Search for: "Thomas Lee and Jesse Egbert"
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19 Jul 2022, 9:53 am
“BYU Law Welcomes Retiring Utah Supreme Court Justice Thomas Lee as Visiting Professor, Linguistics [read post]
13 Oct 2024, 1:16 pm
Thomas R. Lee (BYU Law, and former Justice on the Utah Supreme Court) and Prof. [read post]
24 Mar 2022, 9:28 am
I've long been interested in this subject, and was particularly pleased to have Justice Thomas Lee [read post]
17 Oct 2024, 4:32 am
What is the allure of LLM AI chatbots in the search for empirical evidence of ordinary meaning? Judge Newsom's two concurring opinions channel recent scholarship in developing four main selling points. And they advance those points as grounds for endorsing LLM AIs over tools of corpus linguistics. Our draft article presents our opposing view that corpus tools have the advantage notwithstanding—or even because of—the purported features of LLM AIs. We outline some key points below.… [read post]
15 Oct 2024, 4:32 am
Modern textualism is built on at least three central pillars. Textualists credit the ordinary meaning of the language of law because such meaning: (1) can reasonably be discerned by determinate, transparent methods; (2) is fairly attributable to the public who is governed by it; and (3) is expected to constrain judges from crediting their own views on matters of legislative policy. To fulfill these goals, textualist judges expected to show their work—to cite reliable evidence to support their… [read post]
14 Oct 2024, 5:01 am
More and more, judges are seeing the assessment of ordinary meaning as an empirical matter—an inquiry into the way legal words or phrases are commonly used by the public. This inquiry is viewed as furthering some core tenets of textualism. It views the assessment of the ordinary meaning of words as transparent, determinate, and constraining—much more so than a free-wheeling inquiry into the intent of the legislative body. For many years and for many interpretive questions, dictionaries… [read post]
18 Oct 2024, 4:32 am
In our previous four posts we've argued that LLM AIs should not be in the driver's seat of ordinary meaning inquiries. In so stating, we don't deny that AI tools have certain advantages over most current corpus tools: Their front-end interface is more intuitive to use and they can process data faster than human coders. These are two-edged swords for reasons we discussed yesterday. Without further refinements, the user-friendliness of the interface and speed of the outputs could cut… [read post]
16 Oct 2024, 4:32 am
A corpus linguistic study can produce datapoints on empirical questions of ordinary meaning—like the question in the Snell case on whether the installation of an in-ground trampoline falls within the ordinary meaning of "landscaping." But LLM AIs do not and cannot do so, for reasons developed in detail in our draft article. We highlighted some of the reasons for our conclusions in yesterday's post. But the problem is even bigger than we let on there. It's not just that AIs… [read post]
