File:Apertium_logo.svg · Wikimedia Commons · See Wikimedia Commons
Apertium
Sign in to saveApertium is a free/open-source rule-based machine translation platform. It is free software and released under the terms of the GNU General Public License.
Apertium is a free software platform that uses rules (rather than artificial intelligence) to automatically translate text from one language to another. Because it's open-source and freely available, anyone can use it, study how it works, or improve it for translating between different languages.
AI-generated from the Wikipedia summary — may contain errors.
Key facts
- Software.name
- Apertium
- Software.logo
- Apertium logo.svg
- Software.logo_size
- 250px
- Software.screenshot
- Apertium-tolk.png
- Software.screenshot_size
- 150px
- Software.caption
- Apertium-tolk, a simple desktop user interface for Apertium that translates as the user types
- Software.ver layout
- simple
- Software.programming language
- C++
- Software.operating system
- POSIX compatible and Windows NT (limited support)
- Software.language
- 35 languages, see below
- Software.genre
- Rule-based machine translation
- Software.license
- GNU General Public License
via Wikipedia infobox
Wikidata facts
- Official website
- www.apertium.org
- Image
- Apertium-tolk.png
Show 4 more facts
- Commons category
- Apertium
- software version identifier
- 3.9.12
- source code repository URL
- github.com/apertium
- issue tracker URL
- github.com/apertium/issues
Sources (8)
via Wikidata · CC0
~11 min read
Article
11 sectionsContents
- Overview
- History
- Translation methodology
- Supported languages
- See also
- Notes
- References
- External links
- End-user services and software
- Online translation websites
- Offline applications
Apertium is a free/open-source rule-based machine translation platform. It is free software and released under the terms of the GNU General Public License.
== Overview == Apertium is a transfer-based machine translation system, which uses finite state transducers for all of its lexical transformations, and Constraint Grammar taggers as well as hidden Markov models or Perceptrons for part-of-speech tagging / word category disambiguation. A structural transfer component is responsible for word movement and agreement; most Apertium language pairs up until now have used "chunking" or shallow transfer rules, though newer pairs use (possibly recursive) rules defined in a Context-free grammar.