Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Veronika Laippala"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2023)
When exploring the characteristics of a discourse domain associated with texts, keyword analysis is widely used in corpus linguistics. However, one of the challenges facing this method is the evaluation of the quality of the keywords. Here, we propos
Externí odkaz:
https://doaj.org/article/36260084662a452d831559e1b51160d1
Autor:
Veronika Laippala
Publikováno v:
Discours, Vol 20 (2017)
Adopting a text linguistic, corpus-based approach, this article studies variation in the marking of text organization. Why is text organization sometimes signaled very precisely, while sometimes signaling does not occur at all? The focus is on a part
Externí odkaz:
https://doaj.org/article/9bbc5421d44e40c895ca51cf43001263
Publikováno v:
Eesti ja Soome-ugri Keeleteaduse Ajakiri, Vol 8, Iss 2 (2017)
This study presents a methodological toolbox for big data analysis of linguistic constructions by introducing dependency profiles, i.e., co-occurrences of linguistic elements with syntax information. These were operationalized by reconstructing sente
Externí odkaz:
https://doaj.org/article/df71cd2866cb42c089a3628855617e3a
Autor:
Valtteri Skantsi, Veronika Laippala
Publikováno v:
Nordic Journal of Linguistics. :1-31
This article introduces the Finnish Corpus of Online Registers (FinCORE) representing the full range of registers – situationally defined text varieties such as news and blogs – on the Finnish Internet. The extreme range of language use found onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::630fb0df37834902cd8fcad718eb7e09
https://doi.org/10.1017/s0332586523000021
https://doi.org/10.1017/s0332586523000021
Autor:
Veronika Laippala, Samuel Rönnqvist, Miika Oinonen, Aki-Juhani Kyröläinen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo
Publikováno v:
Language Resources and Evaluation.
This article examines the automatic identification of Web registers, that is, text varieties such as news articles and reviews. Most studies have focused on corpora restricted to include only preselected classes with well-defined characteristics. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a936fd1eb0b5ddfe53b0be6a7a440934
https://doi.org/10.1007/s10579-022-09624-1
https://doi.org/10.1007/s10579-022-09624-1
Autor:
Marjut Johansson, Veronika Laippala
Publikováno v:
Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA). 30:179-200
The Twitter discussion with the hashtag #jesuisCharlie was a large-scale social media event commenting on the tragic terrorist attack that took place in Paris in 2015. In this paper, we analyze French tweets compiled with language technology methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4cc2cf9fa33afcfbcf9c201a5e743f
https://doi.org/10.1075/prag.18066.joh
https://doi.org/10.1075/prag.18066.joh
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3047a954fb2255379af14172fb2a02cd
https://doi.org/10.18653/v1/2022.findings-acl.85
https://doi.org/10.18653/v1/2022.findings-acl.85
Publikováno v:
Sananjalka. 60:96-117
People 'kansa' in digital discourses. Corpus-assisted discourse analysis on Suomi24 discussion forum. In this paper, our objective is to analyze how participants use the word kansa 'people' on the largest discussion forum in Finland, called Suomi24 (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd7f95107989e5c0a71b3a7c0b6cb753
https://doi.org/10.30673/sja.69963
https://doi.org/10.30673/sja.69963
Autor:
Steven Coats, Veronika Laippala
This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines.New approaches have emerged in recent years t
Autor:
Anna Salmela, Douglas Biber, Sampo Pyysalo, Veronika Laippala, Jesse Egbert, Liina Repo, Samuel Rönnqvist, Miika Oinonen, Valtteri Skantsi, Saara Hellström
Publikováno v:
EACL (Student Research Workshop)
We explore cross-lingual transfer of register classification for web documents. Registers, that is, text varieties such as blogs or news are one of the primary predictors of linguistic variation and thus affect the automatic processing of language. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4dfd83e5268a1ad0862cae354fe830a
https://doi.org/10.18653/v1/2021.eacl-srw.24
https://doi.org/10.18653/v1/2021.eacl-srw.24