spaCy/website/usage/_facts-figures/_benchmarks-choi-2015.jade

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//- 💫 DOCS > USAGE > FACTS & FIGURES > BENCHMARKS > CHOI ET AL. (2015)
+table(["System", "Year", "Language", "Accuracy", "Speed (wps)"])
+row
+cell #[strong spaCy v2.x]
+cell 2017
+cell Python / Cython
+cell("num") #[strong 92.6]
+cell("num") #[em n/a]
| #[+help("This table shows speed as benchmarked by Choi et al. We therefore can't provide comparable figures, as we'd be running the benchmark on different hardware.").u-color-dark]
+row
+cell #[strong spaCy v1.x]
+cell 2015
+cell Python / Cython
+cell("num") 91.8
+cell("num") 13,963
+row
+cell ClearNLP
+cell 2015
+cell Java
+cell("num") 91.7
+cell("num") 10,271
+row
+cell CoreNLP
+cell 2015
+cell Java
+cell("num") 89.6
+cell("num") 8,602
+row
+cell MATE
+cell 2015
+cell Java
+cell("num") 92.5
+cell("num") 550
+row
+cell Turbo
+cell 2015
+cell C++
+cell("num") 92.4
+cell("num") 349