Slate™ Corpus Edition

Slate Corpus Edition Logo

Slate™ Corpus Edition is an application to prepare translation memories for conversion to engines on other Slate products. There are no utilities to build engines or connect to CATs.

Options
Features
Requirements
Open Source Components

Perpetual License

You purchase Slate under a perpetual, royalty-free end-user-license agreement (EULA) to use the Slate software on your machines. There are no subscriptions or hidden fees. When your needs grow, just buy another license for a new machine.

Languages

SlateMT supports any combination of 33 languages and the number of supported languages keeps growing. That means your SlateMT application with your TMs can translate between 1,056 language pairs with more language pairs to come.

Multi-Platform

Your single-user license allows you to install your SlateMT product on MS Windows, Linus or MacOS. If your product allows multiple activations, you can install and activate each instance on different operating systems.

Maintenance Updates

Software maintenance updates, occasionally with new features, are available any time. Just sign-in to our website and download the newest update from your customer dashboard.

Technical Support

Your Slate purchase includes access to technical support via our online support portal, https://support.slate.rock.

Scripting Automation

SlateMT include scripting tools that help you automate many complicated tasks. Run a command line from terminal or integrate the commands into your third-party application to efficiently process large projects.

Slate Samples

Samples include translation memories and other files to help you learn and practice.

Organize TMs

Organize translation memories by client, subject matter and project type in SlateMT‘s inventory. SlateMT cleans and prepares them to build customized machine translation engines.

Operating Systems

    • Microsoft Windows, 64-bit
      • Windows 7 64-bit with Service Pack 1
      • Windows 8 or 8.1 64-bit
      • Windows 10 64-bit
    • Linux, x86_64 kernel version 3.2+
      • Ubuntu 16.04 or newer (other Debian-based on request)
      • CentOS/RHEL-based (other RPM-based on request)

Hardware

    • Processor (CPU): x86-64/x64 quad-core processor at 2.5 GHz or faster
      • Intel Core i3 (i7 4th gen or newer strongly recommended)
      • AMD Athlon 64
    • RAM (memory): 4 GB, 8 GB strongly recommended (16+ GB ideal)
    • System Hard Disk (program storage): 2 GB consumed by installation files
    • High-Performance Disk Space (workspace): 40+ GB of free space (250 GB or more strongly recommended)

Translation Memories

    • Personalized engine: 70,000 to 150,000 sentence segments.
      • One full-time translator’s production for 3 to 4 years is sufficient to create a personalized engine.
    • Customized engine: 200,000 to 500,000 sentence segments.
      • An engine for a team of translators requires more.
    • There is no upper limit.
      • Too many segments increases the risk of degrading the engine from peak performance.

Open Source Licenses

SlateMT uses a collection of software components written by many authors and contributors, on many different projects. We distributed these components under their respective open source licenses. They, in turn, can have parts that come from different sources and/or are licensed differently. The source code and licensing for these are at these links:

* slatetoolkit (scripts under AGPL v3, plus files from Moses and MGIZA++)
* moses (mostly LGPL v2.1 or later)
* MGIZA++ (mostly GPL v2 or later)
* European Parliament corpus (public domain)
* GNU sort.exe, split.exe, gzip and bzip* (various LGPL/GPL)

Where the license is listed as “…or later,” you have permission to redistribute under that license version or, at your option, later versions of that same license.

Perl Runtime

Perl is a free open source runtime environment with supporting core components. (includes: Date::Format)

Python Runtime

Python is a free open source runtime environment and supporting core components. (includes pip, pywin32, six, numpy, nltk, lxml, regex, polib, jieba, PyArabic, tinysegmenter3, wxPython)