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 69 · DO #4193 · 182_Goodspeed_Bx2FF31_r

Collection
Thomas Harper Goodspeed (1887–1966) papers
Item/Folder
Nieto–O'Dette, 1946–1957
Digital Object
DO #4193, page 69
Collection-level dates
1923–1963
Open PDF at page 69 ↗

Page transcription

2079 Life Sciences Bldg.
University of California
Berkeley 4, California
February 8, 1957

Mr. W. J. Norton
Route 1, Box 2140
Colfax, California

Dear Bill:

It was very good to hear from you and I am delighted that things in general are going well with you.

I missed the article about the "Bristle cone Pine" in Life but the people in our herbarium say there has been quite a bit of argument about its actual age. Apparently it grows on the highest peaks of the While Mountains but might well do alright with you.

The best suggestion seems to be that you write to Mirov or anyone else at the tree breeding institute at Placerville. They should know whether this pine is in cultivation anywhere -- conceivably they may grow it in their almost complete collection of pine species.

Some years ago I built a cottage near Calistoga and since I married again three years ago Betty and I have spent quite a bit of time there on long week ends. In a year or two we make Calistoga our headquarters. In other words, we go west rather than in your direction when we get into the car. But sometime, and I hope soon, we will be going your way and won't fail to see you.

My active service at the University ends this June 30 at age 70 and after 47 years on the faculty. As per usual, there will be two appointments to take over my work -- a Director of the Botanical Garden and someone to handle my courses.

We are off to South America for the 7th time in September. I have gotten hold of some money and the Guggenheim Foundation has given me another Fellowship and so there will be another plant hunting expedition in the "other America." We will be away, with a party of collectors, until March 1958 and then put in a year here working on the collections.

My very best to you and the Senora.

As ever yours,

THG:T