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BYU-Corpus of Early Modern English (BYU-COEME)

The BYU-Corpus of Early Modern English cover texts from 1475 – 1800 that were included in the Evans Bibliography, the Early English Books Online (EEBO), Eighteenth Century Collections Online (ECCO) corrected by the Text Creation Partnership (TCP) Evans Bibliography (University of Michigan).

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Corpus of State Conventions on the Adoption of the Constitution (COSCAC)

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Corpus of the Current US Code (COCUSC)

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Corpus of US Caselaw (CUSC)

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Law & Corpus Linguistics — Background

Corpus linguistics is an approach to language research that utilizes a principled collection of texts (i.e., a corpus) in order to better understand patterns of language use. Analysis of these patterns can produce insight into, among other things, the meaning of words and phrases. Linguists (and lexicographers) have long understood that corpora are a vastly superior guide to interpretation than native speaker intuition or even dictionaries. With advances in computer technology, the use of corpus linguistics for research has expanded dramatically. Legal scholars and judges have only recently begun to tap the potential of this method because most are unaware of its possibilities.

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Public Beta Version 3.00

Law & Corpus Linguistics UI

Law & Corpus Linguistics Interface

Build an interface that delivers essential corpus linguistics tools and incorporates more than 20 years of library interface design.

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Corpus of Founding Era American English (COFEA)

The Corpus of Founding Era American English (COFEA) was original conceived as a set of texts from the period 1765 - 1799.

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US Statutes at Large

Cover Page of Volume 1

Corpus of Early Statutes at Large (CESAL)

US Statues at Large

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Corpus of the Records of the Constitutional Convention (CORCC)

Max Farrand's The Records of the Federal Convention of 1787.

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Supreme Court

Corpus of Supreme Court Opinions of the United States (COSCO-US)

United State Supreme Court opinions, including dissents to denials of cert. Future sources to include are briefs, oral argument and enhances descriptive metadata through 2017 .

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