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 102 · DO #4909 · 231_Rogers_Bx8FF40_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Rogers' Manuscript - "Plants & Men", 1971
Digital Object
DO #4909, page 102
Collection-level dates
1948–1977
Open PDF at page 102 ↗

Page transcription

7 - 6

cure," because the numbers of times in the past when a substance seemed well
on the way through all the testing procedures with positive results, when
finally tested on human patients, did not have the desired effect. Yet the
quest continues, for one type of cancer (mentioned earlier) has been checked
by the extract from a very common plant.

I have described the procedures above in a very sketchy manner. A very
large number of detailed steps have been omitted only to indicate that any
drug, no matter whether discovered in modern times or having a much longer
history, has had to go through countless numbers of tests before its true use
could be identified. Even the oldest drugs went through a sort of testing
procedure even though the practitioners and consumers may not have considered
themselves as testers or guinea pigs. How long did it take for man to dis-
cover the benefit of quinine as an agent in the cure of malaria? We have no
way to know, but the period between first test and final application to the
specific disease must have been very long. In a sense, we owe a tremendous
debt to those early patients who willingly swallowed the medicine man's bitter
concoction without any sure knowledge that he wasn't going to his reward.

Today, although some of our most important drugs are synthetic--compounded
from simpler starting materials in the laboratory or pharmaceutical industry
tanks--by far the largest number are derived from plants, and it is rare that
we find a drug to be administered that does not have materials derived from
several plants. Perhaps the active substance is a single derivative, highly
refined, but it is frequently carried in or dispersed in another plant pro-
duct, and the taste, odor and sight are made more pleasing by the addition of
extracts from spices, flavoring materials (i.e., vanilla, mint, et al.) and
vegetable coloring (Bixa orellana, producing a red or yellow pigment, is one
of the favorites). Other plant products are frequently employed in filtering
or purifying the crude drug. Carefully prepared charcoal may be used to remove