In this commentary, I suggest that it may be helpful to think about the formidable problem space that Westergaard's (2021) Linguistic Proximity Model seeks to address at the three levels of analysis that Marr (1982) famously proposed are needed to understand any complex cognitive system. I argue that at the computational level of analysis, where…

This study discusses how textbook educational approaches concerning Le Châtelier's principle (LCP) may hinder student comprehension and prediction of chemical equilibrium disturbances. Firstly, after summarising students' LCP erroneous assertions/explanations, a categorisation of the potential barriers that may originate student misunderstandings…

While monolingual speakers can use contrastive pitch accents to predict upcoming referents, bilingual speakers do not always use this cue predictively in their L2. The current study examines the role of recent exposure for predictive processing in native German (L1) second language learners of English (L2). In Experiment 1, participants followed…

Negative sentences are hard to process when they are presented out of context. When embedded in a context of plausible denial their processing difficulty decreases or is completely eliminated. We investigated in six behavioral experiments whether the processing of negation is eased in a denial context triggered by discourse markers (e.g.…

Language production ultimately aims to convey meaning. Yet words differ widely in the richness and density of their semantic representations, and these differences impact conceptual and lexical processes during speech planning. Here, we replicated the recent finding that semantic richness, measured as the number of associated semantic features…

Experimental studies show that children have greater difficulty with "wh"-extraction from object position than subject position, arguably an intervention effect (e.g., Relativized Minimality). In this study we provide additional evidence of a S/O asymmetry in A'-dependencies from a novel source--sluicing. The results of our first…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…

Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…

Dialogue systems, commonly called as Chatbots, have gained escalating popularity in recent times due to their wide-spread applications in carrying out chit-chat conversations with users and accomplishing tasks as personal assistants. These systems are typically trained from manually-labeled data and/or written with handcrafted rules and often, use…

In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…

The aim of this study is to make a semiotic analysis of William Shakespeare's play titled Othello in the light of Jean-Claude Coquet's "Theory of Instances of Enunciation" and compare Turkish translations of the contexts analyzed in the original play from semiotics of translation point of view with a view to determining the meaning…

The aim of this study is to underline the contingent problems of learners of Turkish, which is an agglutinative language and to shed light on power of mental lexicon. In this descriptive study, vocabulary challenge is investigated as it is one of the main problems for learners studying Turkish as a foreign language (TFL). This study provides…

Purpose: Studies on reading in individuals with severe-to-profound hearing loss (deaf) raise the possibility that, due to deficient phonological coding, deaf individuals may rely more on orthographic-semantic links than on orthographic-phonological links. However, the relative contribution of phonological and semantic information to visual word…

In this response to commentators, I agree with those who suggested that the distinction between exemplar- and abstraction-based accounts is something of a false dichotomy and therefore move to an abstractions-made-of-exemplars account under which (a) we store all the exemplars that we hear (subject to attention, decay, interference, etc.) but (b)…

The authors argue that Ambridge's radical exemplar account of language cannot clearly explain all syntactic priming evidence, such as inverse preference effects ("greater" priming for less frequent structures), and the contrast between short-lived lexical boost and long-lived abstract priming. Moreover, without recourse to a level of…