Results 201 to 210 of about 234,251 (328)
Abstract In Welsh, in certain tenses, unique forms of the verb for ‘be’ are used in positive clauses. These specialised forms of ‘be’ are incompatible with positive main‐clause declarative complementizers, despite their apparent featural compatibility. For most speakers, they are also blocked from if‐clauses; although, I report on data regarding their ...
Frances Dowle
wiley +1 more source
Matrix-based pagerank control in hypergraphs for semantic text summaries. [PDF]
Aleja D +3 more
europepmc +1 more source
Legal Corpus Linguistics: Gambling to Gaming Language Powers and Probabilities
Kezziah Dale
openalex +1 more source
Semantics in corpus linguistics: the basic colour term red in Modern Greek
Dimitra Serakioti
openalex +2 more sources
Corpus linguistics - investigating language structure and use
Antonio Paulo Berber Sardinha
openalex +1 more source
Abstract Building on Uriel Weinreich's pioneering (1953) Languages in Contact and on Peter Matthews' insightful commentary on it (2006, this volume) this paper discusses the crucial role of bilingualism, and specifically different types of bilingualism, in understanding whether and how the initial changes at the level of Saussure's parole can ...
Luna Filipović, John A. Hawkins
wiley +1 more source
Lost in translation: Decoding the errors in consecutive interpreting by Chinese EFL learners. [PDF]
Zhuang Y, Chen L.
europepmc +1 more source
Application of Digital Humanities and Corpus Linguistics in Language Teaching
Jialin Ren, Le Zhang
openalex +1 more source
Contact and Language Change: Using the Present to Explain the Past1
Abstract Although we may know the outcome of language changes that could have resulted from language contact in the past, we are unlikely to know how and why these changes occurred unless we also know about the individual speakers who came into contact and the nature of their interactions—information that all too often is impossible to uncover.
Jenny Cheshire
wiley +1 more source
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
europepmc +1 more source

