Jordan (top-level) could not disambiguate sense: female given name
1 1 1 1 2 1 1 1 1 2 1 2 2 1 1 1 1 0 1 1 0 28 28 22
Christian (top-level) could not disambiguate sense: female given name
45 49 3 3
Florence (top-level) could not disambiguate sense: female given name
0 0 30 29 1 0 1 2 1 1 1 2 2 2 1 1 1 1 2 2 2 1 1 2 1 1 1 1 2 1 1 1 2 1 2 1 0
Ryan (top-level) could not disambiguate sense: female given name
1 1 1 1 21 21 23 23 1 1 1 1 1 1 1 1 1 1
Dana (top-level) could not disambiguate sense: female given name
1 23 25 23 25 1 1 1 0 1 0 0
Charlie (top-level) could not disambiguate sense: female given name
49 49 1
Lauren (top-level) could not disambiguate sense: female given name
47 47 3 3
Kelly (top-level) could not disambiguate sense: female given name
2 38 38 2 2 2 3 2 2 2 2 2 2 2 1
Kelly (top-level) could not disambiguate sense: female given name
2 38 38 2 2 2 3 2 2 2 2 2 2 2 1
Anya (top-level) could not disambiguate sense: female given name
48 52
Bailey (top-level) could not disambiguate sense: female given name
2 2 2 40 43 1 2 3 2 2 2 2
Hyacinth (top-level) could not disambiguate sense: female given name
1 50 49
Hope (top-level) could not disambiguate sense: female given name
29 2 29 1 1 1 1 1 1 1 2 1 2 2 2 2 1 1 1 1 1 1 1 1 2 1 2 1 1 2 1
Morgan (top-level) could not disambiguate sense: female given name
36 36 2 2 2 2 1 0 1 2 1 1 2 2 1 1 2 2 1 2
Kim (top-level) could not disambiguate sense: female given name
50 50
Savannah (top-level) could not disambiguate sense: female given name
1 2 3 2 2 2 2 2 2 2 40 40
Trinity (top-level) could not disambiguate sense: female given name
1 42 50 1 0 2 0 1 1 1 1
Sharon (top-level) could not disambiguate sense: female given name
0 47 44 3 2 2 4
Leslie (top-level) could not disambiguate sense: female given name
3 40 41 1 1 1 2 2 2 2 2 3 1 1
Sasha (top-level) could not disambiguate sense: female given name
48 52
Cameron (top-level) could not disambiguate sense: female given name
2 2 34 34 1 2 2 2 1 1 2 1 1 1 1 1 1 1 2 1 2 2 1 0 0
Cassidy (top-level) could not disambiguate sense: female given name
2 2 46 48 2
Audrey (top-level) could not disambiguate sense: female given name
52 48
Evelyn (top-level) could not disambiguate sense: female given name
50 3 47
Augusta (top-level) could not disambiguate sense: female given name
40 2 1 1 2 1 2 1 2 1 1 2 1 2 1 1 1 0 1 1 35
Jody (top-level) could not disambiguate sense: female given name
34 34 31 1
Justine (top-level) could not disambiguate sense: female given name
54 46
Madison (top-level) could not disambiguate sense: female given name
2 2 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 2 1 1 1 30 29
Jocelyn (top-level) could not disambiguate sense: female given name
47 3 50 0
Vivian (top-level) could not disambiguate sense: female given name
47 50 3
Hilary (top-level) could not disambiguate sense: female given name
47 50 3
Sabina (top-level) could not disambiguate sense: female given name
48 52
Carmen (top-level) could not disambiguate sense: female given name
48 48 4 0 0
Ella (top-level) could not disambiguate sense: female given name
47 47 1 2 2 2
Laurie (top-level) could not disambiguate sense: female given name
25 27 27 18 0 2
Shelby (top-level) could not disambiguate sense: female given name
5 45 42 2 3 1 2
Vic (top-level) could not disambiguate sense: female given name
47 51 1 1
Lindsay (top-level) could not disambiguate sense: female given name
3 3 38 38 2 2 2 2 3 2 2 1 1
Hillary (top-level) could not disambiguate sense: female given name
49 48 3
Brunhild (top-level) could not disambiguate sense: female given name
2 49 49 1
Marley (top-level) could not disambiguate sense: female given name
1 0 0 3 4 2 43 46
Ilham (top-level) could not disambiguate sense: female given name
48 52
This page is a part of the kaikki.org machine-readable Kannada dictionary. This dictionary is based on structured data extracted on 2024-04-22 from the enwiktionary dump dated 2024-04-21 using wiktextract (fc4f0c7 and c937495). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.