Corpus-based evidence for approximating semantic transparency of complex verbs

Corpus-based evidence for approximating semantic transparency of complex verbs
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基于语料库的证据,用于近似复杂动词的语义透明度

DOI:
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发表时间:
2012
期刊:
影响因子:
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通讯作者:
Eva Smolka
Eva Smolka
中科院分区:
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文献类型:
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作者:
Heike Zinsmeister;Eva Smolka

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形态复杂的词对于其词根的意义具有从完全透明(即相似)到完全不透明(即不相似)的含义。德语的前缀动词和助词动词在标准德语中使用频率很高,因此是研究意义与基本动词的关联性影响的一种特别有用的手段。例如,助词动词auffinden(查找,定位)和abfinden(补偿,接受)从形态上派生自基本的finden(查找)。因此,虽然只有auffinden(找到,定位)也有相同的意思,但它们都与finden(找到)有相同的形式。语言学文献(Eisenberg,2004;Fleischer&Barz,1992;Olsen,1996)区分了前缀动词和助词动词,因为动词前缀在有限形式下与基础是分不开的(Sie befindet sich in X,她驻留在X中),而助词是自由语素,在有限形式下与动词词干分开(Sie findet Sich MIT X ab,‘She Accept X’)。除了这些形态句法上的差异外,这两种类型的动词派生在与基础的语义相似性方面也可能有所不同。语义相似性信息还不是CELEX 5(Baayen,Piepenbrock&Gulikers,1995)或dlexDB 6(Heister等人,2011)等词汇数据库的一部分。在接下来的内容中,我们认为
Morphologically complex words possess meanings that range from completely transparent (i. e. similar) to completely opaque (i. e. dissimilar) with respect to the meaning of their base word. German prefix and particle verbs are very productive and frequently used in standard German and are thus a particularly useful means by which to study the effects of relatedness of meaning to the base verb. For example, the particle verbs auffinden (‘find, locate’) and abfinden (‘compensate, accept’) are morphologically derived from the base finden (‘find’). They thus both share their form with finden (‘find’) though only auffinden (‘find, locate’) shares also its meaning. The linguistic literature (Eisenberg, 2004; Fleischer & Barz, 1992; Olsen, 1996) distinguishes between prefix and particle verbs in that verbal prefixes are inseparable from the base in finite forms (Sie befindet sich in X, ‘she resides in X’) whereas particles are free morphemes and separated from the verb stem in finite forms (Sie findet sich mit X ab, ‘she accepts X’). Besides these morphosyntactic differences, both types of verb derivations may vary with respect to the semantic similarity to the base. Semantic similarity information is not yet part of lexical databases like CELEX 5 (Baayen, Piepenbrock, & Gulikers, 1995) or dlexDB 6 (Heister et al., 2011). In the following, we argue that
DOI: 10.1026/0033-3042/a000029
发表时间: 2011-01-01
影响因子: 1.2
作者:
Heister, Julian;Wuerzner, Kay-Michael;Kliegl, Reinhold
通讯作者: Kliegl, Reinhold