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 52 · DO #976 · 319_Love_Bx1FF21r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Wheatgrasses" (3 of 3)
Digital Object
DO #976, page 52
Collection-level dates
1950–1987
Open PDF at page 52 ↗

Page transcription

It has been claimed, with considerable reason, that classification or taxonomy of living beings is as old as human thought itself, existing since even the lowest organisms respond differently to a varied environment and effectively order their own world. It is reasonable to expect that such an ancient and universal activity, until the most primitive human tribes or scientists alike, should have developed into a precise and unambiguous technique. It is, therefore, surprising that it still is not so. It is, therefore, surprising that despite a general agreement as to the categories represented by the birds of the earth, it is still not uncommon for different authors to arrive at altogether different classifications. At times, one may be evaluated more by the reputation of their author than in their approximation to reality. One of the reasons for this is probably the fact that even truly essential science has not yet reached more than a fraction of the birds of the world, so that empirical studies still predominate with their inevitable tendency towards authoritarianism.

It must necessarily be realized that the method of approach to any scientific problem is clearly of utmost importance. It will to a large extent determine the kind of discovery made. Or, to put the matter the other way round, the method of approach is itself largely dictated by the type of answer one wants to obtain; it is, in fact, also a kind of question. Furthermore, the question will alter with time and the progress of discovery, so that when one method has yielded the main cogging answers that it could be expected to provide, then it is time to ask another kind of question by adopting new methods.

This is just what has happened in the field of plant taxonomy, where the original approach is inevitably descriptive, because botanists set out to describe as fully and accurately as possible the variety of forms of the phenomena which they exhibit. This approach is designed to answer the basic question about what we, the facts, though it needs categories or divisions of all kinds of studies, these are rather arbitrarily chosen and hardly need to be more closely defined.

The descriptive method is soon supplemented by the comparative. This is first focused around the question of grouping or classification, because we need to know what pattern a system or arrangement of organisms has in common and what distinct types there are at various levels of characterization. This leads to classification of organisms in a hierarchical system of categories which have to be more or less exactly defined, although the degree of arbitrariness cannot be avoided.