OpenL Translate vs SYSTRAN translate

Struggling to choose between OpenL Translate and SYSTRAN translate? Both products offer unique advantages, making it a tough decision.

OpenL Translate is a Ai Tools & Services solution with tags like open-source, machine-translation, translation-engine, language-translation, rulesbased-translation, statistical-translation.

It boasts features such as Rule-based machine translation, Statistical machine translation, Customizable translation engines, Support for various language pairs, Translation memory management, Terminology management, Translation quality estimation, Web-based translation editor, REST API and pros including Open source and free, Customizable to specific domains/language pairs, Better quality than general MT for narrow domains, On-premise deployment option, Integration with other systems via API.

On the other hand, SYSTRAN translate is a Ai Tools & Services product tagged with translation, language, multilingual.

Its standout features include Supports over 140 language pairs for translation, Provides desktop applications, browser plugins and API access, Offers neural machine translation for more natural sounding translations, Allows batch translation of multiple documents, Integrates with CAT tools for translators, Customizable translation engines for domain-specific content, On-premise deployment options available, and it shines with pros like Wide language support, Flexible integration options, Customizable engines for improved accuracy, Batch processing saves time on large volumes, Desktop and browser-based access, Neural MT produces more fluent translations.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

OpenL Translate

OpenL Translate

OpenL Translate is an open source machine translation software platform that allows users to build, deploy and manage custom translation systems. It supports creating rules-based and statistical machine translation engines for various language pairs.

Categories:
open-source machine-translation translation-engine language-translation rulesbased-translation statistical-translation

OpenL Translate Features

  1. Rule-based machine translation
  2. Statistical machine translation
  3. Customizable translation engines
  4. Support for various language pairs
  5. Translation memory management
  6. Terminology management
  7. Translation quality estimation
  8. Web-based translation editor
  9. REST API

Pricing

  • Open Source

Pros

Open source and free

Customizable to specific domains/language pairs

Better quality than general MT for narrow domains

On-premise deployment option

Integration with other systems via API

Cons

Requires expertise to build custom engines

Less accurate than neural MT for general domains

Limited language pairs compared to general MT

Building high-quality engines can be time/resource intensive


SYSTRAN translate

SYSTRAN translate

SYSTRAN translate is a machine translation software that allows users to translate text between over 140 language pairs. It offers desktop applications, browser plugins, and API access for developers.

Categories:
translation language multilingual

SYSTRAN translate Features

  1. Supports over 140 language pairs for translation
  2. Provides desktop applications, browser plugins and API access
  3. Offers neural machine translation for more natural sounding translations
  4. Allows batch translation of multiple documents
  5. Integrates with CAT tools for translators
  6. Customizable translation engines for domain-specific content
  7. On-premise deployment options available

Pricing

  • Free
  • Subscription-Based
  • Pay-As-You-Go
  • Custom Pricing

Pros

Wide language support

Flexible integration options

Customizable engines for improved accuracy

Batch processing saves time on large volumes

Desktop and browser-based access

Neural MT produces more fluent translations

Cons

Accuracy still lags behind human translation

Neural MT only available for some languages

Customization requires technical expertise

On-premise deployment has high hardware requirements

Free version has limited features