LTP For Rust
传统机器学习方法(LTP 3)实现的 CWS / POS / NER 算法。
method |
ltp 3.0(c++) |
ap(1) |
ap(8) |
pa |
pa-i(0.5) |
pa-ii(0.5) |
cws |
97.83 |
97.93 |
97.67 |
97.90 |
97.90 |
97.93 |
pos |
98.35 |
98.41 |
98.30 |
98.39 |
98.39 |
98.38 |
ner |
94.17 |
94.28 |
93.42 |
94.02 |
94.06 |
93.95 |
features
Benchmark Compare with Jieba
- File Size: 33.85 MB
- Hard Ware:
- MacBook Pro (16-inch, 2019)
- 处理器: 2.6 GHz 六核Intel Core i7
- 内存: 16 GB 2667 MHz DDR4
- 图形卡: Intel UHD Graphics 630 1536 MB
Algorithm |
Time(s) |
Speed(KB/s) |
Jieba cut |
35.29 |
982.49 |
LTP legacy(1) |
58.64 |
591.04 |
LTP legacy(2) |
30.64 |
1131.30 |
LTP legacy(4) |
17.14 |
2022.50 |
LTP legacy(8) |
11.39 |
3044.15 |
LTP legacy(16) |
9.88 |
3508.93 |
Benchmark Pipeline
- File Size: 33.85 MB
- Hard Ware:
- MacBook Pro (16-inch, 2019)
- 处理器: 2.6 GHz 六核Intel Core i7
- 内存: 16 GB 2667 MHz DDR4
- 图形卡: Intel UHD Graphics 630 1536 MB
Algorithm |
Time(s) |
Speed(KB/s) |
LTP legacy(1) |
139.70 |
248.11 |
LTP legacy(2) |
75.18 |
461.04 |
LTP legacy(4) |
42.96 |
806.76 |
LTP legacy(8) |
29.34 |
1181.39 |
LTP legacy(16) |
26.28 |
1318.84 |