Internet der Dienste

Raabe, Oliver; Wacker, Richard; Oberle, Daniel; Baumann, Christian; Funk, Christian

doi:10.1007/978-3-642-17671-5_3

Cited by 1 publication

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“…A limitation of this approach should be noted: even corpus research cannot automate adjudication or provide an ontology of transcendental rules for producing “objective” decisions (by some truth standard). Since the 1970s, with the rise of computer engineering, various research groups (from Rave, Brinkmann, and Grimmer 1971 to Raabe et al 2012) have attempted to develop “subsumption automata.” These attempts failed because machines only work with predefined information structures, and cannot review information in a context of discordant views, semantic struggles, and the general relativity of ways to describe the world. Computers may be able to determine the occurrence of, but they cannot decide , social conflicts (see Kotsoglou 2014).…”

Section: Discussionmentioning

confidence: 99%

Computer-Assisted Legal Linguistics: Corpus Analysis as a New Tool for Legal Studies

Vogel¹,

Hamann²,

Gauer³

2018

Law soc. inq.

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Law exists solely in and through language. Nonetheless, systematical empirical analysis of legal language has been rare. Yet, the tides are turning: After judges at various courts (including the US Supreme Court) have championed a method of analysis called corpus linguistics, the Michigan Supreme Court held in June 2016 that this method “is consistent with how courts have understood statutory interpretation.” The court illustrated how corpus analysis can benefit legal casework, thus sanctifying twenty years of previous research into the matter. The present article synthesizes this research and introduces computer-assisted legal linguistics (CAL2) as a novel approach to legal studies. Computer-supported analysis of carefully preprocessed collections of legal texts lets lawyers analyze legal semantics, language, and sociosemiotics in different working contexts (judiciary, legislature, legal academia). The article introduces the interdisciplinary CAL2 research group (www.cal2.eu), its Corpus of German Law, and other related projects that make law more transparent.

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Section: Discussionmentioning

confidence: 99%