Datasets:

Modalities:
Text
Formats:
json
Languages:
Basque
Libraries:
Datasets
pandas
License:
File size: 1,493 Bytes
afb9a85
 
f493343
 
 
 
 
afb9a85
f493343
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
---
license: cc-by-nc-sa-4.0
language:
- eu
pretty_name: BL2MP
size_categories:
- 1K<n<10K
---

# BL2MP

BL2MP (Basque L2 student-based Minimal Pairs) test set from our work [*How Well Can BERT Learn the Grammar of an Agglutinative and Flexible-Order Language? The Case of Basque.*]() accepted at LREC-COLING2024.

See [https://github.com/orai-nlp/bl2mp](https://github.com/orai-nlp/bl2mp) for more.


Authors
-----------
Gorka Urbizu [1] [2], Muitze Zulaika [1], Xabier Saralegi [1], Ander Corral [1]

Affiliation of the authors: 

[1] Orai NLP Technologies

[2] University of the Basque Country


Licensing
-------------

Copyright (C) by Orai NLP Technologies. 

The corpora, datasets and models created in this work, are licensed under the Creative Commons Attribution-ShareAlike 4.0.

International License (CC BY-SA 4.0). To view a copy of this license, visit [http://creativecommons.org/licenses/by-sa/4.0/](https://creativecommons.org/licenses/by-sa/4.0/).



Acknowledgements
-------------------
If you use these corpora, datasets or models please cite the following paper:

- G. Urbizu, M. Zulaika, X. Saralegi, A. Corral. How Well Can BERT Learn the Grammar of an Agglutinative and Flexible-Order Language? The Case of Basque. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024). May, 2024. Torino, Italia



Contact information
-----------------------
Gorka Urbizu, Muitze Zulaika: {g.urbizu,m.zulaika}@orai.eus