DE eng

Search in the Catalogues and Directories

Hits 1 – 14 of 14

1
Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
BASE
Show details
2
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ...
BASE
Show details
3
Jump-Starting Item Parameters for Adaptive Language Tests ...
BASE
Show details
4
Unsupervised Morphological Paradigm Completion ...
Jin, Huiming; Cai, Liwei; Peng, Yihui. - : arXiv, 2020
BASE
Show details
5
Predicting Declension Class from Form and Meaning ...
BASE
Show details
6
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
BASE
Show details
7
Predicting Declension Class from Form and Meaning
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
BASE
Show details
8
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
BASE
Show details
9
UniMorph 3.0: Universal Morphology ...
BASE
Show details
10
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
Abstract: A grammatical gender system divides a lexicon into a small number of relatively fixed grammatical categories. How similar are these gender systems across languages? To quantify the similarity, we define gender systems extensionally, thereby reducing the problem of comparisons between languages’ gender systems to cluster evaluation. We borrow a rich inventory of statistical tools for cluster evaluation from the field of community detection (Driver and Kroeber, 1932; Cattell, 1945), that enable us to craft novel information theoretic metrics for measuring similarity between gender systems. We first validate our metrics, then use them to measure gender system similarity in 20 languages. We then ask whether our gender system similarities alone are sufficient to reconstruct historical relationships between languages. Towards this end, we make phylogenetic predictions on the popular, but thorny, problem from historical linguistics of inducing a phylogenetic tree over extant Indo-European languages. Of particular ... : Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ...
URL: http://hdl.handle.net/20.500.11850/462323
https://dx.doi.org/10.3929/ethz-b-000462323
BASE
Hide details
11
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
BASE
Show details
12
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
BASE
Show details
13
Modeling Color Terminology Across Thousands of Languages ...
BASE
Show details
14
Marrying Universal Dependencies and Universal Morphology ...
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
14
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern