Diachronic Language Models
Kursbeschreibung
| Studiengang | Modulkürzel | Leistungs- bewertung |
|---|---|---|
| BA-2010 | AS-CL | 8 LP |
| BA-2010[100%|75%] | CS-CL | 6 LP |
| BA-2010[50%] | BS-CL | 6 LP |
| BA-2010[25%] | BS-CL | 4 LP |
| Master | SS-CL, SS-TAC | 8 LP |
| Dozenten/-innen | Wei Zhao |
| Veranstaltungsart |
|
| Sprache | English |
| Erster Termin | 17.10.2023 |
| Zeit und Ort | Dienstags, 15:15-16:45, INF 325 / SR 24 |
| Commitment-Frist | tbd. |
Teilnahmevoraussetzungen
Leistungsnachweis
- Active Participation
- Presentation
- Term Paper Writing
Inhalt
The rise of large language models such as ChatGPT marks a moment that seems to blur the boundary between artificial and human intelligence. Such language models excel at comprehending human language, and provide assistance to individuals in many text works. In this seminar, we will delve into the domain of large language models, with a particular focus given to diachronic models. These models require the ability to understand the development of human language, including both the past and the present, as well as the changes that occur over time. To commence this exploration, we will first look into the development of human language, namely language change and variation over time. After that, we will explore the machine learning methodologies employed to develop diachronic language models. Lastly, we will examine the implications of these models across research fields, including historical linguistics, natural language generation and social sciences.
Course resources are available at https://github.com/andyweizhao/diaclms.
