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 10 · DO #976 · 319_Love_Bx1FF21r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Wheatgrasses" (3 of 3)
Digital Object
DO #976, page 10
Collection-level dates
1950–1987
Open PDF at page 10 ↗

Page transcription

is designed to answer the basic question about what can be found in the wider sense of the word so the plant can be classified and again identified by simple observational methods as inevitably are used by non-specialists and by floristic botanists who do not require more exact information. Though this fundamental approach needs categories as do all kinds of studies, these may be rather arbitrarily chosen and hardly need to be made closely defined.

When scientific knowledge advances, so the requirements of exactness the descriptive approach is supplemented by the comparative. This is first focused around the grouping or classification because we need to know what pattern or system an assembly of plants has in common, and what distinct types there are at various levels of characterization. In the wheatgrasses, this leads to a somewhat confused state, since a considerable degree of arbitrariness cannot be avoided as long as the morphological method is supplemented only by anatomical and geographical considerations that hardly are sufficient for conclusions as to physical relationship the grade and physical relationship. Some botanists following the comparative method concluded that many of the more than 100 species that were discovered during the century following discovery were correctly classified in small and monophyletic genera of which more than fifty were described, whereas others used the one method or basis for bringing this variation into only the genus Distichlis Krause used the one method as a basis for bringing all the wheatgrasses into a single genus, which he called Festuca, a legitimate one also according the nomenclatural rules of his time. More moderate lapses, however, selected a few distinct morphological traits as a basis for placing all these species in the genus Festuca, small genus Triticeae, Secale et Elymus of the large genus Hordeum, Agropyron et Elymus, an arrangement that was generally accepted all over the world until half a century ago it still is predominant in even the modern manuals for the English-speaking nations though not in the conservative Flora Europaea. Implicit in this system was the idea of physical