Open AccessFrom Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
Author(s) -
Krtin Kumar,
Peyman Passban,
Mehdi Rezagholizadeh,
Yiusing Lau,
Qun Liu
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i10.21340
Subject(s) - computer science , embedding , machine translation , word (group theory) , word embedding , natural language processing , artificial intelligence , context (archaeology) , artificial neural network , task (project management) , key (lock) , language model , speech recognition , mathematics , paleontology , geometry , management , economics , biology , computer security
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