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 27 · DO #4952 · 260_Traub_Bx2FF6_r

Collection
Hamilton Paul Traub (1890–1983) correspondence on the formation of the National Horticultural Society
Item/Folder
Correspondence, 1922–1923
Digital Object
DO #4952, page 27
Collection-level dates
1922–1925
Open PDF at page 27 ↗

Page transcription

whole horticultural field. If we plant a small crop of hand
fertilized seed each year, we should be able to make a good
showing in the next ten years. One variety like Lady Alexandra
Duff, or Pleas' Jubilee is worth all the work involved, and the
work of testing out is the most fascinating of all. Every day
there is a new surprise when the seedlings begin to bloom.

It is of course understood that you will be under no
obligation to me in this matter, for you can send me material
from your collection which I will be glad to have in my per-
manent collection. Your lilacs and spireas interest me very
much and I most assuredly would be glad to have them. I will
send you a list of the phloxes, irises and peonies and other
plants in the near future and you can mark what you can use in
your collection. The peony and iris seed, however, is yours
to do with what you like, and the plants are yours for I have
my test plot entirely filled and would not plant this1922 crop
of seed for that reason. I will send you seed in the future
whenever I can spare any, and you are willing to plant it. My
main concern is to get the seed planted. I hope that you will
do me this kind favor.

I will send complete cultural directions of plants that
we will exchange as far as I know.

There is plenty room here for all the material to be
collected for the Library, Herbarium and Museum, but it might be
a good plan to confine the material to the choicest and rarest
specimens for the present, until we decide upon our permanent