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Analyzed 1 day ago. based on code collected 3 days ago.

Project Summary

Apertium is an open-source machine translation platform, aimed at related-language pairs but expanded to deal with more divergent language pairs. The platform provides

1. a language-independent machine translation engine
2. tools to manage the linguistic data necessary to build a machine translation system for a given language pair and
3. linguistic data for a growing number of language pairs.

Apertium uses a shallow-transfer machine translation engine which processes the input text in stages, as in an assembly line: de-formatting, morphological analysis, part-of-speech disambiguation, shallow structural transfer, lexical transfer, morphological generation, and re-formatting.

Tags

c++ computational-linguistics computational_linguistics linguistics machine_translation morphological_analysis natural_language nlp part_of_speech translation

GNU Free Documentation License v1.2
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These details are provided for information only. No information here is legal advice and should not be used as such.

GNU General Public License v2.0 or later
Permitted

Commercial Use

Modify

Distribute

Place Warranty

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Sub-License

Hold Liable

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Distribute Original

Disclose Source

Include Copyright

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These details are provided for information only. No information here is legal advice and should not be used as such.

GNU General Public License v3.0 or later
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Use Patent Claims

Forbidden

Sub-License

Hold Liable

Required

Distribute Original

Disclose Source

Include Copyright

State Changes

Include License

Include Install Instructions

These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

C++
57%
XML
12%
Python
11%
13 Other
20%

30 Day Summary

Oct 4 2024 — Nov 3 2024

12 Month Summary

Nov 3 2023 — Nov 3 2024
  • 58 Commits
    Up + 14 (31%) from previous 12 months
  • 5 Contributors
    Down -4 (44%) from previous 12 months