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Study on Semantic Transparency of Chinese Compounds Based on Word Embedding

机译:基于词嵌入的中国化合物语义透明度研究

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Based on word embeddings, this paper proposes an automatic calculation method for the semantic transparency of Chinese compounds and realizes the calculation of the semantic transparency of a large number of compounds. According to the experiment results, we find that the grammatical structure of Chinese compounds and the semantic relationship between compounds and its morphemes are vital factors affecting the semantic transparency of compounds. We prove that the semantic transparency of compounds with parallel grammatical structure is higher than that of compounds with other grammatical structures. There are two important semantic relationships between compounds with high semantic transparency and its internal morphemes: AB≈A≈B; AB≈A+B, by analyzing compounds with higher transparency.
机译:基于Word Embeddings,本文提出了一种自动计算方法,用于中国化合物的语义透明度,实现了大量化合物的语义透明度的计算。根据实验结果,发现中国化合物的语法结构和化合物之间的语义关系是影响化合物语义透明度的重要因素。我们证明,具有平行语法结构的化合物的语义透明度高于与其他语法结构的化合物的语义透明度。具有高语义透明度的化合物与其内部语素之间有两个重要的语义关系:AB≈Aátax≈b; ab≈a+ b,通过分析具有更高透明度的化合物。

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