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Европейский ADJ | Case = Nom | Degree = Pos | Gender = Masc | Number = Sing load( 'slovnet_morph_news_v1.tar', batch_size = 4) > from razdel import sentenize, tokenize > from navec import Navec > from slovnet import Morph > chunk = To split the input into sentencies and tokens use Morphology annotator processes tokenized text. Russian syntax parser optimized for news articles.ĭuring inference Slovnet depends only on Numpy. Russian morphology tagger optimized for news articles. Russian NER, standart PER, LOC, ORG annotation, trained on news articles. Morphology tagger and syntax parser have comparable accuracy on news dataset with large SOTA BERT models, take 50 times less space (~30 MB), work faster on CPU (~500 sentences/sec). NER is 1-2% worse than current BERT SOTA by DeepPavlov but 60 times smaller in size (~30 MB) and works fast on CPU (~25 news articles/sec). Slovnet provides high quality practical models for Russian NER, morphology and syntax, see


Similarly, the Anaconda Python distrubution comes pre-installed with numpy and numerous other common packages.Īnother popular source is the conda package manager, which also supports virtual environments.SlovNet is a Python library for deep-learning based NLP modeling for Russian language. If you don't want to mess around with single packages, you can use the Winpython distribution which bundles most packages together and provides a confined environment to work with.
NUMPY PYTHON 3.5 DOWNLOAD INSTALL
NUMPY PYTHON 3.5 DOWNLOAD WINDOWS
NUMPY PYTHON 3.5 DOWNLOAD 64 BIT
Choose a version according to your Python version and system.Īn example for Python 3.5 on a 64 bit system: One source for precompiled wheels of many packages is Christopher Gohkle's site. The easiest way to install on Windows is by using precompiled binaries. Numpy installation through pypi (the default package index used by pip) generally fails on Windows computers.
