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 112 · DO #4909 · 231_Rogers_Bx8FF40_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Rogers' Manuscript - "Plants & Men", 1971
Digital Object
DO #4909, page 112
Collection-level dates
1948–1977
Open PDF at page 112 ↗

Page transcription

In Dicotyledoneae, there are about eight families of plants producing
the most important vegetable fibers. Three of the most important families
were mentioned above: the Linaceae (linen), Malvaceae (cotton) and Moraceae
(hemp). The other families produce such products as jute (Tilliaceae),
ramie, (Urticaceae), Sunn hemp (Leguminosae), Kapok (Bombacaceae) and
floss (Asclepiadaceae). Many other types of vegetable fibers with specialized
uses come from other families of dicots, but their products are not
included here.

One dicot, cotton (Malvaceae, Gossypium spp.), holds the first place
in importance in the vegetable fibers. Biologically, this plant (or
several related plants) is fascinating for a number of unsolved problems,
for its unusual construction, and in various commercial ways. First,
there are two major groups of cultivated cotton species: the Old World
species with 13 chromosome pairs and the New World species with 26 chromo-
some pairs. However, the wild species of the New World also have 13
chromosome pairs. The New World cultivated species, with 26 pairs, therefore,
arose by some doubling process, though no conscious effort was made
by the early natives to accomplish this. The interesting fact is that,
of the doubled pairs in the New World cultivated species, one of the sets
was derived from an Old World species type. Since the doubling of the
chromosomes apparently occurred long before there was any recorded contact
between the Old and the New World, the question arises--how did the set
of Old World chromosomes get across the ocean? No satisfactory answer
has yet been provided.

Another interesting biological problem is in the proper classification
and relationships of the genus Gossypium. Traditionally, the genus
has been considered a member of the family Malvaceae, and indeed the