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 18 · DO #963 · 319_Love_Bx1FF8r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Yugoslavia"
Digital Object
DO #963, page 18
Collection-level dates
1950–1987
Open PDF at page 18 ↗

Page transcription

2.

Classification of plants into a system that indicates the true
relationships of all the taxa has long been the aim of plant taxonomists,
Although much in this field has been achieved by aid of observations of
morphological and geographical characteristics in the past, great difficulties
have frequently been met with in deciding upon the level of some taxa, and
then especially in distinguishing between the category of species as
contrasted to the interspecific units of subspecies and variety. The
biological definition of these categories that considers the occurrence
of an internal reproductive barrier to be an essential attribute of the
species and the lack of such a barrier between its subunits has greatly
clarified this matter, although the disclosure of such a barrier between
two taxa sometimes requires the applications of methods other than those
of classical taxonomy.

It has been known for nine decades that the chromosomes and their
number are of an immense significance for studies of reproductive barriers,
because every well-defined species is characterized by only a single
chromosome number. When related species are characterized by the same
chromosome number, differences in chromosome morphology may indicate
the occurrence of reproductive difficulties, but hybridization experiments
are usually required to clarify their nature and importance. In the case
of polyploidy reflected in differences in chromosome number, however, the
case is much simpler, because thousands of experiments have clearly shown
that taxa with different chromosome numbers either are completely incompatible
or their more or less rare crosses are unable to reproduce.

Because of these observations, it has long been evident that a knowledge
of the chromosome numbers of the taxa of a flora is an important contribution
to the correct evolutionary classification of its species and their subunits.