Lingvanex Tranalator

Lingvanex Translator

Translate: Text, Voice, Camera

Follow these steps to complete your Lingvanex installation:

  • 1

    Run the Lingvanex installer

    Save the Lingvanex file

    Open the Lingvanex file to install

    Click the downloaded file on the bottom-left corner of your browser.

    Click Save File when prompted. Go to Downloads on the top-right corner to open the setup file.

    Choose Save File when prompted, then click OK.

    Go to Downloads on the top-right corner and click on the downloaded file.

    Go to your Downloads folder and click on the downloaded file.

  • 2

    Confirm the installation

    Open the Lingvanex file to install

    Click Allow on the system dialog window to approve the start of your Lingvanex installation.

    Go to Downloads on the top-right corner to open the setup file and approve the installation.

    Click Yes on the system dialog window to approve the start of your Lingvanex installation.

  • 3

    Follow setup instructions

    Click the button in the installer window to begin installation.

Click this file to start installing Lingvanex
Click this file to start installing Lingvanex

Data Studio

Create your own machine translation
system for any domain and business task

Machine Translation Toolkit

Data Preparation

Parse, filter, markup parallel and
monolingual corpora. Create blocks for
test and validation data

Model Training

Train custom neural architecture with
parallel job lists, GPU analytics and
quality estimation

Deployment

When model training finishes it can be
automatically deployed as API or
available to download for offline use

From Novice to Expert

 Dashboard combines the latest linguistic and statistical techniques that are used to train
the software to customer domains and improve translation quality. In the picture below: on the right
is a list of tasks and GPU servers on which models are being trained. In the center are the parameters
of the neural network, and below are the datasets that will be used for training.

Work with Parallel Data

Working on a new language began with datasets preparation. The dashboard has many predefined
datasets from open sources such as Wikipedia, European Parliament, Paracrawl, Tatoeba and others.
To reach an average translation quality, 5M translated lines are enough..

Dictionary and Tokenizer Tuning

Datasets are lines of text translated from one language to another. Then the tokenizer splits the text
into tokens and creates dictionaries from them, sorted by the frequency of meeting the token. The
token can be either single characters, syllables, or whole words. With Lingvanex Data Studio you can
control the whole process of creating SentencePiece token dictionaries for every language separately.

Data Filtering and Quality Estimation

More than 20 filters are available to filter parallel and monolingual corpora to get the quality dataset
from opensource or parsed data. You can markup named entities, digits and any other tokens to train
system to leave some words untranslated or translated in specific way..

Create your own Translation System
in a DAY

Contact us now

And get free access to our solutions!

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