duydvu / scalable-vncorenlp Goto Github PK
View Code? Open in Web Editor NEWEasily increase the capacity of the VnCoreNLP service to handle huge dataset.
License: GNU General Public License v3.0
Easily increase the capacity of the VnCoreNLP service to handle huge dataset.
License: GNU General Public License v3.0
Hi, I ran your code with 1000 samples from a list of texts (texts
)
from vncorenlp import VnCoreNLP
annotator = VnCoreNLP('http://localhost', 8000)
times = 1000
start = time.time()
for i in range(times):
annotator.tokenize(texts[i])
end = time.time()
and compared the total time with py_vncorenlp
code:
import py_vncorenlp
annotator = py_vncorenlp.VnCoreNLP(annotators=["wseg"], save_dir="..../VnCoreNLP")
times = 1000
start = time.time()
for i in range(times):
annotator.word_segment(texts[i])
end = time.time()
The result I got is that your code is much slower than py_vncorenlp
version. Am I wrong at something, maybe my testing approach is wrong ? please let me know your solution
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