Google's SyntaxNet Parser and POS tagger with a model for Russian language.
echo "мама мыла раму" | docker run --rm -i inemo/syntaxnet_rus
...
Input: Name this boat
Parse (CONLL format):
1 мама _ NOUN _ Animacy=Anim|Case=Nom|Gender=Fem|Number=Sing|fPOS=NOUN++ 2 nsubj _ _
2 мыла _ VERB _ Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act|fPOS=VERB++ 0 ROOT _ _
3 раму _ NOUN _ Animacy=Inan|Case=Acc|Gender=Fem|Number=Sing|fPOS=NOUN++ 2 dobj _ _
docker run --shm-size=1024m -ti --rm -p 8111:9999 inemo/syntaxnet_eng server 0.0.0.0 9999
Note that, although the current container installs model for Russian, the implemented server can be used for any language (any model trained in SyntaxNet).
2.1 You also can use the server in conjunction with SyntaxNet python wrapper.
2.2 You can use telnet to talk with parser (be aware about escape problems of unicode in telnet, e.g., 'маму' will not work by default via telnet):
telnet localhost 8111
мама мыла
1 мама _ NOUN _ Animacy=Anim|Case=Nom|Gender=Fem|Number=Sing|fPOS=NOUN++ 2 nsubj _ _
2 мыла _ VERB _ Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act|fPOS=VERB++ 0 ROOT _ _
cd <project_path>/docker/
./build.sh
#docker login
#docker build -t inemo/syntaxnet_rus --no-cache . && docker push inemo/syntaxnet_rus