Lexical Decision Latencies Research Articles

Body-object interaction ratings for 3600 French nouns.

Body-object interaction (BOI) measures the ease with which the human body can interact with the concept represented by a word. This research focuses on two main objectives: first, to establish French norms for the psycholinguistic variable BOI, and second, to investigate the contribution of BOI to language processing in French. We collected BOI ratings for 3600 French nouns from participants through an online platform. The inter- and intrastudy reliability of these new ratings indicate that the ratings are robust. We then aimed to determine the role of BOI in word recognition. A hierarchical regression analysis was conducted using lexical decision reaction times (RTs) as the dependent variable. BOI was found to be a significant predictor of lexical decision latencies, beyond the contribution of word length, frequency, orthographic distinctiveness, and imageability. Contrary to previous findings in English, higher BOI values were associated with longer RTs in French, indicating an inhibitory effect of BOI on French word processing. Methodological differences may account for this divergent result. Taken together, the results of this study show the independent contribution of BOI to word recognition in French. This supports the notion that sensorimotor information is a crucial component of language processing. By providing a reliable and sizable BOI database for French nouns, we offer a valuable resource for psycholinguistic and language processing research. This research underscores the complex relationship between language, cognition, and sensorimotor experiences, advancing our comprehension of language processing mechanisms.

Malay Lexicon Project 3: The impact of orthographic-semantic consistency on lexical decision latencies.

Theories of word processing propose that readers are sensitive to statistical co-occurrences between spelling and meaning. Orthographic-semantic consistency (OSC) measures provide a continuous estimate of the statistical regularities between spelling and meaning. Here we examined Malay, an Austronesian language that is agglutinative. In Malay, stems are often repeated in other words that share a related meaning (e.g., sunyi/quiet; ke-sunyi-an/silence; makan/eat; makan-an/foods). The first goal was to expand an existing large Malay database by computing OSC estimates for 2,287 monomorphemic words. The second goal was to explore the impact of root family size and OSC on lexical decision latencies for monomorphemic words. Decision latencies were collected for 1,280 Malay words of various morphological structures. Of these, data from 1,000 monomorphemic words were analysed in a series of generalised additive mixed models (GAMMs). Root family size and OSC were significant predictors of decision latencies, particularly for lower frequency words. We found a facilitative effect of root family size and OSC. Furthermore, we observed an interaction between root family size and OSC in that an effect of OSC was only apparent in words with larger root families. This interaction has not yet been explored in English but has the potential to be a new benchmark effect to test distributional models of word processing.

문해력과 어휘 접속 효율 간의 관련성

Although the literacy has been recently emphasized in many areas, it is known rarely that the relationship between the literacy and the word recognition process. To find the relationship, the present study conducted an exploratory study to investigate whether a correlation between the literacy and the lexical access in a process of word recognition existed, and an experiment to specify the relation among two variables. This study found that a relevance between the literacy and lexical decision latencies and accuracy rates reflecting the effectiveness of lexical access through the exploratory study. The experimental study used the lexical decision task that ask participants to press “word” or “nonword” button when they showed strings on the monitor as correctly and rapidly as they can. Four hundred words were selected from Korean newspapers DB and dialog DB randomly and used stimuli in the lexical decision task. The current study used verified questionary for the literacy. The results show that upper score group in the literacy score elicit faster lexical decision latency and higher accuracy than lower score group. Based on the result, the present study explained which processes of the lexical access were more efficient in the upper group as compared to the lower group.

The distributional properties of prefixes influence lexical decision latencies

Abstract Morphological processing has been extensively studied in English and European languages, but there is a growing interest in extending the research to other languages. Here we examined Malay, an Austronesian language that is morphologically rich. We investigated the effects of morphological constituents on lexical decisions for prefixed words. Specifically, we explored whether readers are sensitive to any distributional properties of the prefix and root morphemes. Variables investigated included length and family size for both prefixes and roots, as well as number of allomorphs, consistency, and productivity for prefixes. Decision latencies were collected for 1,280 Malay words of various morphological structures. Data from the 640 prefixed words were analyzed in a series of GAMM models. We observed a facilitative effect of root family size and an effect of several distributional properties of prefixes on decision latencies after accounting for word frequency and length. Furthermore, a larger interaction between frequency and several distributional properties of prefixes was found for words with three-letter prefixes than for those with two-letter prefixes. These findings provide insight into the types of distributional properties to which Malay readers are sensitive in multimorphemic words.

SCOPE: The South Carolina psycholinguistic metabase.

The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The metabase currently contains 245 lexical variables, organized into seven major categories: General (e.g., frequency), Orthographic (e.g., bigram frequency), Phonological (e.g., phonological uniqueness point), Orth-Phon (e.g., consistency), Semantic (e.g., concreteness), Morphological (e.g., number of morphemes), and Response variables (e.g., lexical decision latency). We hope that SCOPE will become a valuable resource for researchers in psycholinguistics and affiliated disciplines such as cognitive neuroscience of language, computational linguistics, and communication disorders. The availability and ease of use of the metabase with comprehensive set of variables can facilitate the understanding of the unique contribution of each of the variables to word processing, and that of interactions between variables, as well as new insights and development of improved models and theories of word processing. It can also help standardize practice in psycholinguistics. We demonstrate use of the metabase by measuring relationships between variables in multiple waysand testing their individual contribution towards a number of dependent measures, in the most comprehensive analysis of this kind to date. The metabase is freely available at go.sc.edu/scope.

Morphological Priming Effects in L2 English Verbs for Japanese-English Bilinguals.

For native (L1) English readers, masked presentations of past-tense verb primes (e.g., fell and looked) produce faster lexical decision latencies to their present-tense targets (e.g., FALL and LOOK) than orthographically related (e.g., fill and loose) or unrelated (e.g., master and bank) primes. This facilitation observed with morphologically related prime-target pairs (morphological priming) is generally taken as evidence for strong connections based on morphological relationships in the L1 lexicon. It is unclear, however, if similar, morphologically based, connections develop in non-native (L2) lexicons. Several earlier studies with L2 English readers have reported mixed results. The present experiments examine whether past-tense verb primes (both regular and irregular verbs) significantly facilitate target lexical decisions for Japanese-English bilinguals beyond any facilitation provided by prime-target orthographic similarity. Overall, past-tense verb primes facilitated lexical decisions to their present-tense targets relative to both orthographically related and unrelated primes. Replicating previous masked priming experiments with L2 readers, orthographically related primes also facilitated target recognition relative to unrelated primes, confirming that orthographic similarity facilitates L2 target recognition. The additional facilitation from past-tense verb primes beyond that provided by orthographic primes suggests that, in the L2 English lexicon, connections based on morphological relationships develop in a way that is similar to how they develop in the L1 English lexicon even though the connections and processing of lower level, lexical/orthographic information may differ. Further analyses involving L2 proficiency revealed that as L2 proficiency increased, orthographic facilitation was reduced, indicating that there is a decrease in the fuzziness in orthographic representations in the L2 lexicon with increased proficiency.

Cross-Language Influences in the Processing of Multiword Expressions: From a First Language to Second and Back.

The present study investigated cross-language influences in the processing of binomial expressions (knife and fork), from a first language (L1) to a second language (L2) and from L2 to L1. Two groups of unbalanced bilinguals (Chinese/L1-English/L2 and English/L1-Chinese/L2) and a control group of English monolinguals performed a visual lexical decision task that incorporated unmasked priming. To assess cross-language influences, we used three types of expressions: congruent binomials (English binomials that have translation equivalents in Chinese), English-only binomials, and Chinese-only binomials translated into English. Lexical decision latencies to the last word (fork) in a binomial (knife and fork) were compared with response latencies to the same word in a matched control phrase (spoon and fork). We found that (1) Chinese-English bilinguals showed a significant priming effect for congruent binomials but no facilitation for English-only binomials, (2) English–Chinese bilinguals showed a trend toward priming for congruent binomials, which did not reach statistical significance, and no priming for English-only binomials, (3) English monolinguals showed comparable priming for congruent and English-only binomials. With respect to the Chinese-only binomials, none of the three participant groups showed priming for translated Chinese-only binomials over controls. These findings suggest that L1 influences the processing of L2 binomials, and that there may be some cross-linguistic influence in the opposite direction, i.e., from L2 to L1, although to a lesser extent.

A word or two about nonwords: Frequency, semantic neighborhood density, and orthography-to-semantics consistency effects for nonwords in the lexical decision task.

For the most part, the effects of lexical-distributional properties of words on visual word recognition are well-established. More uncertainty remains, however, about the influence of these properties on lexical processing for nonwords. The work presented here investigates the mechanisms that guide nonword processing through an analysis of lexical decision latencies for 18,547 words and 27,079 nonwords in the British Lexicon Project (Keuleers, Lacey, Rastle, & Brysbaert, 2012) using piecewise generalized mixed models (pamms; Bender, Groll, & Scheipl, 2018; Bender & Scheipl, 2018; Bender, Scheipl, Hartl, Day, & Küchenhoff, 2018). The pamm analysis of the data revealed 2 novel effects for nonwords in the lexical-decision task. First, whereas previous studies reported effects of base word frequency, the current study is the first to document a true nonword frequency effect. Second, we report effects of semantic neighborhood density and orthography-to-semantics consistency; not only for words, but also for nonwords. The effects of frequency, semantic neighborhood density and orthography-to-semantics consistency are facilitatory for words, but inhibitory for nonwords. The pamm analysis offers insights into the temporal development of the effects of lexical-distributional variables that are not available through more traditional analysis techniques and that shed new light on lexical processing in visual word recognition tasks. The implications of the reported results for models of visual word recognition are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Modeling Morphological Priming in German With Naive Discriminative Learning

Both localist and connectionist models, based on experimental results obtained for English and French, assume that the degree of semantic compositionality of a morphologically complex word is reflected in how it is processed. Since priming experiments using English and French morphologically related prime-target pairs reveal stronger priming when complex words are semantically transparent (e.g., {\em refill--fill\/}) compared to semantically more opaque pairs (e.g., {\em restrain--strain}), localist models set up connections between complex words and their stems only for semantically transparent pairs. Connectionist models have argued that the effect of transparency should arise as an epiphenomenon in PDP networks. However, for German, a series of studies has revealed equivalent priming for both transparent and opaque prime-target pairs, which suggests mediation of lexical access by the stem, independent of degrees of semantic compositionality. This study reports a priming experiment that replicates equivalent priming for transparent and opaque pairs. We show that these behavioral results can be straightforwardly modeled by a computational implementation of Word and Paradigm Morphology ({\sc wpm}), Naive Discriminative Learning ({\sc ndl}). Just as {\sc wpm}, {\sc ndl} eschews the theoretical construct of the morpheme. {\sc Ndl} succeeds in modeling the German priming data by inspecting the extent to which a discrimination network pre-activates the target lexome from the orthographic properties of the prime. Measures derived from an {\sc ndl} network, complemented with a semantic similarity measure derived from distributional semantics, predict lexical decision latencies with somewhat improved precision compared to classical measures such as word frequency, prime type, and human association ratings. We discuss both the methodological implications of our results, as well as their implications for models of the mental lexicon.

Contributions of semantic and contextual diversity to the word frequency effect in L2 lexical access.

Word frequency has long been viewed as the best predictor of lexical access. However, recent findings have suggested that other corpus-derived metrics (i.e., contextual diversity, semantic diversity) can better explain the word frequency effect in both native speakers and in proficient bilinguals. However, little is known about the contributions of these variables to second language lexical access, where the word frequency effect is purportedly larger than in native speakers. Results from a lexical-decision task with second language learners and a comparison group of native speakers revealed that both contextual diversity and semantic diversity were just as good, if not better, at explaining variance in lexical decision latencies as word frequency. These findings are broadly consistent with that of monolinguals and proficiency bilinguals. The results also underscore the need for more theoretical and empirical focus on different corpus metrics in modelling lexical access. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

MorphoLex-FR: A derivational morphological database for 38,840 French words.

Studies on morphological processing in French, as in other languages, have shown disparate results. We argue that a critical and long-overlooked factor that could underlie these diverging results is the methodological differences in the calculation of morphological variables across studies. To address the need for a common morphological database, we present MorphoLex-FR, a sizeable and freely available database with 12 variables for prefixes, roots, and suffixes for the 38,840 words of the French Lexicon Project. MorphoLex-FR constitutes a first step to render future studies addressing morphological processing in French comparable. The procedure we used for morphological segmentation and variable computation is effectively the same as that in MorphoLex, an English morphological database. This will allow for cross-linguistic comparisons of future studies in French and English that will contribute to our understanding of how morphologically complex words are processed. To validate these variables, we explored their influence on lexical decision latencies for morphologically complex nouns in a series of hierarchical regression models. The results indicated that only morphological variables related to the suffix explained lexical decision latencies. The frequency and family size of the suffix exerted facilitatory effects, whereas the percentage of more frequent words in the morphological family of the suffix was inhibitory. Our results are in line with previous studies conducted in French and in English. In conclusion, this database represents a valuable resource for studies on the effect of morphology in visual word processing in French.

USING LEXICAL FEATURES TO INVESTIGATE SECOND LANGUAGE LEXICAL DECISION PERFORMANCE

AbstractA large dataset of word recognition behavior from nonnative speakers (NNS) of English was collected using an online crowdsourced lexical decision task. Lexical features were used to predict NNS lexical decision latencies and accuracies. Predictors of NNS latencies and accuracy included contextual diversity, age of acquisition, and contextual distinctiveness, while length moderated the impact of contextual diversity and neighborhood size on accuracy. Results have implications for second language word recognition and demonstrate that NNS behavioral data collected through large crowdsourcing projects can afford a rich source for SLA research.

Norms of conceptual familiarity for 3,596 French nouns and their contribution in lexical decision.

In the last decade, research has shown that word processing is influenced by the lexical and semantic features of words. However, norms for a crucial semantic variable-that is, conceptual familiarity-have not been available for a sizeable French database. We thus developed French Canadian conceptual familiarity norms for 3,596 nouns. This enriches Desrochers and Thompson's (2009) database, in which subjective frequency and imageability values are already available for the same words. We collected online data from 313 Canadian French speakers. The full database of conceptual familiarity ratings is freely available at http://lingualab.ca/fr/projets/normes-de-familiarite-conceptuelle . We then demonstrated the utility of these new conceptual familiarity norms by assessing their contribution to lexical decision times. We conducted a stepwise regression model with conceptual familiarity in the last step. This allowed us to assess the independent contribution of conceptual familiarity beyond the contributions of other well-known psycholinguistic variables, such as frequency, imageability, and age of acquisition. The results showed that conceptual familiarity facilitated lexical decision latencies. In sum, these ratings will help researchers select French stimuli for experiments in which conceptual familiarity must be taken into account.

Chinese lexical database (CLD) : A large-scale lexical database for simplified Mandarin Chinese.

We present the Chinese Lexical Database (CLD): a large-scale lexical database for simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character words, 34,233 two-character words, 7143 three-character words, and 3355 four-character words, and is publicly available through http://www.chineselexicaldatabase.com . For each of the 48,644 words in the CLD, we provide a wide range of categorical predictors, as well as an extensive set of frequency measures, complexity measures, neighborhood density measures, orthography-phonology consistency measures, and information-theoretic measures. We evaluate the explanatory power of the lexical variables in the CLD in the context of experimental data through analyses of lexical decision latencies for one-character, two-character, three-character and four-character words, as well as word naming latencies for one-character and two-character words. The results of these analyses are discussed.

Effects of Grammatical Structure of Compound Words on Word Recognition in Chinese

Two lexical priming experiments were conducted to examine effects of grammatical structure of Chinese two-constituent compounds on their recognition. The target compound words conformed to two types of grammatical structure: subordinate and coordinative compounds. Subordinate compounds follow a structure where the first constituent modifies the second constituent (e.g., , meaning snowball); here the meaning of the second constituent (head) is modified by the first constituent (modifier). On the other hand, in coordinative compounds both constituents contribute equally to the word meaning (e.g., , wind and rain, meaning storm where the two constituent equally contribute to the word meaning). In Experiment 1 that was a replication attempt of Liu and McBride-Chang (2010), possible priming effects of word structure and semantic relatedness were examined. In lexical decision latencies only a semantic priming effect was observed. In Experiment 2, compound word structure and individual constituents were primed by the prime and target sharing either the first or second constituent. A structure priming effect was obtained in lexical decision times for subordinate compounds when the prime and target compound shared the same constituent. This suggests that a compound word constituent (either the modifier or the head) has to be simultaneously active with the structure information in order for the structure information to exert an effect on compound word recognition in Chinese. For the coordinative compounds the structure priming effect was non-significant. When the meaning of the whole word was primed (Experiment 1), no structure effect was observable. The pattern of results suggests that effects of structure priming are constituent-specific and no general structure priming was observable.

MorphoLex: A derivational morphological database for 70,000 English words.

Most of the new words a reader will find are morphologically complex. Also, theoretical models of language processing propose that morphology plays an important role in visual word processing. Nevertheless, studies on the subject show contradicting results that are difficult to reconcile. One factor that may explain this is the lack of a sizeable and reliable morphological database. As a consequence, there are enormous methodological differences in the way the values for morphological variables are calculated across studies. We present a sizeable and freely available database with six new variables for affixes and three for roots for 68,624 words from the English Lexicon Project. We further studied by means of regression models the influence of these new variables on the lexical decision latencies of 4,724 morphologically complex nouns that included one root and one suffix. Results showed that root frequency and suffix length had a facilitatory effect, whereas the percentage of more frequent words in the morphological family of the suffix had an inhibitory effect on latencies. After controlling for collinearity, root family size, suffix family size, suffix P*, and suffix frequency also had facilitatory effects. These results shed new light on the importance of suffix length and the frequency of the lexical competitors of the family of a suffix. This database represents a valuable resource for studies on the effect of morphology in visual word processing in English and can be found at https://github.com/hugomailhot/MorphoLex-en .

The Role of Semantics in Spanish Word Recognition: an Insight from Lexical Decision and Categorization Tasks

AbstractThis study examines the factors affecting word recognition in a language with a consistent system to map letters into sounds; Spanish. The influence of semantics on the recognition of words in languages with inconsistent mappings, such as English, is well documented. Not much is known for other languages. A lexical decision task and two category verification tasks with varying levels of semantic complexity were used. In contrast to English, none of the semantic variables entered into the analyses had a significant impact on lexical decision latencies or errors. Imageability showed an influence on responses to both category verification tasks while the effect of connectivity was marginally significant in the category verification task with the greatest semantic complexity. Results indicate that word recognition decisions can be made without the involvement of central components of the semantic system. The role of semantics in word recognition in languages with consistent spelling systems will be discussed.

Spelling Errors Impede Recognition of Correctly Spelled Word Forms

ABSTRACTSpelling errors are typically thought of as an effect of a word’s weak orthographic representation in an individual mind. What if existence of spelling errors is a partial cause of effortful orthographic learning and word recognition? We selected words that had homophonic substandard spelling variants of varying frequency (e.g., innocent and inocent occur in 69% and 31% of occurrences of the word, respectively). Conventional spellings were presented for recognition either in context (Experiment 1, eye-tracking sentence reading) or in isolation (Experiment 2, lexical decision). Words elicited longer fixation durations and lexical decision latencies if there was more uncertainty (higher entropy) regarding which spelling is a preferred one. The inhibitory effect of frequency was not modulated by spelling or other reading skill. This finding is in line with theories of learning that predict spelling errors to weaken associations between conventional spellings and the word’s meaning.

Using Native-Speaker Psycholinguistic Norms to Predict Lexical Proficiency and Development in Second-Language Production

A large data set of L1 psycholinguistic norms (Balota et al. 2007) was used to assess spoken L2 English lexical proficiency in cross-sectional and longitudinal learner corpora. Behavioral norms included lexical decision and word naming latencies (i.e. reaction times) and accuracies for 40,481 English words. A frequency measure was included to compare the relative strength of the norms to a traditional lexical measure when explaining proficiency and growth. The cross-sectional study revealed that learners identified as more lexically proficient by human raters produced words that were recognized more slowly and named more slowly and less accurately in L1 experimental settings. Moreover, lexical decision latencies explained more variance in ratings than frequency, while frequency and word naming latencies were comparable. The longitudinal study indicated that words produced by L2 speakers over time were recognized less accurately and named more slowly and less accurately by L1 subjects, while the frequency of those words decreased over time. Together, results demonstrate that L1 psycholinguistic information can index L2 lexical proficiency and growth across corpora while adding unique information to our understanding of L2 lexical knowledge.

Discrimination in lexical decision.

In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures—in particular, frequency counts and form similarity measures—to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently.