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 #1410 · 234_Neal_r

Collection
Marie Catharine Neal (1889–1965) papers
Item/Folder
Papers, 1889–1960
Digital Object
DO #1410, page 60
Collection-level dates
1931–1960, n.d.
Open PDF at page 60 ↗

Page transcription

SYMBOLISM OF HERBS

"And by the icon or image of every herb, man first found out their virtues. Modern writers laugh at them for it, but I wonder in my heart how the virtues of herbs came first to be known if not by their signatures. The moderns have found them from the writings of the ancients,--the ancients had no writings to have them from." Nicholas Culpeper 1616 - 1654

******

The display is symbolical. In the center of the miniature garden stands Saint Fiacre, Patron of Gardeners. He is surrounded by herbs which are available to men the whole world round, men who seek the virtues associated with their use. Almost every growing green has a symbolic meaning, for the body, the mind, or the soul.

Balm ......... Sympathy
Basil ........ Good Wishes
Box ........... Strength
Burnet ........ Merry Heart
Camomile ...... Patience
Chervil ........ Sincerity
Chives ........ Usefulness
Horehound ..... Health
Hyssop ........ Sacrifice
Ivy ............ God
Juniper ........ Protection
Lavender ....... Devotion
Marjoram ...... Joy
Mints .......... Eternal Refreshment
Mugwort ....... Be not weary
Parsley ........ Festivity
Rose Geranium .. Preference
Rosemary ...... Remembrance
Rue ........... Grace
Sage ........... Wisdom
Santolina ...... Wards off Evil
Savory ........ Spice
Southernwood .. Constancy
Sweet Woodruff.. Humility
Thyme ........ Courage
Violet ......... Devotion
Yew ........... Immortality

Symbolic Display of Herbs
At Boston Flower Show, 1958
Greene Herb Gardens, Greene, R. I.