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 35 · 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 35
Collection-level dates
1948–1977
Open PDF at page 35 ↗

Page transcription

environment is quite striking as I begin to compare the plants of each locality.

In Costa Rica, through the efforts of Dr. Jorge Leon, most of the clones occurring in that country had already been assembled in museum plots at Turrialba. By cooperation with various inter-American agricultural missions, and through departments of agriculture of several South American and Far Eastern countries, we were able to establish Turrialba as a center for bringing together clones from all over the world.

By June of this year, the two plantings of local clones in Jamaica were ready for sampling. The methods of sampling are essentially those which Anderson describes for his "inclusive herbarium" specimen, in which a single herbarium sheet contains data for a population rather than a single plant. Since there was no opportunity to make evaluations of characteristics of taxonomic importance previously, it was necessary to keep a record of as many characteristics as could be determined. Some characters were more obvious, but others have not yet appeared as important.

The variations amongst plants of a single clone were recorded, and if possible, coded by number. (Registrars at most schools have IBM machines available, and not working at all times.) As each clone was studied, one average plant was selected and photographed against a calibrated board, once (slide 7) at a standard distance of 5 meters for the habit photograph, and once (slide 8) at 2 meters for a detail of the leaf, root and stem sections. An herbarium specimen of the leaf, the apex of the vegetative shoot, sections of stem and root, and when possible, a flowering or fruiting branch was made. For each specimen, coloration, state of maturity of root, etc., were recorded. Any ripe seeds were collected to complete the record. At time of sampling, if the roots were mature, a sample was sent to the agricultural chemist of the Jamaican department for analysis of HCN and carbohydrate content.

(Slide 9) With the help of two field hands, and one of the officers of the agronomy division, it was possible to complete the various parts of the sampling