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 25 · DO #476 · 204_Popenoe_Bx33FF46r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
Various typed manuscripts (architechture and agricultural subjects), notes; one speech, 1 November 1941, n.d.
Digital Object
DO #476, page 25
Collection-level dates
1882–1975
Open PDF at page 25 ↗

Page transcription

rich virgin soils, not too sandy in character, but at the same time
not heavy. And experience in Java has shown that they are only fully
successful within a certain altitudinal range - approximately 3500 to
5500 feet in that Island.

Seeds are planted in carefully prepared beds surfaced with
forest loam, and protected from the sun and rain by means of sheet-iron
roofing. To indicate the delicate character of the seeds, it is only
necessary to state that it takes some 2500 of them to weigh one gram.

While the seeds are germinating, which takes from three to
four weeks, they must be kept uniformly moist but not wet. If allowed
to dry out after they have once swollen, they die. Then there is the
problem of protection from the damping-off fungus while the seedlings
are small. This requires a very careful adjustment of the light relation.
As the plants grow larger, they must be given more light lest they become
too "leggy;" but if exposed to direct rays of the sun for even a few
hours, they may be killed.

From the seed beds they are transplanted, when three or four
inches high, to nursery beds - again with partial protection from the
sun's rays - and after six months or so, again transplanted at wider
spacings. It may require as much as two years to bring the young trees
to the size suitable for transplanting to permanent places in the field.

Because Ledgers are so delicate, it is the practice in Java
to graft them upon roots of the more rugged succirubra species - unless
the land on which they are to be grown is unusually rich and of just the
right soil texture. Grafting also furnishes an opportunity for standard-
izing the production, for grafted trees are naturally uniform in quinine
content (comparatively speaking), while seedlings are not.