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Semantic Representations of Rare Words in a Neural Probabilistic Language Model
Semantic Representations of Rare Words in a Neural Probabilistic Language Model
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机译:神经概率语言模型中稀有词的语义表示
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摘要
Systems and methods are disclosed for representing a word by extracting n-dimensions for the word from an original language model; if the word has been previously processed, use values previously chosen to define an (n+m) dimensional vector and otherwise randomly selecting m values to define the (n+m) dimensional vector; and applying the (n+m) dimensional vector to represent words that are not well-represented in the language model.
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