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 172 · DO #4225 · 182_Goodspeed_Bx3FF65_r

Collection
Thomas Harper Goodspeed (1887–1966) papers
Item/Folder
Family Solanaceae; Reiche: Flora de Chile, undated
Digital Object
DO #4225, page 172
Collection-level dates
1923–1963
Open PDF at page 172 ↗

Page transcription

to have terminated his mission. In this new period of his excursions, he obtains
a collection of plants of more than 3,000 numbers (FM, B D). In 1922 he published
in Stuttgart the first phytogeographical map that is known on the national
territory.

In 1910 the prestigious German Americanist, Dr. Eduardo Seler, on going
through Peru after having attended the Scientific Congress of Montevideo, makes
a trip through the altiplano of Titicaca, through some provinces of the department
of Cuzco and the valley of the Rimac to the town of Oroya, obtaining in his journey
an appreciable lot of plants (B D).

In 1911, Prof. Harry Word Toote of the Sheffield Scientific School of Yale
University explores during two months the basin of the deep Urubamba, Ollantai-
tambo, San Miguel, Haudquilla and Santa Ana. In the distance he traversed, he
obtained an important collection of Muscineas?, consisting of 335 packages of
Hepaticae (U G) and 48 Mosses (N G). The first were studied by Prof. Alexander
W. Evans and the latter by Dr. R. S. Williams, In December of the same year,
Prof. W. F. Castle of the astronomical observatory of Carmen Alto collected plants
in the neighborhood of the city of Arequipa.

In 1912, Forbes traverses the coast of Peru, visiting, among other localities,
Barranco, near Pacasmayo and Paracas Bey, near Pisco (B N) and Oquendo, he
herborizes in the neighborhood of the city of Puno (K).

In 1913, Prof. Alex Hrdlicka, American physician and anthropologist, visits
the village of San Damian of the province of Huarochirí where he obtains a small
collection of plants (U S).

In June of 1914, Prof. Joseph Nelson Rose, monographist of the family of the
Cactaceae, arrives at this Capital and immediately proceeds to the exploration of
the ravine of Rimac, stopping in Santa Clara, Matucana and Chosica, from where
he went to the department of Junín and then to Southern Peru where he visits the
departments of Arequipa and Cuzco (N G, U S). In collaboration with Prof. N. L.