Translation API


Translation API

Reverie's Translation is a neural machine translation REST API developed for localizing the contents from English to Indic languages. Using the Translation API, you can either localize a single sentence or multiple sentences in a fraction of time.

What is Content Localization?

Content Localization is the process of adapting the original content to a new target audience. The localization process requires more effort and skill than translation (e.g., changing measurement systems, adding or changing words to help a local reader). The translated text has to be simple, easy to understand, and capture subtle nuances and cultural references.
The example below demonstrates how the Translation API will analyze the content's domain & context and localize it:
Source Content
Translated Content
Book 3 flight tickets to Delhi
दिल्ली के लिए 3 फ्लाइट टिकट बुक करें
I have read books written by Abdul Kalam.
मैंने अब्दुल कलाम की लिखी किताबें पढ़ी हैं।
In the above statements, the word Book is used in both the sentences; however, our Translation API will localize the word with context to domain/ industry.

Key Features

The Translation API has the following features that recognize it as the best in the content localization industry -
  • Automatic Language Detection - The Translation API will automatically detect the language used in your source text if you have missed or unaware of the source language code.
  • Highly Accurate & Continuously Learning - The Translation API solution is a continually trained engine that leverages machine learning to combine knowledge of grammar, and language structure that always learns from new and expanded datasets to produce more accurate translations for extensive use cases.
  • Customizable Solution - The API supports glossary customization offering high-quality machine translation for Indic language. It will allow you to define how your brand names, character names, and other unique terms get translated using the Customize Terminology feature. This solution is built with the collaboration of linguistic experts, engineers, and domain experts across multiple industries.
  • Cost-effective Scalability - Reverie's Translation fits within the business applications across multiple business verticals, and content flows seamlessly to increase productivity and efficiency. Localize the massive amount of data in a shorter interval with high quality and consistency. The solution is reliable and requires minimal administrative skill sets to maintain service levels.
  • Security & Deployment Flexibility - Security is one of the primary goals of our solution. The solution can be deployed either on-premises or in a private cloud that restricts data exposure.
  • Word-sense Disambiguation - The API will successfully identify the context of a word used in the source content and then translates accordingly. This feature will decrease the editorial work as it can recognize the meaning of the word and help the native language users consume the content in the right order.
Example -
Consider - Source Language = English & Target Language = Hindi
Source Content
Translated Content
1St main, 3rd St, St. Johns Road
फर्स्ट(1St) मेन, थर्ड(3rd) स्ट्रीट, सेण्ट. जोन्स रोड
Here, the word St appears thrice:
  1. 1.
    suffix for 1
  2. 2.
    Acronym for Street
  3. 3.
    Acronym for Saint
The intelligent solution will automatically analyze the statement’s context and translate it as First, 3rd street, and Saint appropriately.

Supporting Languages

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Supporting Domains

Domain ID
Domain Name
The Default domain. The model will localize the content irrespective of the domain.
The model trained to localize the travel industry terminologies accurately.
The model will help in localizing the content available in the Ecommerce domain.
The model is trained to translate the content in the Media & Entertainment domain.
The model will accurately translate the BFSI domain content
The model is specially built to translate the grocery industry terminologies into target languages.
The model will help in translating the content available in academic books.
The model will serve the healthcare industry.
Last modified 2mo ago