Treebanks ranked by best Sentences
max maxteam avg stdev
1. ko_kaist 100.00 AntNLP 93.61 ±13.19
2. fro_srcmf 100.00 AntNLP 92.95 ±10.15
3. he_htb 100.00 AntNLP 92.81 ±17.02
4. cs_cac 100.00 UDPipe Future 92.63 ±17.01
5. eu_bdt 100.00 Stanford 92.12 ±16.78
6. pl_lfg 99.91 NLP-Cube 93.78 ±11.28
7. no_nynorsklia 99.86 AntNLP 90.10 ±12.64
8. ca_ancora 99.68 UDPipe Future 91.59 ±18.79
9. af_afribooms 99.65 NLP-Cube 90.98 ±18.66
10. pl_sz 99.59 Stanford 92.59 ±13.61
11. fa_seraji 99.50 NLP-Cube 91.48 ±17.96
12. it_isdt 99.38 UDPipe Future 93.80 ±16.44
13. hi_hdtb 99.29 Stanford 91.83 ±17.90
14. sl_ssj 99.24 Stanford 71.09 ±16.53
15. la_perseus 99.15 UDPipe Future 84.56 ±22.84
16. zh_gsd 99.10 Stanford 92.42 ±10.73
17. cs_fictree 99.07 Stanford 92.14 ±13.09
18. es_ancora 98.96 UDPipe Future 90.90 ±18.41
19. grc_perseus 98.93 Uppsala 91.65 ±16.82
20. ru_syntagrus 98.88 Stanford 87.24 ±18.13
21. sme_giella 98.79 NLP-Cube 87.03 ±19.96
22. lv_lvtb 98.66 UDPipe Future 88.48 ±13.22
23. ur_udtb 98.60 AntNLP 91.19 ±18.42
24. tr_imst 98.16 Stanford 90.90 ±12.89
25. hu_szeged 98.11 Stanford 88.41 ±17.93
26. gl_ctg 97.92 Stanford 85.52 ±19.78
27. sv_talbanken 97.91 Stanford 87.00 ±15.55
28. no_bokmaal 97.76 Stanford 88.56 ± 7.11
29. hr_set 97.43 Stanford 88.29 ±17.96
30. ro_rrt 97.06 Stanford 83.50 ±18.30
31. bg_btb 97.04 Stanford 86.83 ±14.49
32. en_pud 97.03 Stanford 88.42 ± 7.09
33. uk_iu 96.93 Stanford 84.87 ±16.26
34. cs_pud 96.29 Uppsala 87.47 ± 7.47
35. fo_oft 96.25 UDPipe Future 80.71 ±10.54
36. sv_pud 96.04 Phoenix 86.42 ± 7.17
37. no_nynorsk 95.83 Stanford 85.28 ± 6.88
38. fr_gsd 95.78 Stanford 85.70 ±16.99
39. ko_gsd 95.72 Stanford 85.47 ±11.03
40. ga_idt 95.38 NLP-Cube 79.10 ±23.67
41. ja_gsd 95.01 AntNLP 92.97 ±10.13
42. la_ittb 94.54 Uppsala 77.62 ±13.10
43. id_gsd 94.32 Stanford 85.50 ±16.85
44. sr_set 94.25 Stanford 85.28 ±17.37
45. kk_ktb 94.21 Uppsala 72.20 ±13.81
46. cs_pdt 94.17 Stanford 85.91 ±14.91
47. vi_vtb 93.51 Stanford 86.27 ±14.93
48. fi_pud 93.29 NLP-Cube 81.59 ±10.02
49. bxr_bdt 93.18 Uppsala 81.30 ±13.28
50. et_edt 92.87 Stanford 80.56 ±16.37
51. hy_armtdp 92.70 CUNI x-ling 82.52 ±19.17
52. el_gdt 92.41 Stanford 83.61 ±16.65
53. pt_bosque 92.41 Stanford 82.66 ±15.33
54. fi_tdt 92.15 HIT-SCIR 77.94 ±15.97
55. br_keb 91.97 AntNLP 79.72 ±18.78
56. da_ddt 91.84 Stanford 82.35 ±14.95
57. sk_snk 91.32 Stanford 78.90 ±13.68
58. nl_alpino 90.97 UDPipe Future 83.99 ±16.55
59. kmr_mg 90.85 Uppsala 64.81 ± 6.68
60. fr_sequoia 90.49 Stanford 77.66 ±14.82
61. en_lines 88.83 Stanford 81.89 ±14.33
62. fi_ftb 88.01 Stanford 81.33 ±12.55
63. sv_lines 87.44 NLP-Cube 79.36 ±14.18
64. ru_taiga 87.38 AntNLP 78.77 ±14.07
65. gl_treegal 84.99 NLP-Cube 74.51 ±21.57
66. ug_udt 84.36 Stanford 73.16 ±13.79
67. de_gsd 84.23 Stanford 75.45 ±14.38
68. en_gum 82.74 Stanford 73.59 ±13.16
69. en_ewt 82.49 Stanford 71.00 ± 9.67
70. ar_padt 80.89 AntNLP 71.28 ±14.86
71. nl_lassysmall 79.65 Stanford 68.11 ±11.77
72. hsb_ufal 74.51 AntNLP 66.10 ±16.08
73. it_postwita 65.90 Stanford 25.25 ±14.30
74. grc_proiel 51.84 HIT-SCIR 42.46 ± 7.33
75. cu_proiel 48.67 Stanford 35.54 ± 4.02
76. la_proiel 39.61 Stanford 33.40 ± 5.39
77. got_proiel 38.23 Stanford 27.22 ± 4.47
78. sl_sst 24.43 NLP-Cube 20.92 ± 4.70
79. fr_spoken 24.17 Stanford 20.43 ± 2.89
80. th_pud 12.37 TurkuNLP 1.75 ± 3.68
81. pcm_nsc 0.93 Stanford 0.06 ± 0.19
82. ja_modern 0.23 Stanford 0.01 ± 0.04