191 to 200 of 1,059 Results
Appointment: Associate Professor Research topics: • Sociophonetics • Acoustic phonetics (prosody in particular) • Language Planning & Policy • Contact phonology (especially tone) |
Mar 25, 2022 - Michelle Sim Jia En
Sim, Michelle Jia En, 2021, "Replication Data for: A Sketch Grammar of Singapore Fuzhou", https://doi.org/10.21979/N9/APVQMI, DR-NTU (Data), V2
This dataset contains recordings of participants (names initialised), used for the MA thesis "A Sketch Grammar of Singapore Fuzhou". The Minhou variety of Singapore Fuzhou was recorded. |
Mar 25, 2022 -
Replication Data for: A Sketch Grammar of Singapore Fuzhou
MS Word - 69.6 KB -
MD5: c410a9f5fd9326b907b34c6e3a159450
Informed consent for participants |
Jan 26, 2022 - Graham John Matthews
Matthews, Graham John; Bond, Francis, 2022, "Literary Epigraphs with Complete Metadata", https://doi.org/10.21979/N9/CYMPPP, DR-NTU (Data), V1
This catalogue records 16,963 literary epigraphs with complete metadata. For the epigraph, the data includes: the epigraph; title of original text; author of original text; country of origin; year of origin; language of original; medium (novel, drama, song, etc). For the work, th... |
Jan 26, 2022 -
Literary Epigraphs with Complete Metadata
MS Excel Spreadsheet - 4.5 MB -
MD5: c3c39e3992f79cc43a9bc382e18ee2fd
Epigraph collection with full metadata |
Jan 25, 2022
Data from Bond lab |
Appointment: Senior Lecturer (Former) Research topics: • English-medium instruction (EMI) • Higher education • Korea • Intercultural communication |
Dec 15, 2021 - Daoist
Xu Duoduo; Stanley-Baker, Michael, 2021, "葛仙翁肘後備急方 Fulltext Database", https://doi.org/10.21979/N9/JUL0EO, DR-NTU (Data), V3, UNF:6:DiaPq8PuBmxD+z7wWAf0SA== [fileUNF]
DocuXML Database of 葛仙翁肘後備急方, compiled from the Kanripo 正統道藏 edition, here: http://www.kanripo.org/text/KR5g0115/ The Kanripo files were first marked up in MARKUS for drug terms, disease names and related vocabulary by Chang Chao-jan and Wu Ruei-Ming, and uploaded in 2018. These... |
Dec 15, 2021 -
葛仙翁肘後備急方 Fulltext Database
Tabular Data - 2.2 MB - 10 Variables, 10951 Observations - UNF:6:YjQ1tb2XPtKA/cQF1jOY1A==
Includes all tags and their values, calculated according to how many terms occur in a given paragraph.
TermsCount=how many different terms in a passage
TotalOccur=how many times these occur in a passage. (If one term is repeated, then the TotalOccur will be greater than the Ter... |
Dec 15, 2021 -
葛仙翁肘後備急方 Fulltext Database
Tabular Data - 330.0 KB - 4 Variables, 7201 Observations - UNF:6:/s0KpglP7gQBwFNxDK5rIQ==
Includes all tags and their values, calculated according to overall frequency in the complete database. TF=Term frequency (how many total instances of the term)
DF=Document frequency (how many different passages in which the term appears). |
