2016
DOI: 10.1075/lic.16.1.04lev
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Verbs of letting in Germanic and Romance languages

Abstract: This study compares eleven verbs of letting in six Germanic and five Romance languages. The aim of this paper is to pinpoint the differences and similarities in the semasiological variation of these verbs, both across and within the two language groups they represent. The results of a Multidimensional Scaling analysis based on a parallel corpus of film subtitles show that the verbs differ along several semantic dimensions, such as letting versus leaving, factitive versus permissive causation, as well as modali… Show more

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Cited by 19 publications
(6 citation statements)
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“…42,66,67 In particular, we focus on the wide class of compressors that consist of an LM and an entropy coder: the LM generates predicted probabilities 𝑝𝑝�𝑡𝑡 𝑁𝑁 = 𝑠𝑠 𝑗𝑗 |𝑡𝑡 1 𝑁𝑁−1 � for the upcoming symbols given the past that are then taken by the entropy coder to perform compression by coding symbols with code length − log 𝑝𝑝�𝑡𝑡 𝑁𝑁 = 𝑠𝑠 𝑗𝑗 |𝑡𝑡 1 𝑁𝑁−1 �. 7,68 Leveraging available corpora and multilingual text collections [69][70][71][72] , we compiled a database of parallel texts comprising a large variety of different text types, e.g. religious texts, legalese texts, subtitles for various movies and talks, and machine translations.…”
Section: Estimating Entropy As a Measure Of Average Prediction Comple...mentioning
confidence: 99%
“…42,66,67 In particular, we focus on the wide class of compressors that consist of an LM and an entropy coder: the LM generates predicted probabilities 𝑝𝑝�𝑡𝑡 𝑁𝑁 = 𝑠𝑠 𝑗𝑗 |𝑡𝑡 1 𝑁𝑁−1 � for the upcoming symbols given the past that are then taken by the entropy coder to perform compression by coding symbols with code length − log 𝑝𝑝�𝑡𝑡 𝑁𝑁 = 𝑠𝑠 𝑗𝑗 |𝑡𝑡 1 𝑁𝑁−1 �. 7,68 Leveraging available corpora and multilingual text collections [69][70][71][72] , we compiled a database of parallel texts comprising a large variety of different text types, e.g. religious texts, legalese texts, subtitles for various movies and talks, and machine translations.…”
Section: Estimating Entropy As a Measure Of Average Prediction Comple...mentioning
confidence: 99%
“…For example, the quantitative token-based corpus analysis in van der Auwera et al (2012) demonstrates that Dutch is intermediate between English and German with regard to impersonalization strategies, whereas their analysis at the level of types does not allow for such a conclusion. In a similar vein, the author's own study (Levshina 2016) shows that the functions of verbs of "letting" in Romance and Germanic languages are distributed in a way that suggests the presence of an areal North-South continuum. The differences between the neighboring languages are quantitative, rather than qualitative, and can be pinned down only at the level of tokens.…”
Section: Introductionmentioning
confidence: 85%
“…French laisser, Spanish dejar). In addition, these verbs have developed various more language-specific uses (Viberg 2009;see Rawoens 2008 andLevshina 2016 for a detailed discussion of the causative uses). The use of the verb of letting as a sensory copula is very language-specific.…”
Section: Auditory Sensory Copulasmentioning
confidence: 99%