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 52 · DO #4666 · 231_Rogers_Bx2FF27_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Taximetrics Course - Student Reports, 1966–1968
Digital Object
DO #4666, page 52
Collection-level dates
1948–1977
Open PDF at page 52 ↗

Page transcription

7
your mind when you are thinking of one thing and when you are thinking of
another. Do you see what I mean? (George) This flowchart
called
a perfect biological cure for this application
Not
that its interests are necessarily going to be relegated to the preparatory
application. So let's put it in the applications for just a while. Say that we
to in column II and come out and get over into column I and come out and get
back over into column III and end up in our phylogical box. We can still get
out of this same exit back over to column I, cycle around like use the machine
results that we find
interesting to us, returning these results back into the machine
and so forth and cycling it this way. Use this process
to develop a phylogy if that is what you are interested in. Without ever
assuming to know anything more about phylogy than when you do at the time mf the
computer machine is actually operating. I think this is sort of the attitude
that this flowchart is trying to put forth, rather than relegating

(Dave)
Is that understandable?/ Well it is to me, but it may not be so in the case of
the rest of them. Does that answer your question, Craig? (Craig)Pretty much.
My main interest here is that for a year now it has been sort of pounded into
me that what we are interested in in taxonomy is figuring out evolutionary
development of the flora of the world, from starting from the most primitive
thing along up through the ages figured how plant a is
related to plant b and judging from this isn't
necessarily that important. The main thing we are interested in is figuring
out a scheme pf identifying plants or arranging plants for whatever purpose you
(Dave)
want, economic purposes, etc./ It is usually pointed out that there is no
uniquely determined classification. The classification should serve the purpose
of the individual who is doing it, primarily. And all that you would be