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 95 · DO #4920 · 231_Rogers_Bx9FF2_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Manihot - Correspondence, 1960
Digital Object
DO #4920, page 95
Collection-level dates
1948–1977
Open PDF at page 95 ↗

Page transcription

Dr. R. W. Richardson, Jr.          -2-          October 6, 1959

moisture conditions, etc. I would therefore welcome the opportunity of collaborating with you and to provide your station with the previously collected materials in Jamaica and Costa Rica as well as propagating material from my forthcoming trip to Brazil. I am looking forward to a two-month endeavor in Brazil this coming January and February with the hope of collecting a sufficiently broad sampling from the center of variations to allow a thorough-going analysis.

Since the whole field of agricultural studies of cassava is rather limited, there are literally hundreds of problems to be studied with these plants. Not only is the taxonomy of the group thoroughly confused, but the knowledge of genetics is very scanty. Some plant breeding has been done, particularly for mosaic resistance in Africa; some Indian agronomic studies have been made with local varieties, but little generally is known. Any area of study with the plants would be of extreme significance. For example, the fact that the foliage of the plants has a very high crude protein content sounds quite exciting. I am enclosing a reprint of an article of analyses made in Jamaica on the leaf protein.

If you are interested in these studies and would like to arrange for co-operative endeavors, I would be pleased to know to what extent you are interested. My own financial arrangements are such that The New York Botanical Garden provides my salary, and I expect to have most of my travel paid for through grants from The National Science Foundation. The amount involved for growing the plants and any experimental work which you might wish to have done is of course better known to you than to me.

I will be pleased to know of your reactions to this proposal for co-operative studies.

Sincerely yours

David J. Rogers
Curator of Economic Botany

DJR:MDF

CC--Dr. Steere
Dr. A. H. Moseman