德语助词动词和派生词缀的语义透明度和效率探讨

IF 0.6 Q3 LINGUISTICS
I. Stupak, R. Baayen
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引用次数: 0

摘要

本研究探讨了形态生产力与语义透明度之间的关系。使用分布语义,我们比较了使用粒子的德语单词形成和派生单词形成。我们观察到派生后缀,而不是助词,倾向于对其载体词做出强大的独立语义贡献。在二维t-SNE映射中,复杂词表现为词缀聚类,而不是粒子聚类。此外,后缀词的语义向量从其基词可以预测,其准确性高于助词动词。对于助词动词,而不是附加动词,复杂词集中的语义相似性与类型的数量呈负相关。此外,仅对于助词动词,观察到的类型越多,观察不到的类型的概率就会降低。我们认为,助词动词主要起到标记的拟声功能,从而产生相对特殊的语义向量。相反,共享派生词缀的词在语义空间中形成不同的簇,同时与它们的基词保持强烈一致的语义关系。这使得这些词不仅可以作为标签,而且可以在语篇中发挥回指功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An inquiry into the semantic transparency and productivity of German particle verbs and derivational affixation
This study addresses the relation between morphological productivity and semantic transparency. Using distributional semantics, we compare German word formation using particles with derivational word formation. We observed that derivational suffixes, but not particles, tend to make strong independent semantic contributions to their carrier words. In two-dimensional t-SNE maps, complex words show clustering by affix, but not by particle. Furthermore, the semantic vectors of suffixed words are predictable from their base words with higher accuracy than is possible for particle verbs. For particle verbs, but not affixed verbs, semantic similarity within the set of complex words correlated negatively with the number of types. Furthermore, only for particle verbs, a greater number of observed types predicted a reduced probability of observing unseen types. We propose that particle verbs primarily serve the onomasiological function of labeling, resulting in relatively idiosyncratic semantic vectors. By contrast, words sharing derivational affixes form distinct clusters in semantic space while maintaining strong and consistent semantic relations with their base words. This enables these words to serve not only as labels, but also allows them to be used with an anaphoric function in discourse.
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来源期刊
Mental Lexicon
Mental Lexicon LINGUISTICS-
CiteScore
1.50
自引率
0.00%
发文量
11
期刊介绍: The Mental Lexicon is an interdisciplinary journal that provides an international forum for research that bears on the issues of the representation and processing of words in the mind and brain. We encourage both the submission of original research and reviews of significant new developments in the understanding of the mental lexicon. The journal publishes work that includes, but is not limited to the following: Models of the representation of words in the mind Computational models of lexical access and production Experimental investigations of lexical processing Neurolinguistic studies of lexical impairment. Functional neuroimaging and lexical representation in the brain Lexical development across the lifespan Lexical processing in second language acquisition The bilingual mental lexicon Lexical and morphological structure across languages Formal models of lexical structure Corpus research on the lexicon New experimental paradigms and statistical techniques for mental lexicon research.
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