LinguaLibre

Difference between revisions of "Apps"

Applications gather notable external applications using LinguaLibre-produced audios. This includes web applications, mobile applications, and reuses.

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* '''Description:''' A web browser extension to translate (French) words into (French) Sign Language videos.
 
* '''Description:''' A web browser extension to translate (French) words into (French) Sign Language videos.
 
** '''Linguistic community:''' video authors.
 
** '''Linguistic community:''' video authors.
** '''Languages:''' French Sign Language ; User interface in [[:translatewiki:Translating:Lingua Libre SignIt|14+ languages]]
+
** '''Languages:''' French Sign Language ; User interface in [https://translatewiki.net/wiki/Translating:Lingua_Libre_SignIt 14+ languages]
 
** '''Year:''' 2019
 
** '''Year:''' 2019
 
* '''Technology:''' cross-browser web extension.
 
* '''Technology:''' cross-browser web extension.
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** '''Website:''' https://addons.mozilla.org/en-US/firefox/addon/lingua-libre-signit/
 
** '''Website:''' https://addons.mozilla.org/en-US/firefox/addon/lingua-libre-signit/
 
<br clear="all" />
 
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== Cat Is Smart (Chinese) ==
 
== Cat Is Smart (Chinese) ==
 
[[File:CFDICT Dictionary UI.png|thumb|400px]]
 
[[File:CFDICT Dictionary UI.png|thumb|400px]]

Revision as of 15:34, 21 August 2022

Draft
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This page is a work in progress.

Wiktionaries (multiple)

Occitan Gascon - French dictionary

Lingua Libre SignIt extension

LinguaLibre SignIt-all.png


Cat Is Smart (Chinese)

CFDICT Dictionary UI.png
  • Description: A multimedia, bilingual Chinese-English dictionary and adaptative learning system to learn Chinese.
    • Linguistic community: author.
    • Languages: Chinese.
    • Year: 2015
  • Technology: responsive web application.
    • Code: JS
    • Data: Chinese audio / Chinese word / pinyin / (pos) English .
    • Data sources: audio from Lingualibre, lexicographical data from hsk sources.
    • Repository: https://github.com/hugolpz/Cat-is-smart
    • Developer model: single author,l
    • License: MIT License.
  • Contact:


ChinoisSansFrontière.tw (Chinese)

  • Description: A multimedia, bilingual Chinese-French manual to learn traditional Chinese.
    • Linguistic community: author.
    • Languages: Chinese, French.
    • Year: 2021
  • Technology: responsive web application.
    • Code: JS
    • Data: Chinese texts, sentences, words, their pinyin, audio pronunciation and French.
    • Data sources: audio from Lingualibre, lexicographical data from author (Hugo Lopez).
    • Repository: https://github.com/hugolpz/csf
    • Developer model: single author.
    • License: Copyrighted.
  • Contact:

OpenEdx-hanzi (Chinese)

  • Description: A multimedia, bilingual Chinese-French application to learn how to write the most common Chinese characters.
    • Linguistic community: authors (Shih-chang Hsin, Miao Lin-Zucker).
    • Languages: Chinese, French.
    • Year: 2018
  • Technology: responsive application.
    • Code: JS
    • Data: Chinese audio / Chinese word / pinyin / (pos) English .
    • Data sources: audio from Lingualibre, lexicographical data from Shih-chang Hsin, Miao Lin-Zucker.
    • Repository: https://github.com/hugolpz/OpenEdX-hanzi
    • Developer model: single author.
    • License: MIT License.
  • Contact:

AlphaTiles (multiple)

  • Description: A flashcards, images based mobile application to study words of various minority languages
    • Linguistic community: mostly Americas.
    • Languages: various.
    • Year: ?
  • Technology: mobile application.
    • Code: JAVA
    • Data: L1 word, L1 image, L2 word, L2 audio.
    • Repository: https://github.com/AlphaTiles
    • Developer model: core team (90%), open source contributors (<10%).
    • License: MIT License, SIL authorship.
  • Contact:

Anki plugin

Paires Minimales

A website for browsing minimal pairs in French, based on the French Wiktionary and Lingua Libre pronunciations (via Commons' API).
https://pairesminimales.herokuapp.com/

Ladino translation and text-to-speech

Not using Lingualibre, but a vivid example of what we could do: machine learning-based text-to-speech.

See also