ud2pos 0.11

Method to get part-of-speech tags from universal dependencies data.

# ud2pos

[](https://circleci.com/gh/tpimentelms/ud2pos)

This code creates a map from wordform to part-of-speech using UD data.

## Using this simple part-of-speech tagger

To use the ud2pos tagger, first install this repository and then instantiate the UdTagger class.

### Install Repository

To install the code in this repository run: `bash $ pip install -e . `

### Use code

To use the ud2pos tagger, add the following to your script: `python import ud2pos language = 'english' tagger = ud2pos.UdTagger(language) print('Pos tag is: %s' % tagger('Hi')) ` This pos tagger will return ‘UNK’ for words not in the universal dependencies.

## Adding new languages

To process ud data for new languages, run the following commands:

### Install Dependencies

Create a conda environment with `bash $ conda env create -f environment.yml `

### Download and parse universal dependencies (UD) data

You can easily download UD data with the following command `bash $ make get_ud `

You can then get the embeddings for a language with command `bash $ make process LANGUAGE=<language> ` As languages, you should be able to experiment on any in UD. For instance: ‘english’; ‘czech’; ‘basque’; ‘finnish’; ‘turkish’; ‘arabic’; ‘japanese’; ‘tamil’; ‘korean’; ‘marathi’; ‘urdu’; ‘telugu’; ‘indonesian’.

## Extra Information

#### Contact

To ask questions or report problems, please open an [issue](https://github.com/tpimentelms/ud2pos/issues).