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Corpus Linguistics And The Law: Extending The Field From A Statistical Perspective, Stefan Th. Gries Sep 2021

Corpus Linguistics And The Law: Extending The Field From A Statistical Perspective, Stefan Th. Gries

Brooklyn Law Review

During the last 5–10 years, corpus-linguistic applications have slowly become more widespread in matters of legal interpretation; specifically, we see more court cases in which corpus-linguistic data are brought to bear on the (original) ordinary/public meaning of expressions in legal texts (in briefs and judicial opinions), but also more academic research focusing on if/how corpus-linguistic methods can shed light on the plain/ordinary meaning of words in a legal text.While this development is welcome, it also comes with shortcoming/risks, some of which are now hotly debated in recent and forthcoming law review articles. In particular, there is a whole family of …


Big Data And Accuracy In Statutory Interpretation, Brian G. Slocum Sep 2021

Big Data And Accuracy In Statutory Interpretation, Brian G. Slocum

Brooklyn Law Review

Scholarship is increasingly devoted to improving the “accuracy” of statutory interpretations, but accuracy is a contingent concept dependent on interpretive perspective. If, for instance, a scholar focuses on the language production of the legislature, she may seek to improve the methodology of statutory interpretation through a more sophisticated understanding of the legislative process. Thus, the scholar may argue that one can assess the reliability of the different types of legislative history by focusing on the actors and processes that produce them. Conversely, a scholar might focus on the language comprehension of some speech community, such as the one comprised of …


Hypothesis Testing Ordinary Meaning, Daniel Keller, Jesse Egbert Sep 2021

Hypothesis Testing Ordinary Meaning, Daniel Keller, Jesse Egbert

Brooklyn Law Review

Corpus linguistic tools promise to make determinations of the ordinary meaning (OM) of a word or phrase in a statute more objective, replicable, and transparent. However, significant questions remain as to how corpora may best be employed in the process of determining OM. In this paper, we argue that objectivity, replicability, and transparency are bolstered when legal practitioners take a hypothesis testing approach to determining ordinary meaning. In this approach, the corpus (a large collection of authentic texts) is treated as a sample of data which the practitioner may use to draw inductive inferences about the meaning of the term …


What Counts As Data?, Anya Bernstein Sep 2021

What Counts As Data?, Anya Bernstein

Brooklyn Law Review

We live in an age of information. But whether information counts as data depends on the questions we put to it. The same bit of information can constitute important data for some questions, but be irrelevant to others. And even when relevant, the same bit of data can speak to one aspect of our question while having little to say about another. Knowing what counts as data, and what it is data of, makes or breaks a data-driven approach. Yet that need for clarity sometimes gets ignored or assumed away. In this essay, I examine what counts as data in …