Utility for converting Universal Dependencies–annotated corpora to UniMorph

The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of a language. Each project also provides corpora of annotated text in many languages—UD at the token level and UniMorph at the type level. As each corpus is built by different annotators, language-specific decisions hinder the goal of universal schemata. To ease this interoperability, we present a deterministic mapping from Universal Dependencies v2 features into the UniMorph schema.

• termcolor: pip install termcolor
• Python 3.5 or later; Anaconda is a simple way to install it.

The driver of the entire endeavor is the file marry.py, which marries a UD dataset to its affiliated UniMorph.

To convert one file to UniMorph, give the path (and optionally the specific language converter you'd like to use).

python marry.py convert --ud my/ud/path/rw-ud-dev.conllu
python marry.py convert --ud my/ud/path/da-ud-dev.conllu -l da

To convert your UD dataset to UniMorph, list the languages you'd like to convert:

python marry.py convert --langs he ro de it no_bokmaal 

(You'll need to update the paths in paths.py to reflect where your UD (and UniMorph, if evaluating) data are stored.)

When the input looks like this:

# sent_id = es-train-001-s21
# text = Tiene 2 madres.
1	Tiene	tener	VERB	_	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
2	2	2	NUM	_	NumType=Card	3	nummod	_	_
3	madres	madre	NOUN	_	Gender=Masc|Number=Plur	1	obj	_	SpaceAfter=No
4	.	.	PUNCT	_	_	1	punct	_	_

The output will look like this:

# sent_id = es-train-001-s21
# text = Tiene 2 madres.
1	Tiene	tener	VERB	_	PRS;V;FIN;3;IND;SG	0	root	_	_
2	2	2	NUM	_	NUM	3	nummod	_	_
3	madres	madre	NOUN	_	N;PL;MASC	1	obj	_	SpaceAfter=No
4	.	.	PUNCT	_	_	1	punct	_	_

To assess a conversion (either of the included Translator objects or your own), the syntax is similar:

python marry.py evaluate --langs he ro de it no_bokmaal 

(You'll need to update the paths in paths.py to reflect where your UD (and UniMorph, if evaluating) data are stored.)

To replicate the experiments from the paper, use:

python marry.py replicate 

The individual datasets for Universal Dependencies v2 and UniMorph can be downloaded from their respective projects on GitHub.

You're welcome to submit a pull request, harmonizing your UD dataset with the corresponding UniMorph.

1. Write your own Translator subclass.
2. Register it in the languages.py list.
3. Submit the Pull Request.

This project is licensed under the GNU GPL v3 license; see the LICENSE.md file for details.

@InProceedings{mccarthy2018udw,
  author = 	"McCarthy, Arya D.
		and Silfverberg, Miikka
		and Cotterell, Ryan
		and Hulden, Mans
		and Yarowsky, David",
  title = 	"Marrying {U}niversal {D}ependencies and {U}niversal {M}orphology",
  booktitle = 	"Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)",
  year = 	"2018",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"91--101",
  location = 	"Brussels, Belgium",
  url = 	"http://aclweb.org/anthology/W18-6011"
}