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 40 · DO #196 · 204_Popenoe_Bx12FF195r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
Lukens, R. P., 16 April 1940–6 April 1942
Digital Object
DO #196, page 40
Collection-level dates
1882–1975
Open PDF at page 40 ↗

Page transcription

2.
from heavy rain, will disappear. But it would be well, when opportunity offers, to work out the proper technique for handling nurseries during the rainy season, since the time will come when it will be necessary to do a certain amount of transplanting at that time of year. We should also work out the best means of fertilizing young plants in nursery. I am becoming convinced that Calisayas and Ledgers are going to require a certain amount of fertilization during this stage, if we are to get best results.

Grafting. I am not convinced that the method used by Benitez is the best. In any event, so much depends upon grafting that we should not stop short of further study of this problem. And there is the additional one brought up by you - determination of the best season (though I think we already know that; what we need to know is, Can we graft also at other times), further study of kinds of propagating material (since it is important that we get the largest possible number of grafts out of high-yielding trees at this stage) and so on. I am convinced we can improve somewhat upon our present technique though I am not sure we can do a great deal. Weather and the condition of grafting wood are recognized factors in the propagation of any tree and there will be a limit to our ability to beat the game. At the same time, there is every reason to believe that the general problem of grafting can be handled here as satisfactorily as it is in Java, where it seems to give no trouble.

Fertilization of Trees in the Field. This has been discussed at length in the correspondence and most certainly is one of our major problems at the moment, if we are to save the maximum number of seedling trees now growing in experimental plantings here. Unless something is done at Monterrey, many of the Washington Ledgers, African Ledgers, and similar promising things are going to die out before we are able to get bark analyses and save promising strains