Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sergiu Nisioi"'
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1431 (2022)
In this paper, we aim to explore the degree to which translated texts preserve linguistic features of dialectal varieties. We release a dataset of augmented annotations to the Proceedings of the European Parliament that cover dialectal speaker inform
Externí odkaz:
https://doaj.org/article/37a5dbb4e2de480f93ff2bc75909f6e6
Publikováno v:
DSAI
Conceptual complexity of a written text plays an important role in maintaining reader's interest in reading it. Therefore, automatic text simplification systems should, apart from considering lexical and syntactic complexity of a text, also consider
Publikováno v:
NUT@EMNLP
In this paper, we provide a lexical comparative analysis of the vocabulary used by customers and agents in an Enterprise Resource Planning (ERP) environment and a potential solution to clean the data and extract relevant content for NLP. As a result,
Publikováno v:
ACL (2)
We present the first attempt at using sequence to sequence neural networks to model text simplification (TS). Unlike the previously proposed automated TS systems, our neural text simplification (NTS) systems are able to simultaneously perform lexical
Publikováno v:
ACL (1)
We present a computational analysis of three language varieties: native, advanced non-native, and translation. Our goal is to investigate the similarities and differences between non-native language productions and translations, contrasting both with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17297dc41442ff0b41180ca2d716559d
Autor:
Sergiu Nisioi
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319195803
NLDB
NLDB
In our paper we investigate the possibility to use an unsupervised classifier to automatically distinguish between the translated and original novels of a multilingual writer (Vladimir Nabokov) and to determine whether the authorship of a translated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aa90024ebe7f58d93efe7073beedaa9
https://doi.org/10.1007/978-3-319-19581-0_29
https://doi.org/10.1007/978-3-319-19581-0_29
Autor:
Sergiu Nisioi
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181103
CICLing (1)
CICLing (1)
In this study we investigate the role of different features for the task of native language identification. For this purpose, we compile a learner corpus based on a subset of the EF Cambridge Open Language Database - EFCAMDAT [10] developed at the Un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77e7e6a673d9d2ef3ea33fe82781a2b4
https://doi.org/10.1007/978-3-319-18111-0_49
https://doi.org/10.1007/978-3-319-18111-0_49
Autor:
Štajner, S., Sergiu Nisioi
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c2a697683103cc4cd19ecabea86c399
http://www.scopus.com/inward/record.url?eid=2-s2.0-85059904417&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85059904417&partnerID=MN8TOARS