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 60 · DO #461 · 204_Popenoe_Bx33FF31r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
The Cherimoya - manuscripts in Spanish & English , notes and correspondence - chapter in outline for proposed book with Herbert Wolfe, n.d.
Digital Object
DO #461, page 60
Collection-level dates
1882–1975
Open PDF at page 60 ↗

Page transcription

14.

shoots, but many arise cauliflorously on the main trunk and larger
limbs.

The fruit is the largest of all the annonas, ranging in weight
from 500 gms. to 1 or 2 kgs., fruits of 4 kilograms are not uncommon.
The form is elongated cordate or oblong, largest at the stem end, and
often misshapen, especially toward the apex, due to failure of unpollinated carpels to develop. The skin or outer covering is dark green,
with fleshy spine about 1 cm. long from each of the fused carpels.
recurved at the tip. The flesh is white, cottony in texture (which
renders it unpopular for eating out of hand); the abundant juice is
sub-acid, with about 10 to 12% of sugar and 1% or more of acid, making
a pleasingly tart blend, with a distinctive aroma. Guanabanas are much
used for refreshing drinks, sherbets, and ice cream flavoring; they
can be preserved by freezing or may be canned. The famous champola
of Cuba is prepared by putting the flesh through a sieve, then mixing
the juice with milk, sugar, and cracked ice. There seems no reason
why canned or frozen juice could not be exported to northern countries
for use in various ways. As with other annonas, numerous, flattened,
brown seeds are imbedded in the flesh.

The soil best suited to soursops is probably a good loam, but it
has succeeded on sandy clays and light sands, though requiring plenty
of fertilizer on the latter. Good drainage is essential. Unfortunately,
the tree is not very productive, only a few good, large fruits being
mature annually. Hand pollination might
increase fruit setting when the
proper pollinating insects are not active. Considerable variation in
yields of seedlings has been noted, especially in Venezuela, and it
seems likely that selection of heavy bearing trees and their propagation
as varieties would greatly increased production. Propagation by
veener grafting is recommended.