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 21 · DO #4571 · 116_Van%20Schaack_Bx8FF33_r

Collection
George B. Van Schaack (1903–1983) papers
Item/Folder
Miscellaneous papers, undated
Digital Object
DO #4571, page 21
Collection-level dates
1918–1981
Open PDF at page 21 ↗

Page transcription

February 16, 1953

Professor Sir William Wright Smith, Director
Royal Botanical Garden
Edinburgh, Scotland

Dear Sir:

During the next few months I hope to distribute plants of
Attu Island (Aleutian Islands) collected by myself and two
friends of mine during 1944-45. These will be made up into sets
of from 100 to 400 sheets. Although the larger sets will con-
tain up to forty per cent Gramineae such a set will contain as
well a representative cross-section of the vascular flora of
the island (about 300 species). The smaller sets may be rather
more heavily weighted with Gramineae since our collecting was
concentrated on this group. These collections contain many species
not before taken on the island. All of the critical material
has been determined by specialists.

I notice in Index Herbariorum, recently issued, that your
herbarium has available for exchange plants from Western China.
I am wondering to what extent you would wish to send me Gramineae
from there in exchange fro plants from Attu. Perhaps you also
have available Gramineae from other regions in which I would be
interested.

The plants I have to exchange are my personal property and
exchange should be addressed to me rather than to the Missouri
Botanical Garden. However, such plants as I receive in exchange
I turn over to the Garden for its use.

Very sincerely yours,

George B. Van Schaack
Honorary Curator of Grasses