Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Despoina Mouratidis"'
Autor:
Leonidas Agathos, Andreas Avgoustis, Xristiana Kryelesi, Aikaterini Makridou, Ilias Tzanis, Despoina Mouratidis, Katia Lida Kermanidis, Andreas Kanavos
Publikováno v:
Information, Vol 15, Iss 8, p 500 (2024)
Text simplification is crucial in bridging the comprehension gap in today’s information-rich environment. Despite advancements in English text simplification, languages with intricate grammatical structures, such as Greek, often remain under-explor
Externí odkaz:
https://doaj.org/article/f44ac086c62546a3ab72ee34f6751ef6
Publikováno v:
Computation, Vol 9, Iss 2, p 20 (2021)
In the past decade, the rapid spread of large volumes of online information among an increasing number of social network users is observed. It is a phenomenon that has often been exploited by malicious users and entities, which forge, distribute, and
Externí odkaz:
https://doaj.org/article/44e0c6a53f4e4dcd85611847ada1a1f8
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 639 (2021)
Evaluation of machine translation (MT) into morphologically rich languages has not been well studied despite its importance. This paper proposes a classifier, that is, a deep learning (DL) schema for MT evaluation, based on different categories of in
Externí odkaz:
https://doaj.org/article/a3f8e5a3d2c2426981974a67c08bd524
Publikováno v:
Algorithms, Vol 12, Iss 1, p 26 (2019)
Machine translation is used in many applications in everyday life. Due to the increase of translated documents that need to be organized as useful or not (for building a translation model), the automated categorization of texts (classification), is a
Externí odkaz:
https://doaj.org/article/3a1bbe99a9694627b70b98dffb7ce240
Autor:
Despoina Mouratidis, Eirini Mathe, Yorghos Voutos, Klio Stamou, Katia Lida Kermanidis, Phivos Mylonas, Andreas Kanavos
Publikováno v:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c743829cb5e215f0c2b53fd1dcafa469
https://doi.org/10.1145/3549737.3549751
https://doi.org/10.1145/3549737.3549751
Publikováno v:
Education and Information Technologies. 26:257-278
Research analysis usually focuses on terms of negotiation –argument, conflict, agreement, disagreement- as indications of collaborative learning. The reported research suggests that the latter can also exist in terms of prompting and inspiring and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc481269974591d71e0abcd08cca5b9
https://doi.org/10.1007/s10639-020-10270-9
https://doi.org/10.1007/s10639-020-10270-9
Publikováno v:
IISA
In this paper, a light resource learning schema, i.e. a schema that depends on limited resources, is introduced, which aims to choose the better translation between two machine translation (MT) outputs, based on information regarding the source segme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d690a966fbd98441bb171430b087353
https://doi.org/10.1109/iisa52424.2021.9555556
https://doi.org/10.1109/iisa52424.2021.9555556
Publikováno v:
PETRA
Digital communities and social media are widely used and produce a huge amount of information every second. Text analysis has been widely used by researchers and machine learning (ML) engineers for automating the author profiling task. Author profili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df576fe114c056d991b6e613744cc1cc
https://doi.org/10.1145/3389189.3397992
https://doi.org/10.1145/3389189.3397992
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491857
AIAI (2)
AIAI (2)
A language independent deep learning (DL) architecture for machine translation (MT) evaluation is presented. This DL architecture aims at the best choice between two MT (S1, S2) outputs, based on the reference translation (Sr) and the annotation scor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10f5b9f69e62082bc913f4a133cd7b89
https://doi.org/10.1007/978-3-030-49186-4_7
https://doi.org/10.1007/978-3-030-49186-4_7
Publikováno v:
Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019.
The automatic evaluation of machine translation (MT) has proven to be a very significant research topic. Most automatic evaluation methods focus on the evaluation of the output of MT as they compute similarity scores that represent translation qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ba1b02b5fe3322ad4977ae2d42c35c7
https://doi.org/10.26615/issn.2683-0078.2019_008
https://doi.org/10.26615/issn.2683-0078.2019_008