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 34 · DO #4176 · 182_Goodspeed_Bx1FF14_r

Collection
Thomas Harper Goodspeed (1887–1966) papers
Item/Folder
Fahs–Fritz, 1948–1957
Digital Object
DO #4176, page 34
Collection-level dates
1923–1963
Open PDF at page 34 ↗

Page transcription

Berkeley 4, California
April 11, 1951

Dr. Ramon Ferreyra
c/o Mr. Jason Swallen
U.S. National Museum
Smithsonian Institution
Washington 25, D.C.

Dear Dr. Ferreyra:

Thank you for your Christmas remembrance. When I learned that
you were again in this country I hoped that we might see you
in Berkeley before this time.

The Chilean government is asking me to come to Valparaiso this
fall to start the development of the National Botanical Garden
which I designed in 1942-43. If I accept this invitation & shall take with me to South America one or two collectors. I wish to have one of them make further phytogeographic investigations of the cactus vegetation of Peru. In preparation for this work a detailed study of the areas from which herbarium material has been obtained is necessary. Can you tell me how I can buy the sheets of the Carta Nacional, Servicio Geografico del Ejercito? Of this map I have only hoja 7a, Dept. de la Lebertad. It is so much more detailed than any other Peruvian maps I was able to obtain that I would like to have additional sheets.

If I am to be in Peru again and have collecting done there I would like to make some official contacts which would aid me and my collectors. In the past I had a number of friends in the government who provided me with some documents that told who I was and what I was doing in Peru. As you know such official introductions are sometimes necessary and always useful in out-of-the-way regions where a botanist may be looked upon with some suspicion. You may have a suggestion concerning someone to approach. I had thought of writing to the Director of La Molina but I do not know whether the Director I knew in 1948 is still Director. Any suggestions you may have will be much appreciated.

With best wishes

Ramon Ferreyra
c/o Jason Swallen
U.S. National Museum
Dept. of Botany
Smithsonian Institution
Washington 25, D.C.