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 58 · DO #387 · 204_Popenoe_Bx29FF386r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
William, Louis Otho and Rua, 6 April 1961–16 January 1975
Digital Object
DO #387, page 58
Collection-level dates
1882–1975
Open PDF at page 58 ↗

Page transcription

FIELD MUSEUM
OF NATURAL HISTORY

June 4, 1974

Dear Dr. Popencoe:

I have a fine 14 X 20 inch photograph of "Wilson Popencoe, Plant Explorer". This must have been taken no fewer than 60 years ago but I have no idea where except that the tree used for a background looks like it might be aguacaste. You are mounted on a white horse and have a black pack mule loaded with two "box" panniers with stuff piled on top.

If you or any of your youngsters might like to have it I shall be glad to ship it to wherever you may indicate.

Quite a log time ago a note went to you sounding you out on YOU preparing an article on the horticultural aspects of avocados. The suggestion was that this and one that I might complete on the systematics might both go in the same journal at the same time.

Working on Eupatorium. Guatemala has something more than 80 of the some 500 species and they are difficult. We have been collecting these things every time that we saw them for the last ten years and I guess that we must have some 500 "new" collections.

Don't know whether we will get to the tropics coming winter or not. Rua is having problem with her back and if that does not clear we will not leave the states.

Molina is coming for a couple months, possibly September-October if I can find the money to bring him. Think that I can.

Regards to youboth,

Louis

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