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 162 · DO #3491 · 324_Traverse_Bx4FF14_r

Collection
Alfred Traverse (1925–2015) papers
Item/Folder
James E. Canright, 1956–1999
Digital Object
DO #3491, page 162
Collection-level dates
1948–2001
Open PDF at page 162 ↗

Page transcription

ARIZONA STATE
UNIVERSITY
DEPARTMENT OF BOTANY AND MICROBIOLOGY
TEMPE, ARIZONA 85281

April 29, 1970

Dr. Elizabeth M. Zipf, Supervisory Editor
Biosciences Information Service
2100 Arch Street
Philadelphia, Pennsylvania 19103

Dear Dr. Zipf:

In response to your inquiry of March 5, I believe it would
be impractical to attempt to list genera in the Biosystematic
Index --- certainly for the vascular plants, at least, the
family listing is adequate for most research workers. However,
you might wish to reexamine your listing of higher taxonomic
categories. For example, almost no one follows the older
"Pteridophyta-Spermatophyta" concepts today. It would be
preferable to list the major taxon Tracheophyta and under this
heading list the major classes: Psilophytopsida, Psilopsida,
Lycopsida, Pteropsida, etc. For your information I enclose
a mimeographed sheet of a modern classification of the vascular
plants (down to the family level).

With reference to section definitions for which I am responsible,
I offer the following comments:
Palynology---See my remarks in the 2nd paragraph of my
letter to you dated 11 Dec., 1968.
"Palynologic fossils" include a number of
microorganisms of animal origin or whose
exact affinities are unknown. These should
be included here, because they are recovered
along with plant spores and pollen assemblages
in ancient sediments and often have considerable
value in stratigraphic correlation. The
members of an organization to which I belong,
The American Association of Stratigraphic
Palynologists (AASP), are interested in all
kinds of palynologic fossils for purposes of
stratigraphic correlation; accordingly, they
are better served if the abstracts of these
varied microorganisms are grouped together
in the Palynology Section.

I would also recommend inclusion of morphologic studies of
extant spores and pollen which provide taxonomic and/or
phylogenetic information. This would include descriptions based
on both transmission electron microscopy and the newer scanning
electron microscopy, as well as the more conventional light
microscope investigations.