Results 101 to 110 of about 2,340,508 (360)
The Acquisition of Directionals in Two Mayan Languages
Frontiers in Psychology, 2019 We use the comparative method of language acquisition research in this article to investigate children’s expression of directional clitics in two Eastern Mayan languages – K’iche’ and Mam (Pye and Pfeiler, 2014; Pye, 2017).
Clifton Pye, Barbara Pfeiler
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Gender Differences of Students’ Writing Ability in Descriptive Text
Journal of Languages and Language Teaching, 2020 Language has an important role for every member of the speech community. The connection between language and society is recognized as the main interest of sociolinguistics. Nowadays, sociolinguistic has involved many significant research topics.
Muhammad Saibani Wiyanto +1 more
doaj +1 more source
Comparison of Clinical Scores for Predicting Stroke‐Associated Pneumonia After Acute Ischemic Stroke
AGING MEDICINE, EarlyView.Our study compared the discrimination and calibration of the Kwon Pneumonia Score, A2DS2 score, PANTHERIS score, AIS‐APS score, ISAN score, and PASS score in SAP identification; of these, the AIS‐APS score showed the best performance. ABSTRACT Objectives To compare the discrimination and calibration of six risk scoring systems in the assessment of ...
Linlin Wang +8 more
wiley +1 more source
DISTINCTIVE FEATURES OF POLITICAL LINGUISTICS
, 2023 The article aimed at the formation and distinctive features of study of political linguistics is gaining a significant place all over the world. In the field of political linguistics, the study of political language requires a comprehensive knowledge of the history of this scientific direction, its current state, its interaction and influence with ...
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On bootstrapping of linguistic features for bootstrapping grammars [PDF]
Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference - CLAGI '09, 2009 We discuss a cue-based grammar induction approach based on a parallel theory of grammar. Our model is based on the hypotheses of interdependency between linguistic levels (of representation) and inductability of specific structural properties at a particular level, with consequences for the induction of structural properties at other linguistic levels.
openaire +3 more sources
Agribusiness, EarlyView.Abstract This study examines how European food companies can operationally leverage the value created by strategic alliances into commercially viable products. More importantly, it emphasizes that the effects of alliance portfolio diversity (APD) on radical innovation performance can be achieved not only directly, but also via moderating roles, that is,
María Ancín +2 more
wiley +1 more source
LINGUISTIC AND SOCIAL FEATURES OF SLANG
, 2021 The article examines the features of the use of youth slang in the modern English language. The purpose of the article is to analyze the use of slang expressions among the younger generation. The definition of slang is beginning to attract the attention of modern philology.
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Advanced Intelligent Systems, EarlyView.To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang +3 more
wiley +1 more source
Uncovering Probabilistic Implications in Typological Knowledge Bases [PDF]
arXiv, 2019 The study of linguistic typology is rooted in the implications we find between linguistic features, such as the fact that languages with object-verb word ordering tend to have post-positions. Uncovering such implications typically amounts to time-consuming manual processing by trained and experienced linguists, which potentially leaves key linguistic ...
arxiv
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) [PDF]
arXiv, 2020 One reason pretraining on self-supervised linguistic tasks is effective is that it teaches models features that are helpful for language understanding. However, we want pretrained models to learn not only to represent linguistic features, but also to use those features preferentially during fine-turning.
arxiv