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 92 · DO #1763 · 135_Friesner_Bx1FF4_r

Collection
Friesner, Ray Charles (1894–1952) papers
Item/Folder
Correspondence, Notes, and Publications, April 1938–1939, n.d.
Digital Object
DO #1763, page 92
Collection-level dates
1929–1948, n.d.
Open PDF at page 92 ↗

Page transcription

best place for the botanical and "nature", (some of it "arty"), stuff.

So I had Stanley Cain out one day and he appeared to be greatly interested, not to say impressed, with the amount of material I had. He attempted to interest the University but that is the last I heard of it.

Naturally, I do not care to go to very much trouble to give away a lot of stuff that already represents a good many hundred dollars of cash. Neither would I want to give it to some institution which was not in a position to file, preserve and use these negatives.

If you think you might be interested why not run down some time and look over the collection. A good deal of it is probably junk; some of it may be of real value to such a department as yours.

Again I thank you for sending me the pollen discussion. It confirms what we knew must have happened in this area but which we could not prove.

Sincerely,
December 21 1938.

I have just run through a file of old prints and will send you, separately, a selection so that you will have some idea of what the stuff is like. Negatives range from 2½ x 3½ to 5 x 7. Geographic range is Florida to Canada and mostly east of the Mississippi. Time range is from about 1900 to date. Few of my early negatives were important as I did not really become seriously camera minded until I was in Shortridge. There should be negatives in some number of the group who were in school with me -- Harley Bartlett, (Mich); W Delbert Funkhouser, (Ky); Jacob Schramm, formerly Botanical Abstracts and others. One of the prints I am sending is of Schramm, another of Frank Wade, and one of the "Butler Campus" -circa 1902.

you need not return any of these.