Following the development of the universal dependencies (UD) framework and the CoNLL 2017 Shared Task on end-to-end UD parsing, we address the need for a universal representation of morphological analysis which on the one hand can capture a range of different alternative morphological analyses of surface tokens, and on the other hand is compatible with the segmentation and morphological annotation guidelines prescribed for UD treebanks. We propose the CoNLL universal lattices (CoNLL-UL) format, a new annotation format for word lattices that represent morphological analyses, and provide resources that obey this format for a range of typologically different languages. The resources we provide are harmonized with the two-level representation and morphological annotation in their respective UD v2 treebanks, thus enabling research on universal models for morphological and syntactic parsing, in both pipeline and joint settings, and presenting new opportunities in the development of UD resources for low-resource languages.
|Title of host publication||LREC 2018 - 11th International Conference on Language Resources and Evaluation|
|Editors||Hitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga|
|Publisher||European Language Resources Association (ELRA)|
|Number of pages||7|
|State||Published - 2019|
|Event||11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan|
Duration: 7 May 2018 → 12 May 2018
|Name||LREC 2018 - 11th International Conference on Language Resources and Evaluation|
|Conference||11th International Conference on Language Resources and Evaluation, LREC 2018|
|Period||7/05/18 → 12/05/18|
Bibliographical notePublisher Copyright:
© LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserved.
- Morphological Ambiguity
- Morphological Analysis
- Universal Dependencies