Using lexical language models to detect borrowings in monolingual wordlists.
PLoS ONE, 2020 Lexical borrowing, the transfer of words from one language to another, is one of the most frequent processes in language evolution. In order to detect borrowings, linguists make use of various strategies, combining evidence from various sources.
John E Miller +5 more
doaj +6 more sources
Smart library personalized resource proactive recommendation system integrating user profiling and knowledge graphs [PDF]
Scientific ReportsThe resource recommendation service of smart libraries is facing a dual dilemma of imprecise perception of user needs and passivity in recommendation patterns.
Fei Xu
doaj +2 more sources
Semantic Similarity‐Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events [PDF]
Stat MedWe present a Bayesian dynamic borrowing (BDB) approach to enhance the quantitative identification of adverse events (AEs) in spontaneous reporting systems (SRSs). The method embeds a robust meta-analytic predictive (MAP) prior with a Bayesian hierarchical model and incorporates semantic similarity measures (SSMs) to enable weighted information sharing ...
Haguinet F +4 more
europepmc +3 more sources
Nipah virus destroyed my personal, family, and social life: stories of the hardship faced by Nipah survivors in Bangladesh [PDF]
International Journal for Equity in HealthBackground Nipah virus (NiV) causes recurrent outbreaks in Bangladesh with high mortality and persistent health consequences among survivors. As outbreak detection and clinical management improve, the number of survivors is likely to increase, creating ...
Utpal K. Mondal +15 more
doaj +2 more sources
Automated identification of borrowings in multilingual wordlists
Open Research Europe, 2021 Although lexical borrowing is an important aspect of language evolution, there have been few attempts to automate the identification of borrowings in lexical datasets.
Johann-Mattis List, Robert Forkel
doaj +3 more sources
M-ISDS: A Mobilized Intrusion and Spam Detection System [PDF]
SHS Web of Conferences, 2022 As the world strides into the digital world, cybersecurity has become an indispensable part of connected devices. Although we have developed cybersecurity measures that can effectively defend against malicious software, we don’t have an accurate solution
Li Yuyang
doaj +1 more source
Automated identification of borrowings in multilingual wordlists
Open Research Europe, 2022 Although lexical borrowing is an important aspect of language evolution, there have been few attempts to automate the identification of borrowings in lexical datasets.
Johann-Mattis List, Robert Forkel
doaj +1 more source
Recent Progresses in Electrochemical DNA Biosensors for SARS-CoV-2 Detection
Frontiers in Bioengineering and Biotechnology, 2022 Coronavirus disease 19 (COVID-19) is still a major public health concern in many nations today. COVID-19 transmission is now controlled mostly through early discovery, isolation, and therapy. Because of the severe acute respiratory syndrome coronavirus 2
Yanqiu Mei +14 more
doaj +1 more source
EBSE-YOLO: High Precision Recognition Algorithm for Small Target Foreign Object Detection
IEEE Access, 2023 For the complex background along the electrified railroad, there are problems such as missed detection and false detection of invasive small target foreign objects.
Shuohe Wang +4 more
doaj +1 more source
Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023 Language contact is a pervasive phenomenon reflected in the borrowing of words from donor to recipient languages. Most computational approaches to borrowing detection treat all languages under study as equally important, even though dominant languages have a stronger impact on heritage languages than vice versa.
Miller, John E., List, Johann-Mattis
openaire +5 more sources