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 60 · DO #4183 · 182_Goodspeed_Bx1FF21_r

Collection
Thomas Harper Goodspeed (1887–1966) papers
Item/Folder
Jessup–Junge, 1939–1959
Digital Object
DO #4183, page 60
Collection-level dates
1923–1963
Open PDF at page 60 ↗

Page transcription

THE ARNOLD ARBORETUM
HARVARD UNIVERSITY
JAMAICA PLAIN 30, MASS., U.S.A.

February 28, 1949

Professor T. H. Goodspeed
Department of Botany
University of California
Berkeley 4, California

Dear Dr. Goodspeed:

Your letter of the twenty-fourth has just been received. I am a little bit upset to learn that your books indicate that I am supposed to have "a considerable amount of unworked material" from the Andean expeditions. I would appreciate it if you could give me an account, if possible, by regions and groups of families represented in this material. I kept pretty good records and had quite a file from your secretary regarding certain shipping back and forth of the South American material. With some specific data perhaps I can discover what has happened. I am sorry that the matter was not brought up long ago. It must be about eight or nine years since I was working on the collection.

I am glad to get your report on conditions at Santiago. Muñoz was here on a visit a couple of months before Christmas. From him I learned of the many changes. I think he has done a first-rate job, something that all the American botanists should be grateful for. Back in 1925 I spent six months working in the old herbarium and I considered it as having incorporated all that should not be in herbarium management and arrangement. At present Muñoz is chiefly concerned in getting the herbarium used, now that it is in condition to be a good research tool. He came to me, offering to give me every facility if I could return to work on the Chilean flora. The project was a botanist's dream, but unhappily I was not in a position to take advantage of it.

Trusting that you will let me know a little more definitely what is charged against me, I am, with best regards,

Yours sincerely

Ivan M. Johnston, Associate Director
Supervisor of the Herbarium
and Library