【CS224n】Neural Machine Translation with Seq2Seq
1 Neural Machine Translation with Seq2Seq 1.1 Brief Note on Historical Approaches 传统的翻译系统是基于概率模型的，包括翻译模型和语言模型，并由此建立起基于词或短语的翻译系统。朴素的基于词的翻译系统没办法捕捉词的顺序关系；基于短语的翻译系统可以考虑输入和输出的短语序列，并且可以处理比基于单词的系统更复杂的语法，但仍然没
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相关文章
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