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The translator provides more than 40 languages and 100 language combinations. The list of language pairs developed by PROMT is constantly expanding. Language package is selected at purchase and affects the price of the solution.
For a complete list of language pairs, see Supported Languages.
Customization is critical for high quality machine translations. Customization provides additional context to generic translation models so that translations can reflect a client’s tone and unique terminology.
To get better translation quality with PROMT Neural Translation Server (PNTS) you can use the following:
Many companies have either terminology glossaries or the competence of employees to determine the correct translation of a particular term. In this regard the challenge of tuning the neural translation via integration of corporate glossary or direct dictionary editing is essential.
To meet this challenge PROMT developers have created a special technology – Neural Dictionary (ND). The technology is implemented in PROMT Neural Translation Server for both Windows and Linux versions (in Linux version you can use neural dictionaries, but the dictionaries can be created only in Windows-based desktop and server products).
SmartND and SimpleND
The Smart ND technology is available for several language pairs: English to Russian and Russian to English, English to French and French to English, English to German and German to English.This technology is able to take the context into account and put terms in the right gender, number and case. For other language pairs the SimpleND technology is used. With this technology the terms will be given in the same form as they were added to the dictionary.
Parallel data are original texts and their translations in a structured form, where each sentence in the original language corresponds to a sentence in the target language. When tuning the system with parallel data, it is trained so that it adapts the style and vocabulary of the data it was trained on. Parallel data effectively train the system to translate terminology or stylistic clichés that are domain-specific, such as in technical texts, legal or financial documentation.
To train PROMT Neural Translation Server on parallel data you need a special solution – PROMT Neural Translation Server – Training Addon (can be purchased separately).
PROMT Neural Translation Server – Training Addon is:
Training data
Install PROMT Neural Translation Server – Training Addon, upload your data and train the neural network model to translate highly specialized or industry-specific content.
System requirements
PNTS can be installed on a dedicated server (physical or virtual) or a desktop computer with the following characteristics:
COMPUTER/VM CHARACTERISTICS |
|||
Neural translation module operation mode |
CPU |
CPU |
GPU |
Type pf processor (CPU) |
Intel Core i9 (or higher), Xeon E5 (or higher), |
||
Number pf processor cores |
8 |
16 |
16 |
Discrete video card (graphics accelerator, GPU) |
N/A |
OS-compatible CUDA 12 supported graphic processor(GPU) with a minimum of 8 GB** dedicated memory |
|
RAM |
32 GB** |
||
Disk space |
100 GB*** |
||
TECHNICAL LIMITATIONS |
|||
Number of neural models used simultaneously |
up to 2 |
up to 4 |
Depending on the amount of video memory* |
Estimated speed of document translation with one model |
3 pages per minute |
5 pages per minute |
90 pages per minute |
* in GPU mode with default settings each model (translation direction) requires 2 GB of video memory. The model is loaded into memory when translation in the corresponding translation direction starts, and it is unloaded automatically after 10 minutes of inactivity in the translation directions provided by this model. The latest version of the driver for the corresponding OS must be installed on the server. Working with vGPU is supported only in Virtual Dedicated Graphics Acceleration mode (vDGA, also known as GPU passthrough).
** for up to 200 users and up to 8 neural models working simultaneously. For more users or neural models, please contact PROMT Company for system requirements.
*** additional disk space may be required, depending on the amount of files stored by users on the server.
**** for configurations that allow users to work through the web interface or PROMT Agent.
The following OS are supported:
– Microsoft Windows Server 2022;
– Microsoft Windows Server 2019;
– Microsoft Windows Server 2016;
– Microsoft Windows Server 2012 R2.
The OS shall include the following system libraries and components:
– Microsoft Internet Information Services 6.0 or higher
** If you plan to use Windows authorization, you must put the server in the same domain as the users (or in a domain that has trust relationships with user domains).
COMPUTER/VM CHARACTERISTICS |
|||
Neural translation module operation mode |
CPU |
CPU |
GPU |
Type of processor (CPU) |
Intel Core i9 (or higher), Xeon E5 (or higher), |
||
Number of processor cores |
8 |
16 |
16 |
Discrete video card (graphics accelerator, GPU) |
N/A |
OS-compatible CUDA 12 supported graphic processor(GPU) with a minimum of 8 GB** dedicated memory |
|
RAM |
32 GB** |
||
Disk space |
100 GB*** |
||
TECHNICAL LIMITATIONS |
|||
Number of neural models used simultaneously |
up to 2 |
up to 4 |
Depending on the amount of video memory* |
Estimated speed of document translation with one model |
3 pages per minute |
5 pages per minute |
90 pages per minute |
* in GPU mode with default settings each model (translation direction) requires 2 GB of video memory. The model is loaded into memory when translation in the corresponding translation direction starts, and it is unloaded automatically after 10 minutes of inactivity in the translation directions provided by this model. The latest version of the driver for the corresponding OS must be installed on the server. Working with vGPU is supported only in Virtual Dedicated Graphics Acceleration mode (vDGA, also known as GPU passthrough).
** for up to 200 users and up to 8 neural models working simultaneously. For more users or neural models, please contact PROMT Company for system requirements.
*** additional disk space may be required, depending on the amount of files stored by users on the server.
**** for configurations that allow users to work through the web interface or PROMT Agent.
The following OS are supported:
– Ubuntu 20.04/22.04/24.04;
– Debian 10/11;
– AstraLinux SE 1.7/1.8;
– Alt Linux 10;
– RED OS 7.3/8.
The OS shall include the following system libraries and components:
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