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pro vyhledávání: '"Koel Dutta"'
Translated texts exhibit systematic linguistic differences compared to original texts in the same language, and these differences are referred to as translationese. Translationese has effects on various cross-lingual natural language processing tasks
Externí odkaz:
http://arxiv.org/abs/2310.18830
Cross-lingual natural language processing relies on translation, either by humans or machines, at different levels, from translating training data to translating test sets. However, compared to original texts in the same language, translations posses
Externí odkaz:
http://arxiv.org/abs/2205.08001
We describe the EdinSaar submission to the shared task of Multilingual Low-Resource Translation for North Germanic Languages at the Sixth Conference on Machine Translation (WMT2021). We submit multilingual translation models for translations to/from
Externí odkaz:
http://arxiv.org/abs/2109.14368
Autor:
Pylypenko, Daria, Amponsah-Kaakyire, Kwabena, Chowdhury, Koel Dutta, van Genabith, Josef, España-Bonet, Cristina
Traditional hand-crafted linguistically-informed features have often been used for distinguishing between translated and original non-translated texts. By contrast, to date, neural architectures without manual feature engineering have been less explo
Externí odkaz:
http://arxiv.org/abs/2109.07604
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experiments, we (the RGNLP team) explore both statistical and neural methods ac
Externí odkaz:
http://arxiv.org/abs/1812.00798
Autor:
Koel Dutta, Saravanan Jeba Rani, Ramamoorthy Jayashri, Ritesh Gupta, Ganesan Umasankari, Amerta Ghosh, Muthu Ramu, Kanika Tyagi, Coimbatore Subramanian Shanthi Rani, Mohammad Shafi Kuchay, Atul Luthra, Prasanna Kumar Gupta, Viswanathan Mohan, Anoop Misra, V P Gupta, Alka Jha, Brijendra Kumar Srivastava, Suhail Durrani, Nadiminty Ganapathi Sastry, Ranjit Mohan Anjana, Ranjit Unnikrishnan
Publikováno v:
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Diabetes & Metabolic Syndrome
Diabetes & Metabolic Syndrome
Background and aims It is not known if new onset diabetes during Coronavirus-19 disease (COVID-19; NOD COVID) is phenotypically or biochemically different than new onset diabetes before COVID-19 (NOD). Methods All adults diagnosed with new onset diab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d9944b16a6f5e38ae3576e07e9b7228
https://doi.org/10.1016/j.dsx.2020.12.033
https://doi.org/10.1016/j.dsx.2020.12.033
Publikováno v:
Diabetes & Metabolic Syndrome
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Lockdown due to the Coronavirus disease 2019 (COVID 19) pandemic may cause weight gain and enhance the risk of type 2 diabetes mellitus (T2DM). We aimed to determine this risk in apparently non-diabetic individuals. Material methods Baseline demograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f79f6987e67b5bac247a0a4d2730f77
http://europepmc.org/articles/PMC7303633
http://europepmc.org/articles/PMC7303633
Autor:
Amerta Ghosh, Koel Dutta, Surya Prakash Bhatt, Ritesh Gupta, Kanika Tyagi, Irshad Ahmad Ansari, Vasantha Kumar Venugopal, Harsh Mahajan, Ravindra Mohan Pandey, Shivam Pandey, Anoop Misra
Publikováno v:
The Journal of clinical endocrinology and metabolism. 107(6)
Context Excess hepatic and pancreatic fat may contribute to hyperglycemia. Objective The objective of this study was to examine the effect of dapagliflozin (an SGLT2 inhibitor) on anthropometric profile, liver, and pancreatic fat in patients with typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355be05613f56a5aeed2c0cd1c8ffc67
https://pubmed.ncbi.nlm.nih.gov/35263436
https://pubmed.ncbi.nlm.nih.gov/35263436
Publikováno v:
Diabetes & Metabolic Syndrome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23fc84429d3ba3918dbbfc089c3da4ae
http://europepmc.org/articles/PMC8143905
http://europepmc.org/articles/PMC8143905
Publikováno v:
RANLP
Previous research has used linguistic features to show that translations exhibit traces of source language interference and that phylogenetic trees between languages can be reconstructed from the results of translations into the same language. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07faa569fa8e88156dcbd86d913426ae
https://doi.org/10.26615/978-954-452-072-4_043
https://doi.org/10.26615/978-954-452-072-4_043