Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 69 · DO #4777 · 231_Rogers_Bx5FF27_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Correspondence - NRC Comm. on Germplasm, 1977
Digital Object
DO #4777, page 69
Collection-level dates
1948–1977
Open PDF at page 69 ↗

Page transcription

Plant Germplasm System and provide liaison among other scientists at their respective locations. Some of the representatives of each technical committee are members of the ARS Plant Germplasm Coordinating Committee which is internally advisory to ARS. Several representatives of each technical committee are also members of the National Plant Germplasm Committee (NPGC). The NPGC also includes representation from the National Council of Commercial Plant Breeders and the Cooperative State Research Service.

These cooperative units, which comprise the National Plant Germplasm System, have a general mission of providing plant scientists with the germplasm needed to carry out their research. The research programs that are supported in this way are widely varied and include breeding new cultivars--for resistance to diseases, insects, smog injury, temperature, moisture, salinity, and other environmental stresses; for increased yield and quality; for ease of harvesting, better processing, and longer storage; for beautification, noise abatement, erosion control, and resistance to fire; and as sources of anti-cancer medicinals, analgesics, and industrial chemicals. The well-coordinated operation of the System, under its funding constraints, is evidenced by the reasonably good status of our present plant genetic resources propagated by seed.

Introduction of plant materials is accomplished through planned foreign and domestic explorations, by exchange with foreign scientists and agencies, and by contributions from traveling scientists. To set up an exploration, breeders, scientists or commodity groups send proposals through the State-Federal regional project structure (see Table 2) for review and possible funding by ARS. The Germplasm Resources Laboratory provides a national focal point and clearing house for exchange of plant germplasm with foreign countries. This laboratory also catalogs all incoming accessions, assigns Plant Introduction (P.I.) numbers, makes taxonomic identification, and distributes P.I. material to maintenance centers or other curators according to established regional crop priorities.