SBE-UKRI: From Manual to Automatic: Scaling Syntactic Annotation for Historical Language C — NSF Award to University of Pennsylvan
Annotated corpora -- texts marked up with information about grammatical structures -- are transforming how researchers study language change over time. However, the high cost of manual annotation has limited the size of these corpora and the research questions that can be asked. This project addresses this problem by b
| Award title | SBE-UKRI: From Manual to Automatic: Scaling Syntactic Annotation for Historical Language C |
|---|---|
| Award ID | 2537480 |
| Awardee | University of Pennsylvania |
| City | PHILADELPHIA |
| State | PA |
| Amount obligated | $399,970 |
| Principal investigator | Seth Kulick |
| Program | GVF - Global Venture Fund, Linguistics |
| Start date | 09/15/2025 |
| Abstract | Annotated corpora -- texts marked up with information about grammatical structures -- are transforming how researchers study language change over time. However, the high cost of manual annotation has limited the size of these corpora and the research questions that can be asked. This project addresses this problem by building on and extending recent major advances in natural language processing (NLP) (a branch of artificial intelligence (AI)) to efficiently create very large collections (hundred |
| Source | NSF Awards |
$799/mo
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