Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Wahle, Johannes"'
Autor:
Kofler, Florian, Wahle, Johannes, Ezhov, Ivan, Wagner, Sophia, Al-Maskari, Rami, Gryska, Emilia, Todorov, Mihail, Bukas, Christina, Meissen, Felix, Peng, Tingying, Ertürk, Ali, Rueckert, Daniel, Heckemann, Rolf, Kirschke, Jan, Zimmer, Claus, Wiestler, Benedikt, Menze, Bjoern, Piraud, Marie
Machine learning models are typically evaluated by computing similarity with reference annotations and trained by maximizing similarity with such. Especially in the biomedical domain, annotations are subjective and suffer from low inter- and intra-ra
Externí odkaz:
http://arxiv.org/abs/2301.00243
Autor:
Jäger, Gerhard, Wahle, Johannes
In this article we propose a novel method to estimate the frequency distribution of linguistic variables while controlling for statistical non-independence due to shared ancestry. Unlike previous approaches, our technique uses all available data, fro
Externí odkaz:
http://arxiv.org/abs/2103.10198
We evaluate the performance of state-of-the-art algorithms for automatic cognate detection by comparing how useful automatically inferred cognates are for the task of phylogenetic inference compared to classical manually annotated cognate sets. Our f
Externí odkaz:
http://arxiv.org/abs/1804.05416
In this paper we explore the use of unsupervised methods for detecting cognates in multilingual word lists. We use online EM to train sound segment similarity weights for computing similarity between two words. We tested our online systems on geograp
Externí odkaz:
http://arxiv.org/abs/1702.04938
Autor:
Dellert, Johannes, Daneyko, Thora, Münch, Alla, Ladygina, Alina, Buch, Armin, Clarius, Natalie, Grigorjew, Ilja, Balabel, Mohamed, Boga, Hizniye Isabella, Baysarova, Zalina, Mühlenbernd, Roland, Wahle, Johannes, Jäger, Gerhard
Publikováno v:
Language Resources and Evaluation, 2020 Jan 01. 54(1), 273-301.
Externí odkaz:
https://www.jstor.org/stable/48740866
Autor:
Wahle, Johannes
Computergestützte Methoden in der historischen Linguistik haben in den letzten Jahren einen großen Aufschwung erlebt. Die wachsende Verfügbarkeit maschinenlesbarer Daten förderten diese Entwicklung ebenso wie die zunehmende Leistungsfähigkeit vo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f25378a2ca569471a8906372f4ddd188
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Evolution of Language, the - Proceedings of the 9th International Conference (Evolang9); 2012, p96-103, 8p
Autor:
Willems, Annelore, De Sutter, Gert
Publikováno v:
Proceedings of the 6th Conference on Quantitative Investigations in Theoretical Linguistics, Proceedings
The present paper aims at refining current knowledge about the driving forces in Dutch constituent ordering of non-predicate prepositional phrases (PPs) as well as re-evaluating the common assumption in traditional Dutch reference grammars that the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______330::cee1234c3cdb99244e494ae74030dafc
https://biblio.ugent.be/publication/7039502
https://biblio.ugent.be/publication/7039502
Autor:
Pijpops, Dirk, Speelman, Dirk
This paper presents a corpus study of the alternation between the reflexive and transitive argument constructions of the Dutch psych verbs ergeren (‘to annoy’), interesseren (‘to interest’), storen (‘to disturb’) and verbazen (‘to amaze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::026f7e28d6c6efab9924d12782a634f8
https://lirias.kuleuven.be/handle/123456789/515075
https://lirias.kuleuven.be/handle/123456789/515075