DOAJ Open Access 2021

What Would Cicero Write?

Todd G. Cook, TGC

Abstrak

Recent developments in Transformer language models now allow users to predict the probability of different sentences and to predict missing words more accurately than before. This new information and perspective can be used to form judgments on novel textual emendations and to further quantify existing historical editorial judgments. We examine the importance of analyzing an author’s corpus, and the impact of the Good-Turing theory of frequency estimation when predicting missing words. We will also outline some of the limits of what Transformer language models can do, and how to practically evaluate them.

Penulis (1)

T

Todd G. Cook, TGC

Format Sitasi

TGC, T.G.C. (2021). What Would Cicero Write?. https://doi.org/10.13135/2532-5353/6523

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.13135/2532-5353/6523
Informasi Jurnal
Tahun Terbit
2021
Sumber Database
DOAJ
DOI
10.13135/2532-5353/6523
Akses
Open Access ✓