Evaluation Datasets for Word Embeddings
[sample]
hurt offend V 6.81 SYNONYMS
clarify worry V 0.33 NONE
fasten attach V 8.47 HYPER/HYPONYMS
Evaluation Datasets for Word Embeddings
[sample]
hurt offend V 6.81 SYNONYMS
clarify worry V 0.33 NONE
fasten attach V 8.47 HYPER/HYPONYMS
On Mac OS, managing Python versions with homebrew is not trivial, almost impossible.
Here, I uninstall pre-installed python version and re-install a new specific version.
ls -l /usr/local/bin | grep /Library/Frameworks/Python.framework/Versions/3 | awk '{print "rm \47/usr/local/bin/" $9 "\47"}'
ls -d /Library/Frameworks/Python.framework/Versions/3.* 2> /dev/null | awk '{print "rm -rf \47" $0 "\47"}'
import spacy | |
nlp = spacy.load('de') | |
for doc in nlp.pipe(texts, n_threads=16, batch_size=10000): | |
analyse_text(doc) |
frequency | abbreviation | phrase | |
---|---|---|---|
50580 | MRI | magnetic resonance imaging | |
48054 | BMI | body mass index | |
45890 | CT | computed tomography | |
42919 | NO | nitric oxide | |
42320 | ROS | reactive oxygen species | |
42072 | PCR | polymerase chain reaction | |
41060 | AD | Alzheimer's disease | |
35266 | LPS | lipopolysaccharide | |
35101 | IL | interleukin |