sbx-rus-pos-treetagger

This analysis is used with Sparv. Check out Sparv's quick start guide to get started!

To use this analysis, add the following line under export.annotations in the Sparv corpus configuration file:

- <token>:treetagger.pos  # Part-of-speeches from TreeTagger

In order to use this annotation you need to add the following setting to your Sparv corpus configuration file:

metadata:
  language: rus

For more info on how to use Sparv, check out the Sparv documentation.

Example output:

<token pos="Vmip3s-a-e">Существует</token>
<token pos="Ncmsan">ряд</token>
<token pos="Ncfpgn">гипотез</token>
<token pos="Sp-l">о</token>
<token pos="Ncnsln">происхождении</token>
<token pos="Ncmsgn">языка</token>
<token pos=",">,</token>
<token pos="C">но</token>
<token pos="Q">ни</token>
<token pos="P--fsna">одна</token>
<token pos="Sp-g">из</token>
<token pos="P-3-pgn">них</token>
<token pos="Q">не</token>
<token pos="Vmip3s-a-e">может</token>
<token pos="Vmn----a-e">быть</token>
<token pos="Vmps-sfpsp">подтверждена</token>
<token pos="Ncmpin">фактами</token>
<token pos="Ncmsgn">из-за</token>
<token pos="Afpfsgf">огромной</token>
<token pos="Ncfsgn">отдалённости</token>
<token pos="Ncnsgn">происхождения</token>
<token pos="Ncmsgn">языка</token>
<token pos="Sp-g">от</token>
<token pos="P--nsga">нашего</token>
<token pos="Ncnsgn">времени</token>
<token pos="SENT">.</token>