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Elastic Maps and Word Embeddings

12/8/2018

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Recently for a class in Machine Translation I did another sort of manifold learning type task.

The premise of the problem was this: Using Google's Word2Vec you can take a sentence and learn "word embeddings", or N-dimensional euclidean vectors, that are supposed to encode the meaning of each word. Similar words should be embedded in similar places. What if you do this for two translations of a text? Can you use the word embeddings in one language to predict the embeddings in another?

The answer is a solid sorta.

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    Hi, I'm Billy, a PhD student studying Math.

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  • ROS/Gazebo Tutorial
    • Lesson 1: Set-up
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