TLDR - I used multilingual unsupervised methods (MUSE) to train cross-lingual word embeddings for over 500 languages. I then used these embeddings to extract components of the phrase “wash your hands” from existing target language documents. This resulted in translations of “wash your hands” in 510 languages not currently supported in any public translation platform.
You might not know, but there are currently 7,117 languages spoken in the world . That’s right, languages. Not dialects, but living languages! However, much of the world’s digital media is available in only a couple dozen languages, and translation platforms like Google Translate support around 100 languages. This reality means that there are billions of people around the world that are marginalized due to a lack of timely access to information. The current coronavirus (COVID-19) pandemic has made this painfully clear, and it has stressed the need for immediate, rapid translation of health-related phrases (like “wash your hands” and “social distancing”) into the long tail of languages.
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Effective JavaScript
赫尔曼 (David Herman) / 黄博文、喻杨 / 机械工业出版社 / 2014-1-1 / CNY 49.00
Effective 系列丛书经典著作，亚马逊五星级畅销书，Ecma 的JavaScript 标准化委员会著名专家撰写，JavaScript 语言之父、Mozilla CTO —— Brendan Eich 作序鼎力推荐！作者凭借多年标准化委员会工作和实践经验，深刻辨析JavaScript 的内部运作机制、特性、陷阱和编程最佳实践，将它们高度浓缩为极具实践指导意义的 68 条精华建议。 本书共......一起来看看 《Effective JavaScript》 这本书的介绍吧!
