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 99 · 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 99
Collection-level dates
1948–1977
Open PDF at page 99 ↗

Page transcription

-2-

museum (herbarium) functions are the best documentary institutions in the world. By combining systematic research with the library and herbarium activities, we are today aware of the destruction of our environment.

Botanical gardens and arboreta are also engaged in a function that is highly important in conservation, and that is seed exchange. Most of these institutions have certain types of plants they are willing to share with other institutions, and sometimes, these seed exchanges are the only place in the world to find some particularly valuable or interesting plant. Usually, the institutions publish "index semina" which is a catalogue of the viable seeds available for exchange.

A vital role of many botanical gardens is public education. Normally, the educational efforts are directed to the lay public, rather than to specialists. This very important activity is one of the means by which the public's awareness of the problems of destruction of genetic resources has been heightened, and by which more influence can be generated to support programs in conservation.

Financial arrangements to support botanical gardens is varied, from public federal funds (in a very small number of cases in the United States) through state, county and city funds. Many are associated with large universities. Almost all such institutions have additional private endowments, and in some outstanding cases, the only funding is from private resources. Needless to say, almost all such institutions today are in dire financial straits. They are usually considered as "luxury" or "expendable" expenses by politicians, and their funding is the first to be cut in public budgets.

In the United States, one of the most comprehensive inventories of important genetic resources of plants is maintained by a consortium of botanical gardens through the American Horticultural Society. The AHS inventory of botanical garden holdings is computerized, and is generally available for interested persons to use.