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 41 · DO #4204 · 182_Goodspeed_Bx2FF42_r

Collection
Thomas Harper Goodspeed (1887–1966) papers
Item/Folder
Stevenson–Tamblyn, 1948–1957
Digital Object
DO #4204, page 41
Collection-level dates
1923–1963
Open PDF at page 41 ↗

Page transcription

CARLETON COLLEGE
NORTHFIELD MINNESOTA

DEPARTMENT OF BOTANY
November 24, 1951

Professor T. Harper Goodspeed
Department of Botany
University of California
Berkeley, California

Dear Harper:

It seems that I write only when I want to ask a favor. I am applying to the American Philosophical Society for a grant from their research funds to aid in furthering my studies of Costa Rican woods. I have some 120 wood samples with herbarium vouchers in the present collection. Half of these have been worked up for the microscope in cross, radial and tangential aspect. Some of them have been photomicrographed. There are some voids that need filling and then some genera need added material. I hope to bring this study to a head in the sabbatical leave time granted me, February to September, 1952.

Several shorter publications on particularly interesting findings are hanging fire while I hope to add more material that is related. The whole study should give a survey volume that would carry photomicrographic illustrations. I believe this study has value in providing anatomical evidences of taxonomic relationships as well as a contribution to anatomy

My plan is to spend several months in the forests of Costa Rica and the balance of the time in the laboratory of Yale School of Forestry or possibly I may ask you again whether I may use your excellent library and have a corner somewhere in Life Science. At any rate it would be fine to be with you again, if you are not in the Argentine by that time.

I would esteem it a great favor if you could send the enclosed form to The American Philosophical Society, Independence Square, Philadelphia & Pa.

Hope you are all getting along all right. Gertrude is fine,- returned recently from Hartford where our grandson, aet.3 mos., lives with his parents.

Cordially,

Harvey E. Stork