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 14 · DO #4644 · 231_Rogers_Bx2FF6_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Roger's Class Notes, 1948
Digital Object
DO #4644, page 14
Collection-level dates
1948–1977
Open PDF at page 14 ↗

Page transcription

Engler's System of Angiosperms

Arrangement according to Engler & Diels--Syllabus der Pflanzenfamilien, 11th edition,
Berlin, 1936. (Suborders bracketed.)

Numbering according to arrangement used in 5th edition of Syllabus, 1907. These numbers
correspond to those used in Engler--Pflanzenreich, and those used in Dalla Torre & Harms--Genera Siphonogenum, Leipzig, 1900-1907. (Parenthetical numbers indicate segregate families established since 5th edition of Syllabus.)

Asterisks indicate families which have been radically changed in systematic position
(or which include genera which have been radically changed in systematic position)
between the 1st and 5th editions of the Syllabus.

Class MONOCOTYLEDONEAE
PANDANALIS
8. Typhaceae
9. Pandanaceae
10. Sparganiaceae
HELOBIAE
13. Aponogetonaceae
11. Potamogetonaceae
12. Najadaceae
14. Scheuchzeriaceae
15. Alismataceae
16. Butomaceae
17. Hydrocharitaceae
TRIURIDALES
18. Triuridaceae
GLUMI FLORAE
19. Cramineae
20. Cyperaceae
PRINCIPIES
21. Palmae
SYNANTHAE
22. Cyclanthaceae
SPATHIFLORAIE
23. Areceae
24. Lemnaceae
FARINGSAE
25. Flagellarisceae
26. Restionaceae
27. Centrolepidaceae
28. Mayaccae
29. Xyridaceae
30e. Thurniaceae
31. Rapateaceae
32. Bromeliaceae
33. Commelinaceae
34. Pontederiaceae
34e. Cyanotraceae
35. Philydraceae

MONOCOTS (cont.)
LILIIFLORE
36. Juncaceae
(37. Stemonaceae
39. Liliaceae
39. Haemodoraceae
40. Amaryllidaceae
41. Velziocaceae
42. Taccaceae
43. Dioscoreaceae
44. Iridaceae
SCITAMINEAE
45. Musaceae
46. Zingiberaceae
47. Cannaceae
48. Marantaceae
MICROSPERMAE
49. Burmanniaceae
50. Orchidaceae

DICOTS (cont.)
LEITNERIALES
59. Leitneriaceae
JUGLANDALES
60. Juglandaceae
JULIANALES
60b. Julianaceae
BATIDALES
60s, 81. Estidaceae*
FAGALES
61. Betulaceae
62. Fagaceae
URTICALES
63. Ulmaceae
-- Rhoipteleaceae
64. Moraceae
65. Urticaceae
PODOSTEMONALES
113. Podostemoneacee*
PROTEALS
66. Proteaceae
SANTALALES
72. Olsocaceae
71. Opiliaceae
(72.) Octoknemataceae
70. Grubbiaceae
69. Santalaceae
68. Myzodendraceae
67. Loranthaceae
ARISTOLOCHIALES
74. Aristolochiaceae
75. Rafflesiaceae
76. Hydnoraceae
BALANOPHORALES
73. Balanophoraceae
POLYGONALES
77. Polygonaceae

Class DICOTYLEDONEAE
Subclass Archichlamydeae
VERTICILLATAE
51. Caesariaceae*
HIPERALES
52. Saururaceae
53. Piperaeae
54. Chlorenthaceae
HYDROSTACHYALIFS
114. Hydrostachyaceae*
SALICALES
55. Salicaceae
CARRYALES
56a. Carryaceae*
MYRICALES
57. Myricaceae
BALANOPSIDALES
58. Balanopsidaceae