什么是双语词表征?
关于词表征(word representation) 的解释,可以参考博客《Deep Learning in NLP (一)词向量和语言模型》和ACL2010年的论文 Word representations: A simple and general method for semi-supervised learning。 ACL论文给出的解释是:
A word representation is a mathematical object associated with each word, often a vector. Each dimension’s value corresponds to a feature and might even have a semantic or grammatical interpretation, so we call it a word feature.
什么意思呢?简单说就一般我们对词语进行数值化,赋一个向量值。以求通过向量值的操作捕捉语言的特性。想简单些就是希望语义上