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 67 · DO #976 · 319_Love_Bx1FF21r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Wheatgrasses" (3 of 3)
Digital Object
DO #976, page 67
Collection-level dates
1950–1987
Open PDF at page 67 ↗

Page transcription

4.

More recently, the Swedish botanist Rensch & Hacer (1968) recognized only 18 genera in the tribe of Agrostis and Elymus into a single genus with the better name. The current comprehensive approach is that of the Japanese geneticist Sato (1974), who accepted 15 genera which he classified into Mediterranean-Central Asiatic and Arctic-Antarctic groups. Their distribution of their growth habits, growth forms, and their crossability and chromosome characteristics as well as on the basis of their morphological characters. The last revision is by the Russian cytologist Tsvetkov in his (Plant Breeding) 1976 in which he adopted a morphological system based on that of Dushin but with only 18 genera.

This review may serve as a demonstration of the confusion surrounding the taxonomic division of the wheatgrasses, though it did not mention the extreme views of Kram (1998), recently supported by Madsen and others. He felt that the morphological variability and the great crossability supported the inclusion of all the genera in a single genus. However, the relationship between the genera must be so close that if such a point of view is entertained. But let us leave for a while on that note.

European taxonomists have long been aware that hybrids between certain species of wheatgrasses occur occasionally, and that some of the wild taxa may casually cross with the cultivated grains. One of the great botanical controversies of the last century concerned a plant which was discovered close to cultivated fields in southern France in 1800 and soon found also in Italy, where Bertolini described it in Flore Italiana in 1833 as the hybrid Elymus anticoides. Some others claimed it to be a new introduction from Greece. After a lengthy discussion, it was indeed proven to be a hybrid between Elymus and Triticum aestivum, the common wheat. Even before the rediscovery of Mendel's laws,