CoNLL

??? abstract "TLDR"

```{ .python .no-check }
import edsnlp

stream = edsnlp.data.read_conll(path)
stream = stream.map_pipeline(nlp)
```

You can easily integrate CoNLL formatted files into your project by using EDS-NLP's CoNLL reader.

There are many CoNLL formats corresponding to different shared tasks, but one of the most common is the CoNLL-U format, which is used for dependency parsing. In CoNLL files, each line corresponds to a token and contains various columns with information about the token, such as its index, form, lemma, POS tag, and dependency relation.

EDS-NLP lets you specify the name of the columns if they are different from the default CoNLL-U format. If the columns parameter is unset, the reader looks for a comment containing # global.columns to infer the column names. Otherwise, the columns are

ID, FORM, LEMMA, UPOS, XPOS, FEATS, HEAD, DEPREL, DEPS, MISC

A typical CoNLL file looks like this:

1   euh euh INTJ    _   _   5   discourse   _   SpaceAfter=No
2   ,   ,   PUNCT   _   _   1   punct   _   _
3   il  lui PRON    _   Gender=Masc|Number=Sing|Person=3|PronType=Prs   5   expl:subj   _   _
...

Reading CoNLL files {: #edsnlp.data.conll.read_conll }

::: edsnlp.data.conll.read_conll
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