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 11 · DO #963 · 319_Love_Bx1FF8r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Yugoslavia"
Digital Object
DO #963, page 11
Collection-level dates
1950–1987
Open PDF at page 11 ↗

Page transcription

10.

Most chromosome studies have been performed on plants from the arctic and subarctic belts and from the nemoral vegetation regions of western Europe, eastern North America, and eastern Asia. It is, therefore, necessary to widen such studies to include also other kinds of plants in areas less well known from this point of view, in the belief that this may not only add to our understanding of chromosomal evolution but also clarify the taxonomy of the floras of these lands as a firmer basis for phyto-geographical and practical evolutionary studies. The Mediterranean and semiarid types of floras still remain very insufficiently known in this respect, not only in Europe.

Since the flora of Yugoslavia certainly is well known, it is ideal as a subject of a consorted biosystematic study, which should aim at an evolutionary synthesis of the history of the entire flora. Such studies ought, primarily, to concentrate upon simple cytotaxonomical investigations of chromosome numbers and geographical-morphological diversity, since the results obtained from such an approach will clarify to a high degree the basic evolutionary processes that have shaped the flora and form a stable basis for its uniform classification. However, because of the assumed history of the plants of Yugoslavia and the variable conditions under which they seem to have developed, these taxa may also be better suited for cytogenetical and genetical studies of adaptive variation than are plants of any other region in Europe, not excluding those of areas directly affected by the Pleistocene glaciations. The great geographical variability of the flora also makes it ideal for an attempt to gain some understanding of the processes of evolution that are connected with various kinds of polyploidy, apomixis and, above all, autogamy and allogamy, which are phenomena of great importance from the point of view of evolutionary taxonomy. Such problems can only be solved by aid of intensive experimental studies of carefully selected species