Nigerian English: History, functions and features
Abstract This article offers a comprehensive overview of Nigerian English, a rapidly expanding variety of world Englishes, recognised as one of the fastest‐growing varieties of English globally in numerical terms. This article has four aims. First, it discusses the historical developments of English in Nigeria with reference to the events that led to ...
Kingsley O. Ugwuanyi+1 more
wiley +1 more source
Lexico-semantic peculiarities of place names of Nova Scotia (Canada)
The article is devoted to the lexico-semantic peculiarities of place names of Nova Scotia (Canada). As a result of the lexico-semantic analysis several groups of place names were indicated according to two features: origin and motivation.
A U Ilyina
doaj
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space [PDF]
Capturing the semantic relations of words in a vector space contributes to many natural language processing tasks. One promising approach exploits lexico-syntactic patterns as features of word pairs. In this paper, we propose a novel model of this pattern-based approach, neural latent relational analysis (NLRA).
arxiv
Cultural conceptualisations and the cultural model of fertility and infertility in Nigerian English
Abstract The article scrutinises the concepts of fertility and infertility as reflected in Nigerian English. For this, a mixed‐methods approach is suggested that uses the Corpus of Global Web‐based English as a resource to shed light on lexical frequency and collocations, as well as a newspaper corpus of online articles from The Guardian and Vanguard ...
Anna Finzel
wiley +1 more source
COMBINATORIAL SET OF LEXICO-GRAMMATICAL CLASSES OF NOUNS IN THE RUSSIAN LANGUAGE
The article focuses on the changes of nouns, the lexico-grammatical features of which make it impossible to refer them to a specific lexico-grammatical class.
Mariya L. Lapteva, Natalya V. Lukina
doaj +1 more source
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings [PDF]
Deep learning currently dominates the benchmarks for various NLP tasks and, at the basis of such systems, words are frequently represented as embeddings --vectors in a low dimensional space-- learned from large text corpora and various algorithms have been proposed to learn both word and concept embeddings.
arxiv
When the ‘inclusive turn’ fuels the entrepreneurial city: Critical perspectives from Singapore
The rise of the notion of ‘inclusion’ in urban planning, seen in phrases like inclusive city, calls for a critical analysis of its evolving meaning and its spatial, social and political implications. Paradoxically, the meaning of urban inclusion has narrowed such that it now primarily refers to accessibility for people with disabilities.
Marie Gibert‐Flutre, Sarah Cosatto
wiley +1 more source
The article deals with some methods of work aimed at mastering the lexical norms of the language of regional communication (Russian) by schoolchildren of educational establishments of the Ukrainian Danube region.
Svitlana Glushchuk
doaj
Automatic Extraction of Tagset Mappings from Parallel-Annotated Corpora [PDF]
This paper describes some of the recent work of project AMALGAM (automatic mapping among lexico-grammatical annotation models). We are investigating ways to map between the leading corpus annotation schemes in order to improve their resuability. Collation of all the included corpora into a single large annotated corpus will provide a more detailed ...
arxiv
SUPERPOSITION OF GRAMMATICAL AND STATISTICAL LEARNING IN A SECOND LANGUAGE: AN EYE‐TRACKING STUDY
Abstract In this paper, data from an eye‐tracking study on auxiliary selection in L2 Italian are reported. The data suggest that learners of Italian over time and with increasing experience can process the same compound past verbs in two apparently commutable ways within the same experimental session.
Stefano Rastelli
wiley +1 more source