kn), Malayalam (ml)

• French, German, Spanish, Portuguese, Arabic, Chinese (zh), Japanese, Korean

• Russian, Ukrainian, Turkish, Polish, Vietnamese, Dutch, and more.

Full list: AWS Translate Supported Languages

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💵 Pricing (2024)

Service Type	Price
Real-time API	$15.00 per 1 million characters
Batch Mode	Same as real-time
Free Tier	2 million characters per month (12 mo)

🧠 Tip: You are billed per character, not per word.

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🧰 Sample Python Code (Boto3)

🔁 Real-time Translation Example

import boto3

translate = boto3.client('translate')

response = translate.translate_text(
    Text="Hello, how are you?",
    SourceLanguageCode="en",
    TargetLanguageCode="fr"
)

print(response['TranslatedText'])  # Bonjour, comment allez-vous ?

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🧩 Using Custom Terminology

Custom terminology helps maintain brand names, technical terms, etc., during translation.

response = translate.translate_text(
    Text="Welcome to OpenAI",
    SourceLanguageCode="en",
    TargetLanguageCode="de",
    TerminologyNames=["BrandTerms"]
)

print(response['TranslatedText'])

🧠 You must upload a CSV file containing source/target terminology pairs to use this.

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📁 Batch Translation via S3

Steps:

1. Upload source documents to S3.

2. Use start_text_translation_job() to initiate.

3. Translated files will be saved to output S3 bucket.

response = translate.start_text_translation_job(
    InputDataConfig={
        'S3Uri': 's3://my-input-bucket/text/',
        'ContentType': 'text/plain'
    },
    OutputDataConfig={
        'S3Uri': 's3://my-output-bucket/translated/'
    },
    DataAccessRoleArn='arn:aws:iam::123456789012:role/TranslateAccessRole',
    SourceLanguageCode='en',
    TargetLanguageCodes=['es']
)

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🔐 Security

Layer	Description
IAM	Granular permissions for translate:*
TLS Encryption	All data in transit is encrypted
No Data Stored	Amazon does not retain your content
VPC Endpoints	Supported via AWS PrivateLink

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🧱 Terraform IAM Example

resource "aws_iam_role" "translate_batch_role" {
  name = "translate-batch-role"

  assume_role_policy = jsonencode({
    Version = "2012-10-17",
    Statement = [{
      Effect = "Allow",
      Principal = {
        Service = "translate.amazonaws.com"
      },
      Action = "sts:AssumeRole"
    }]
  })
}

resource "aws_iam_role_policy" "translate_policy" {
  role = aws_iam_role.translate_batch_role.id
  policy = jsonencode({
    Version = "2012-10-17",
    Statement = [
      {
        Effect = "Allow",
        Action = [
          "s3:GetObject",
          "s3:PutObject"
        ],
        Resource = "arn:aws:s3:::your-bucket/*"
      }
    ]
  })
}

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🧩 Amazon Translate + Other AWS Services

Integration	Description
Amazon S3	Batch translation input/output
Amazon Lambda	Auto-translate text on upload
Amazon Comprehend	Translate → Sentiment detection
Amazon Transcribe	Transcribe → Translate for subtitle/voice
Amazon SNS	Notify when translation job is done

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✅ TL;DR Summary

Feature	Amazon Translate
Real-time Translation	✅ Yes
Batch S3 Translation	✅ Yes
Custom Terminology	✅ Yes
Auto Language Detection	✅ Yes
Text-to-Text Only	✅ Yes (no speech)
Free Tier	✅ 2 million characters/month (1st year)
Common Pairings	S3, Lambda, Transcribe, Polly
Language Support	✅ 75+

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