Apertium
Apertium is an open-source machine translation platform that provides free and customizable machine translation between related languages. It supports many language pairs and focuses on minority and under-resourced languages.
opensource
machine-translation
minority-languages
underresourced-languages
Apertium: Open-Source Machine Translation Platform
Free and customizable machine translation between related languages, supporting multiple language pairs with a focus on minority and under-resourced languages.
What is Apertium?
Apertium is an open-source platform for developing rule-based machine translation systems. It provides the engine, tools and data for translators to build machine translation systems between related languages and variants.
A key focus of Apertium is on minority, under-resourced languages where little training data is available. It allows the linguistic knowledge about the languages to be encoded in dictionaries and rules to translate between them. This makes it suitable for closely related languages and dialects.
Some of the key features and capabilities of Apertium include:
- Free and open-source software released under the GPL license
- Modular structure allowing customization for new language pairs
- Supports many popular language pairs out of the box
- Focuses on related languages translating between each other
- Shallow transfer between language pairs for quality and speed
- Morphological analysis of words for better disambiguation
- Active community of contributors and users
Overall, Apertium provides a free platform to build custom machine translation systems easily between related languages, without needing extensive parallel corpora. It brings machine translation capabilities to resource-poor languages.
Apertium Features
Features
- Rule-based machine translation
- Modular architecture
- Supports many language pairs
- Customizable translation workflows
- Open-source and free
Pricing
- Open Source
Pros
Free and open-source
Good for related language pairs
Customizable rules and workflows
Active community support
Lightweight and fast
Cons
Lower quality than statistical MT
Limited language pairs
Not suitable for unrelated languages
Requires expertise to customize rules
Lacks learning capabilities
Official Links
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