Background/Objectives: Individuals with chronic agrammatic aphasia demonstrate real-time sentence processing difficulties at the lexical and structural levels. Research using time-sensitive measures, such as priming and eye-tracking, have associated...
Gender stereotypes are often involved in language comprehension. This study investigated whether and to what extent their processing is under strategic control, by examining both proportion and order effects related to gender stereotypes for role nou...
Using a visual world eye-tracking paradigm, we investigated the real-time auditory sentence processing of neurologically unimpaired listeners and individuals with aphasia. We examined whether lexical-semantic cues provided as adjectives of a target n...
In this study, we explored the linguistic consolidation processes associated with bilingual processing using an experimental paradigm novel in bilingualism research, i.e., sentence repetition. We tested 46 L1-German L2-English bilinguals immersed in...
Previous research has shown that comprehension of complex sentences involving wh-movement (e.g., object-relative clauses) elicits activation in the left inferior frontal gyrus (IFG) and left posterior temporal cortex. However, relatively little is kn...
Sentence comprehension requires inferring, from a sequence of words, the structure of syntactic relationships that bind these words into a semantic representation. Our limited ability to build some specific syntactic structures, such as nested center...
Are non-native speakers able to process their second language in a native-like way? The present study used the Event-Related Potentials’ (ERPs) method to address this issue by focusing (1) on agent vs. agentless intransitive sentences and (2) o...
Despite recent research on the building blocks of language processing, the nature of the units involved in the production of written texts remains elusive: intonation units, which are evidenced by empirical results across a growing body of work, are...
This study investigates the processing of Italian verb constructions containing preverbal dative clitics that function either as arguments or as adjuncts, adopting a developmental perspective across Italian-speaking children, adolescents, and adults....
Children’s ability to retrieve word meanings and incorporate them into sentences, along with the neural structures that support these skills, continues to evolve throughout adolescence. Theta (4–8 Hz) activity that corresponds to word ret...
It is broadly accepted that the prosody of a sentence can influence sentence processing by providing the listener information about the syntax of the sentence. It is less clear what the mechanism is that underlies the transmission of this information...
The article investigates non-native sentence processing and examines the existing scholarly approaches to L2 processing with a population of L3 learners of English, whose native language is Russian. In a self-paced reading experiment, native speakers...
This article addresses the issue of access to the written word for deaf people whose main language is sign language. We question the status of sentence processing in the acquisition of a written language by deaf people, visual beings par excellence....
This study compared automatic and controlled cognitive processes that underlie event-related potentials (ERPs) effects during speech perception. Sentences were presented to French native speakers, and the final word could be congruent or incongruent,...
Mars has been a primary focus of planetary science, with significant advancements over the past two decades across disciplines including geological evolution, surface environment, and atmospheric and space science. However, the rapid growth of the re...
Regarding the embodiment of language processing in adults, there is evidence of a close connection between sensorimotor brain areas and brain areas relevant to the processing of action verbs. This thesis is hotly debated and has therefore been thorou...
Sentences are generally understood to be essential communicative units in writing that are built to express thoughts and meanings. Studying sentence production provides a valuable opportunity to shed new light on the writing process itself and on the...
The efficiency of natural language processing (NLP) tasks, such as text classification and information retrieval, can be significantly improved with proper sentence representations. Neural networks such as convolutional neural network (CNN) and recur...
This study examined the comprehension of passive sentences in order to investigate whether individuals with dyslexia rely on parsing heuristics in language comprehension to a greater extent than non-dyslexic readers. One hundred adults (50 dyslexics...
In this study, we examined eye movements and comprehension in sentences containing a relative clause. To date, few studies have focused on syntactic processing in dyslexia and so one goal of the study is to contribute to this gap in the experimental...
The problem of measuring sentence similarity is an essential issue in the natural language processing area. It is necessary to measure the similarity between sentences accurately. Sentence similarity measuring is the task of finding semantic symmetry...
The perfume industry is a suitable candidate for applying advanced natural language processing techniques, yet most existing studies focus on developing fragrance design systems based on artificial intelligence advances. To meet the increasing demand...
Semantic Textual Similarity (STS) is an important task in the area of Natural Language Processing (NLP) that measures the similarity of the underlying semantics of two texts. Although pre-trained contextual embedding models such as Bidirectional Enco...
Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These sentence-level embeddings are also important in retrieval-augmented gene...
Using the Action–Sentence Compatibility Effect (ACE) paradigm, this study investigated whether types of grammatical aspects and L2 proficiency influence embodied simulation during L2 sentence comprehension of English among Chinese learners. Par...
The processing difficulty of subject relative clauses (SRCs) and object relative clauses (ORCs) in Mandarin Chinese has been a controversial issue in psycholinguistics. Memory-based accounts and experience-based accounts make contrastive predictions...
This eye-tracking study examined how heritage speakers of Spanish process gender agreement morphology at a distance, focusing on the activation of the gender feature during sentence processing. Previous work is conceptually replicated and further ext...
The integration of artificial intelligence into criminal sentencing decisions represents one of the most consequential applications of algorithmic systems in contemporary governance. While AI-assisted risk assessment tools promise enhanced consistenc...
Individuals with dyslexia show deficits in phonological abilities, rapid automatized naming, short-term/working memory, processing speed, and some aspects of sensory and visual processing. There is currently one report in the literature that individu...
This paper presents a novel approach for finding the most semantically similar conversational sentences in Korean and English. Our method involves training separate embedding models for each language and using a hybrid algorithm that selects the appr...
Garden-path sentences generate processing difficulty due to a more preferred parse conflicting with incoming parsing information. A domain-general cognitive control mechanism has been argued to help identify and resolve these parsing conflicts. This...
The think-aloud protocol is a valuable tool for investigating readers’ cognitive processes during reading. However, its reliance on experienced human evaluators poses challenges in terms of efficiency and scalability. To address this limitation...
High-quality, annotated datasets are crucial for enhancing the application of natural language processing tasks. Nevertheless, in the educational domain, they are limited compared to the vast amount of learning content. In the context of smart learni...
Switching between languages, or codeswitching, is a cognitive ability that multilinguals can perform with ease. This study investigates whether codeswitching during sentence reading affects early access to meaning, as indexed by the robust brain resp...
The task of automatically evaluating acceptability judgments has relished increasing success in Natural Language Processing, starting from including the Corpus of Linguistic Acceptability (CoLa) in the GLUE benchmark dataset. CoLa spawned a thread th...
The processing and resolution of syntactically ambiguous structures is accounted for by serial autonomous and multiple constraint satisfaction models differently. We investigated the extent to which frequency affects native speakers’ processing...
In this study, we developed a similar text retrieval system using Sentence-BERT (SBERT) for our database of closed medical malpractice claims and investigated its retrieval accuracy. We assigned each case in the database a short Japanese summary of t...
Intelligent agents have the potential to understand personality traits of human beings because of their every day interaction with us. The assessment of our psychological traits is a useful tool when we require them to simulate empathy. Since the cre...
Syntactic adaptation effects have been demonstrated for an expanding list of structure types, but the mechanism underlying this effect is still being explored. In the current work on filler-gap dependency processing, we examined whether exposing part...
Artificial intelligence has attracted increasing attention in the construction industry; however, automated time scheduling remains limited in practical applications. Schedule development remains manual, requiring planners to analyze project document...
Active learning has been a research area conducted across various domains for a long time, from traditional machine learning to the latest deep learning research. Particularly, obtaining high-quality labeled datasets for supervised learning requires...
The well-being of older adults is influenced by their physical and mental health, their opportunities to complete activities of daily living effectively and autonomously, as well as their social connectedness, meaningfulness and positive outlook to t...
This study investigated how Japanese speakers interpret structurally ambiguous wh-questions, testing whether filler–gap resolution is guided by syntactic resolution based on hierarchical structure or linear locality based on surface word order....
Urban infrastructure systems increasingly depend on textual reports generated by citizens, inspection teams, maintenance units, emergency platforms, and smart city services. Accurate identification of critical risks in these reports is essential for...
According to the shallow structure hypothesis (SSH), adult L2 learners rely more on lexical-semantic and pragmatic information but less so on syntactic information in online language processing, ending up with shallower syntactic representation. To t...
For effective vulnerability management, vulnerability and attack information must be collected quickly and efficiently. A security knowledge repository can collect such information. The Common Vulnerabilities and Exposures (CVE) provides known vulner...
Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately. Common Vulnerabilities and Exposures is a dictionary that lists vulnerabiliti...
The acquisition of clitics still remains a highly controversial issue in Greek acquisition literature despite the bulk of studies performed. Object clitics have been shown to be early acquired by monolingual children in terms of production rates, whe...
27 October 2023
Prematurity is one of the most crucial risk factors negatively affecting the maturation of the auditory system. Children born preterm demonstrate high rates of hearing impairments. Auditory processing difficulties in preterm children might be a resul...
Chatbots are becoming increasingly popular and require the ability to interpret natural language to provide clear communication with humans. To achieve this, intent detection is crucial. However, current applications typically need a significant amou...
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