Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Yves Scherrer"'
Publikováno v:
Linguistik Online, Vol 98, Iss 5 (2019)
Although Swiss dialects of German are widely used in everyday communication, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerable regional var
Externí odkaz:
https://doaj.org/article/6ac8b598d96448f5bca07283ad603edb
Publikováno v:
Natural Language Engineering. 26:595-612
There has been a lot of recent interest in the natural language processing (NLP) community in the computational processing of language varieties and dialects, with the aim to improve the performance of applications such as machine translation, speech
Publikováno v:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA.
Anterior knee pain (AKP) is common following total knee arthroplasty. The tibial tuberosity trochlear groove distance (TTTG) influences patellofemoral joint loading in the native knee. Increased TTTG may lead to maltracking of the patella and anterio
Autor:
Yves Scherrer, Nikola Ljubešić
Publikováno v:
University of Helsinki
This paper describes the Helsinki-Ljubljana contribution to the VarDial 2021 shared task on social media variety geolocation. Following our successful participation at VarDial 2020, we again propose constrained and unconstrained systems based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b9b2364ae510ce830e42242635c18574
http://hdl.handle.net/10138/330173
http://hdl.handle.net/10138/330173
Publikováno v:
University of Helsinki
Sapienza Università di Roma-IRIS
Sapienza Università di Roma-IRIS
Lexical ambiguity is one of the many challenging linguistic phenomena involved in translation, i.e., translating an ambiguous word with its correct sense. In this respect, previous work has shown that the translation quality of neural machine transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21be088acd79e016061847e31f2368a2
Publikováno v:
Sapienza Università di Roma-IRIS
University of Helsinki
University of Helsinki
This paper reports on our participation with the MUCOW test suite at the WMT 2020 news translation task. We introduced MUCOW at WMT 2019 to measure the ability of MT systems to perform word sense disambiguation (WSD), i.e., to translate an ambiguous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c2db79d1da0618c6f5e5f71b936cc6cf
http://hdl.handle.net/10281/361589
http://hdl.handle.net/10281/361589
Publikováno v:
Linguistik Online, Vol 98, Iss 5 (2019)
Although Swiss dialects of German are widely used in everyday communication, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerable regional var
Autor:
Yves Scherrer, Philipp Stoeckle
Publikováno v:
Dialectologia et Geolinguistica, Vol. 24, No 1 (2016) pp. 92-125
Dialectologia et Geolinguistica
Dialectologia et Geolinguistica
German-speaking Switzerland can certainly be regarded as one of the liveliest and at the same time best researched dialect areas in Central Europe. It is all the more surprising that dialectometric analyses in this area have only recently been perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d49b87c9b48a0b5c0c0d32e2b2e00e2
http://doc.rero.ch/record/325929/files/dialect-2016-0006.pdf
http://doc.rero.ch/record/325929/files/dialect-2016-0006.pdf
Publikováno v:
WMT (2)
Supervised Neural Machine Translation (NMT) systems currently achieve impressive translation quality for many language pairs. One of the key features of a correct translation is the ability to perform word sense disambiguation (WSD), i.e., to transla
Autor:
Miikka Silfverberg, Radu Tudor Ionescu, Natalia Klyueva, Tanja Samardžić, Chu-Ren Huang, Tung-Le Pan, Francis M. Tyers, Andrei M. Butnaru, Shervin Malmasi, Marcos Zampieri, Tommi Jauhiainen, Yves Scherrer
Publikováno v:
Proceedings of the Sixth Workshop on
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of the sixth edition of the workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with NAACL