scholarly journals More refined typology and design in linguistic relativity

2019 ◽  
Vol 8 (2) ◽  
pp. 163-171
Author(s):  
Pablo Bernabeu ◽  
Richard Tillman

Abstract Linguistic relativity is the influence of language on other realms of cognition. For instance, the way movement is expressed in a person’s native language may influence how they perceive movement. Motion event encoding (MEE) is usually framed as a typological dichotomy. Path-in-verb languages tend to encode path information within the verb (e.g., ‘leave’), whereas manner-in-verb languages encode manner (e.g., ‘jump’). The results of MEE-based linguistic relativity experiments range from no effect to effects on verbal and nonverbal cognition. Seeking a more definitive conclusion, we propose linguistic and experimental enhancements. First, we examine state-of-the-art typology, suggesting how a recent MEE classification across twenty languages (Verkerk, 2014) may enable more powerful analyses. Second, we review procedural challenges such as the influence of verbal thought and second-guessing in experiments. To tackle these challenges, we propose distinguishing verbal and nonverbal subgroups, and having enough filler items. Finally we exemplify this in an experimental design.

2018 ◽  
Vol 7 (1) ◽  
pp. 80-87
Author(s):  
Laura Carmen Cuțitaru

Abstract The 2016 much acclaimed American sci-fi movie Arrival is based on (what is in reality an extension of) the so-called “Sapir-Whorf” hypothesis, a linguistic theory set forth in the first half of the 20th century, according to which one’s native language dictates the way in which one perceives reality. By taking into account the latest in human knowledge, this paper tries to provide arguments as to why such a claim works wonderfully in fiction, but not in science.


2020 ◽  
pp. 1-31
Author(s):  
Ilia Markov ◽  
Vivi Nastase ◽  
Carlo Strapparava

Abstract Native language identification (NLI)—the task of automatically identifying the native language (L1) of persons based on their writings in the second language (L2)—is based on the hypothesis that characteristics of L1 will surface and interfere in the production of texts in L2 to the extent that L1 is identifiable. We present an in-depth investigation of features that model a variety of linguistic phenomena potentially involved in native language interference in the context of the NLI task: the languages’ structuring of information through punctuation usage, emotion expression in language, and similarities of form with the L1 vocabulary through the use of anglicized words, cognates, and other misspellings. The results of experiments with different combinations of features in a variety of settings allow us to quantify the native language interference value of these linguistic phenomena and show how robust they are in cross-corpus experiments and with respect to proficiency in L2. These experiments provide a deeper insight into the NLI task, showing how native language interference explains the gap between baseline, corpus-independent features, and the state of the art that relies on features/representations that cover (indiscriminately) a variety of linguistic phenomena.


Robotica ◽  
2022 ◽  
pp. 1-17
Author(s):  
Jie Liu ◽  
Chaoqun Wang ◽  
Wenzheng Chi ◽  
Guodong Chen ◽  
Lining Sun

Abstract At present, the frontier-based exploration has been one of the mainstream methods in autonomous robot exploration. Among the frontier-based algorithms, the method of searching frontiers based on rapidly exploring random trees consumes less computing resources with higher efficiency and performs well in full-perceptual scenarios. However, in the partially perceptual cases, namely when the environmental structure is beyond the perception range of robot sensors, the robot often lingers in a restricted area, and the exploration efficiency is reduced. In this article, we propose a decision-making method for robot exploration by integrating the estimated path information gain and the frontier information. The proposed method includes the topological structure information of the environment on the path to the candidate frontier in the frontier selection process, guiding the robot to select a frontier with rich environmental information to reduce perceptual uncertainty. Experiments are carried out in different environments with the state-of-the-art RRT-exploration method as a reference. Experimental results show that with the proposed strategy, the efficiency of robot exploration has been improved obviously.


2019 ◽  
Vol 27 ◽  
pp. 29-41
Author(s):  
Piotr Zbróg

The beginnings of the shaping of social representations of borrowings in the public sphereThe article presents an initial phase of the process of shaping of social representations of borrowings. The aim was to obtain a view of the way in which participants of the public sphere talked about these elements of language, how they perceived them as well as what common sense image was created on this basis in the communication sphere and how it was modified. The first judgements and opinions on the matter of foreign words appeared around the 16th century and evolved from that moment. The theory of social representations developed by Serge Moscovici was applied as a theoretical and methodological basis of the description. Its research tools allow us to see the way in which societies construct meanings of matters important to them. On the basis of the analysis of the material it was established that from the beginning there were rather antagonistic elements of social representations of borrowings. The functionality of borrowings was noticed. Yet it was postulated that they should be eliminated from texts on account of the necessity to develop the native language, the incomprehensibility of statements as well as the excessive trend of foreignness.


Author(s):  
Roberto Cipolla ◽  
Kwan-Yee K. Wong

This chapter discusses profiles or outlines which are dominant features of images. Profiles can be extracted easily and reliably from the images and can provide information on the shape and motion of an object. Classical techniques for motion estimation and model reconstruction are highly dependent on point and line correspondences, hence they cannot be applied directly to profiles which are viewpoint dependent. The limitations of classical techniques paved the way for the creation of different sets of algorithms specific to profiles. In this chapter, the focus is on state-of-the-art algorithms for model reconstruction and model estimation from profiles. These new sets of algorithms are capable of reconstructing any kind of objects including smooth and textureless surfaces. They also render convincing 3D models, reinforcing the practicality of the algorithm.


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