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 37 · DO #1602 · 72_Degener_Bx2FF26_r

Collection
Otto Degener (1899–1988) papers
Item/Folder
Correspondence, 1967
Digital Object
DO #1602, page 37
Collection-level dates
1915–1985, n.d.
Open PDF at page 37 ↗

Page transcription

November 10, 1967

Dr. Armando Dugand
Calle 54 44-105
Oficina No. 201
Barranquilla, Colombia

Estimado Doctor:

First of all, belated thanks for your Karwinskia paper, etc., which arrived a long time ago. In return, I shall send you a couple of my recent efforts in Phytologia.

It still seems strange not to have you around. Of course, your country is not forgotten. We still have Pepe, and Bro. Daniel. This week Garcia-Barriga has been here; I met Romero#Castañeda at Harvard in June, and, I understand, there is a young man from Bogota at NY.

Recently I came across the Uribea specimen (fragment) from Costa Rica that I wanted to show you when you were here. It is in a bundle of plants that need labels. I am glad that I found it and was reminded of it so I will include it in a treatment of the Sophoreae that I am preparing for North American Flora.

At the moment I am mixed up with Mimosa, trying to identify a few Galeotti collections from Mexico. An interesting complex is that with M. distachya Cav., from Mexico, and M. oligocantha DC., from Colombia and Venezuela. According to Bentham, those two species are the same, and he might be right, judging from photographs of the types and what few specimens we have, all in flower. From Colombia we have only 2 sheets, both from Santa Marta, the type locality of M. oligocantha. We have no fruiting material from South America. I do not intend to make a special study of this, but, for someone in the future, if you happen to see any M. distachya/oligocantha in fruit, please remember us.

Best wishes to you and your family for Christmas and the New Year.

Sincerely,

Velva E. Rudd
Curator
Department of Botany