29 October 2018
How to Learn Cross-Lingual Mappings Without Supervision
To accurately translate between languages, one typically requires a dictionary. This principle applies to machines as well. Currently, these dictionaries take the form of linear mappings, transitioning from continuous word representations—commonly known as word embeddings—in one language to equivalent word representations in another. A fundamental initial step in learning these mappings is to acquire word embeddings for both the source and target languages. For those interested in understanding how to learn these monolingual embeddings, further information is available on word2vec, the most commonly used technique in this area.
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