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 31 · DO #4779 · 231_Rogers_Bx5FF29_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Manuscript "Economically Important Collections of Organisms" (+ NOTES), undated
Digital Object
DO #4779, page 31
Collection-level dates
1948–1977
Open PDF at page 31 ↗

Page transcription

B50

essence, selected portions of a Genetic Reserve would serve as a tested,
reliable, and varied genetic reservoir for perpetuating selected populations
for forestry and related uses. In fact, certain portions of the Genetic
Reserve should be preserved intact after the initial screening has taken
place.

To meet the challenges of maintaining an adequate forest gene pool for the
future, these various strategies must be applied and they should be initiated
in those areas where they are now lacking.

Important Drug Plants in the U.S.

Medicinal plants of importance fall into several categories,
i.e. (a) those that yield pure chemical compounds of established
value in the treatment of disease; (b) those that are used in a crude
or advanced form, and which have established value in the treatment
of disease; (c) those that yield chemical compounds of importance as
starting materials for the semi-synthetic production of drugs which
have an established value in the treatment of disease; (d) those that
yield extracts or compounds which in themselves have no well-established
medicinal value, but which may be necessary for the preparation of com-
pendial dosage forms; (e) those that yield chemical compounds of known
structure that are not in themselves useful as drugs, but which may have
a valuable utility as pharmacologic tools in that they contribute to a
better understanding of the mechanism of action of other drugs; and
(f) those plants that have a widespread use as "herbal remedies", "teas"
and the like, in which case the medicinal value may not have been estab-
lished.

There is a false conception by many as to the importance of higher
plants as drugs, or as sources of useful drugs. This is prevalent in
the United States, as well as in many countries abroad. Perhaps a few
factual aspects of the role of plants as medicines, or as sources of