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 29 · DO #4883 · 231_Rogers_Bx8FF15_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Manihot - Gainesville Talk, 1960 or 1961
Digital Object
DO #4883, page 29
Collection-level dates
1948–1977
Open PDF at page 29 ↗

Page transcription

-3-

taxonomists when attaching a problem in systematics. Since the plants are quite large, it is difficult to make a very complete herbarium specimen by ordinary techniques. Usually, a collector makes no specimen unless it bear flower or fruit. These plants when in flower or fruit have different leaf (and other such characters) from those of the vegetative conditions. Since flowering and fruiting are of sporadic occurrence in this group, it is necessary to rely mainly on vegetative characteristics. Due to this fact, plus others, I have little valid material with which to start this work. In order to quickly bring together sufficient materials for study, it has been necessary to have the cooperation of many different organizations--most of them departments of agriculture, and it has been a very satisfying experience in most cases to find the fine cooperation these people give.

Two areas well within the normal growth of cassava, Jamaica and Costa Rica, were selected in 1953 because they could give a wide range of environmental variation and at the same time be close to the U.S. The Department of Agriculture of Jamaica, and the Inter-American Institute of Agricultural Sciences at Turrialba, Costa Rica, are the organizations with which I have been working. In these two localities, I had hoped to have cuttings (the normal method of reproduction) sent in from all regions of the tropics where cassava is grown. A last moment ruling against importation of any clones into Jamaica caused a change in plans during the summer of 1953. A sufficiently large number of clones were already present in Jamaica to make a valid study of the effects of different environmental conditions (something similar to the Clausen, Keck and Hiesey experiments with Achillea). This change of plan has turned out to be a valuable one, perhaps preventing some embarrassing situations later on. Through agriculture extension agents, the island was fairly well searched, and duplicate cassava plantings were made in two of the experiment stations maintained by the Department. Altogether, 107 different named clones were brought together with six plants of each clone in each station. Although some of the local names are duplications, the amount of real variation is quite large, and the effect of