Anastasiya LopukhinaRoyal Holloway, University of London | RHUL · Department of Psychology
Anastasiya Lopukhina
PhD
About
36
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Introduction
Publications
Publications (36)
In the present study, we used a scanpath approach to investigate reading processes and factors that can shape them in monolingual Russian-speaking adults, 8-year-old children, and bilingual Russian-speaking readers. We found that monolingual adults’ eye movement patterns exhibited a fluent scanpath reading process, representing effortless processin...
Studies on German and English have shown that children and adults can rely on phonological and orthographic information from the parafovea during reading, but this reliance differs between ages and languages. In the current study, we investigated the development of phonological and orthographic parafoveal processing during silent reading in Russian...
Noise, as part of real-life communication flow, degrades the quality of linguistic input and affects language processing. According to predictions of the noisy-channel and good-enough processing models, noise should make comprehenders rely more on word-level semantics instead of actual syntactic relations. However, empirical evidence supporting thi...
This work is a comprehensive cross-methodological experimental study of phonological processing disorders in dyslexic Russian-speaking children. We developed and standardized a Russian-language test battery to assess phonological processing skills (The Russian Test of Phonological Processing), wich we then used to assess the features of phonologica...
In this study, we investigated eye movements during silent reading in 222 typically developing Russian children from grades 1 through 6. First, we established eye-movement benchmarks and detected two periods (between grades 1-2 and grades 3-4) when reading development was the fastest. We compared the basic eye-movement measures in children to those...
Ample evidence suggests that monolingual adults can successfully generate lexical and morphosyntactic predictions in reading and that correct predictions facilitate sentence comprehension. In this eye-tracking corpus reading study, we investigate whether the same is true for reading in heritage language. Specifically, we ask whether heritage speake...
The study presents the first systematic comparison of the global reading processes via scanpath analysis in Russian-speaking children with and without reading difficulties. First, we compared basic eye-movement characteristics in reading sentences in two groups of children in grades 1 to 5 (N = 72 in high risk of developmental dyslexia group and N...
The purpose of the present research was to comprehensively assess the language abilities of Russian primary-school-aged children with Autism Spectrum Disorder (ASD), varying in non-verbal IQ, at all linguistic levels (phonology, lexicon, morphosyntax, and discourse) in production and comprehension. Yet, the influence of such non-language factors as...
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The objective of the present study is to investigate the relationship between the receptive language, and the index of non-verbal intelligence and the level of severity of autistic disorders in primary-school-aged children with Autism spectrum disorder. One of the main areas influenced by autistic disorders is communication. Therefore, the study of...
We studied mental representations of literal, metonymically different, and metaphorical senses in Russian adjectives. Previous studies suggested that in polysemous words, metonymic senses, being more sense-related, were stored together with literal senses, whereas more distant metaphorical senses had separate representations. We hypothesized that m...
People sometimes misinterpret the sentences that they read. One possible reason suggested in the literature is a race between slow bottom-up algorithmic processing and “fast and frugal” top-down heuristic processing that serves to support fast-paced communication but sometimes results in incorrect representations. Heuristic processing can be both s...
People sometimes misinterpret the sentences that they read. One possible reason suggested in the literature is a race between slow bottom-up algorithmic processing and “fast and frugal” top-down heuristic processing that serves to support fast-paced communication but sometimes results in incorrect representations. Heuristic processing can be both s...
Noise, as part of real-life communication flow, degrades the quality of linguistic input and affects language processing. According to predictions of the noisy-channel model, noisemakes comprehenders rely more on word-level semantics and good-enough processing instead of actual syntactic relations. However, empirical evidence of such qualitative ef...
Background: Abnormal language development in both expressive and receptive domains occurs in most children with Autism Spectrum Disorder (ASD), although the language deficit is not a core symptom of ASD. However, previous studies disagree on the difference in the degree of impairment between expressive and receptive language in ASD. Existing resear...
Phonological and orthographic processing are reported to be among the strongest predictors of reading development across different Indo-European languages. The relative impact of these factors can be modulated by cross-linguistic script and orthographic differences, as evidenced by many studies in European languages. The present study investigates...
In the present study, we used a scanpath approach to investigate reading processes and factors that can shape them in monolingual Russian‐speaking adults, 8‐year‐old children, and bilingual Russian‐speaking readers. We found that monolingual adults’ eye movement patterns exhibited a fluent scanpath reading process, representing effortless processin...
During reading or listening, people can generate predictions about the lexical and morphosyntactic properties of upcoming input based on available context. Psycholinguistic experiments that study predictability or control for it conventionally rely on a human-based approach and estimate predictability via the cloze task. Our study investigated an a...
In speech-language pathology practice, standardized language assessment tools are used to evaluate the level of language development and to specify the details of language impairment. For Russian language, a novel Russian Child Language Assessment Battery (RuCLAB) was developed. The RuCLAB provides the assessment of phonology, vocabulary, morphosyn...
The goal of the present study was to investigate the interaction between different senses of polysemous nouns (metonymies and metaphors) and different meanings of homonyms using the method of event-related potentials (ERPs) and a priming paradigm. Participants read two-word phrases containing ambiguous words and made a sensicality judgment. Phrases...
International Society for Autism Research Abstract Book
This study investigates how phonological neighborhood density (PND) affects word production and recognition in 4-to-6-year-old Russian children in comparison to adults. Previous experiments with English-speaking adults showed that a dense neighborhood facilitated word production but inhibited recognition whereas a sparse neighborhood inhibited prod...
While different researchers agree that the acquisition of Russian nominal cases proceeds somewhat sequentially, there is no consensus about the exact order of case acquisition in the literature on L1 acquisition (see Ceitlin, 2000; Gvozdev, 1981, 2007; Gagarina & Voeikova, 2009). Besides, accumulated longitudinal data are sparse and disparate, comi...
Sentence comprehension relies not only on algorithmic parsing of grammatical structure but also on superficial good-enough processing (Ferreira et al., 2002). That is, we tend to guess relations between words based on their meaning and our real-world knowledge, without building accurate syntactic representations. Previous studies have shown that un...
According to modern syntactic theories, sentence comprehension can rely not only on grammatically driven algorithmic parsing of grammatical structure but also on good-enough processing, according to which we establish relations between words based on their meanings and our world knowledge without building accurate syntactic relations. Therefore, a...
The article is a cross-disciplinary study of polysemy applying theoretical, experimental and statistical methods. Although polysemy has been a focus of attention in a variety of papers and books, the phenomenon requires a largely complex approach. The team of authors conducted a multifaceted study that incorporated lexicographic descriptions, stati...
The paper describes the results of the first shared task on word sense induction (WSI) for the Russian language. While similar shared tasks were conducted in the past for some Romance and Germanic languages, we explore the performance of sense induction and disambiguation methods for a Slavic language that shares many features with other Slavic lan...
Experimental studies on polysemy have come to contradictory conclusions on whether words with multiple senses are stored as separate or shared mental representations. The present study examined the semantic relatedness and semantic similarity of literal and non-literal (metonymic and metaphorical) senses of three word classes: nouns, verbs, and adj...
Phonological neighbourhood density (PND) refers to the number of words which can be formed from a given word by substituting, adding or deleting one phoneme. Thus, word with many similar sounding neighbours has a dense neighbourhood, whereas a word with few neighbours or without neighbors has a sparse neighbourhood.
Previous studies have shown that...
Analyzing several Russian nouns denoting everyday life objects, we explain
why a word sense frequency dictionary is necessary. Techniques of calculating
the approximate frequencies are proposed, based on the analysis of native
speaker surveys and the annotation of the most frequent collocations
in a large text corpus (we used the huge RuTenTen11 co...
Projects
Project (1)
Good-enough approach to language comprehension assumes that people do not always engage in full detailed processing of linguistic input. Rather, the parser forms shallow representations when confronted with some difficulty such as complex syntactic structure (“While Anna bathed the baby played in the crib”) or noisy input. Although the good-enough approach has been studied for some time, we still do not know what factors trigger this type of processing. In this study, we investigate two factors that might influence the reliance on the good-enough language processing strategy — age and noise.
