Low-frequency Words Research Articles

Word Choice Affects Social Judgments: Relational Messages Containing Low-Frequency Words Get Low Evaluations.

Prior research found a word complexity effect: Authors who use complex words are less favorably received when writing academic essays, business letters, and other relatively formal communications. The present study tested if word choice affects evaluations of messages between friends (Experiments 1-2) and spoken messages (Experiment 2). Three widespread dimensions of social judgments were studied - namely, persuasiveness, competence, and sincerity. Participants read/heard messages that varied (between-participants) by ordinary versus low-frequency words (sad vs. forlorn). Messages containing low-frequency words (mostly) received lower evaluations. Most importantly, word choice effects in messages between friends were consistently found - for both written and spoken language. Feedback analysis (Experiment 2) revealed that the overuse of "big vocabulary" conflicts with conscious social beliefs regarding ways to communicate, showing that social judgments spring from a combination of conscious social beliefs and the relatively unconscious influence of fluency.

Vocabulary sophistication in children’s L2 school writing

Abstract This paper tests three hypotheses about written vocabulary in child L2 English. Specifically, as children mature, (1) the mean frequency values of the nouns they use increase; (2) the mean frequencies of other parts-of-speech decrease; (3) the use of academic vocabulary increases only in certain types of writing. Using a corpus of writing by children in Norway, hypothesis 1 was confirmed up to the mid-teenage years. The mean frequency values of nouns then decreased. Analysis showed that the early increase is due to decreased repetition of low-frequency topic words. After age 15, frequencies drop as the main source of vocabulary moves from a region around the 150th most frequent lemma to one around the 550th. Hypotheses 2 and 3 were partially confirmed. Mean frequencies of non-nouns decreased in non-stories after Year 9. Non-stories became more academic across school years. Stories had much lower scores overall but also showed an increase at Year 10.

Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming.

The identification of visually presented words tolerates distortions in the input format, as Hannagan et al. Plos One, 7, e32121, (2012) demonstrated in a masked priming lexical decision task, showing sizable identity-priming effects with CAPTCHA-like primes. This tolerance to distortion has two potential explanations: bottom-up normalization in the encoding stage (Dehaene et al., Trends in Cognitive Sciences, 9, 335-341, 2005) or top-down lexical feedback (McClelland & Rumelhart, Psychological Review, 88, 375-407, 1981). To disentangle the predictions of these accounts, we conducted two masked identity-priming experiments with printed and CAPTCHA-like distorted primes on high- and low-frequency words. The rationale was that, in the distorted format, high-frequency words would benefit more from top-down feedback than low-frequency words. Results in the lexical decision experiment showed that, for high-frequency words, identity-priming effects were only slightly greater for printed than for CAPTCHA-like primes, whereas this difference was larger for low-frequency words. In contrast, when employing the same-different matching task, which does not require lexical access, the identity-priming effect was greater for printed primes and was unaffected by word frequency. Thus, during lexical access, top-down feedback may help normalize the visual input in the early stages of word recognition, challenging bottom-up models of visual word recognition.

Word length and frequency effects in natural Chinese reading: Evidence for character representations in lexical identification.

Word length and frequency are two of the "big three" factors that affect eye movements in natural reading. Although these factors have been extensively investigated, all previous studies manipulating word length have been confounded with changes in visual complexity (longer words have more letters and are more visually complex). We controlled stroke complexity across one-character (short) and two-character (long) high- and low-frequency Chinese words (to avoid complexity confounds) and recorded readers' eye movements during sentence reading. Both word length and frequency yielded strong main effects for fixation time measures. For saccadic targeting and skipping probability, word length effects, but not word frequency effects, occurred. Critically, the interaction was not significant regardless of stroke complexity, indicating that word length and frequency independently influence lexical identification and saccade target selection during Chinese reading. The results provide evidence for character-level representations during Chinese word recognition in natural reading.

The Enduring Challenge of Literacy Issues in Adulthood: Investigating Spelling Deficits among Dyslexic Italian University Students.

The issue of literacy challenges among dyslexic adults remains a significant concern. This study investigates spelling deficits among highly educated adults with dyslexia learning a transparent orthography. Thirty-eight Italian dyslexic university students were examined and compared to a group of age- and education-matched typical readers. Firstly, we analyzed spelling performance using a Passage Dictation Test. Additionally, lists of words varying in length and word frequency were dictated under two experimental conditions: a normal condition (NC) and an articulatory suppression condition (ASC). The ASC assessed the participants' ability to spell with interference to the phonological (sublexical) spelling procedure, i.e., the most likely compensated spelling strategy of Italian dyslexic spellers. The results clearly indicated that, in spelling the meaningful passage, dyslexic participants underperformed compared to the controls, with a prevalence of lexical errors, despite the comparison with the normative reference data showing only mild spelling difficulties. In spelling isolated words in normal conditions, dyslexic participants performed within the reference norms and as accurately as control participants across all stimuli (short words, high- and low-frequency words), except for long words, where their spelling difficulties were evident. Articulatory suppression significantly impaired dyslexics' performance on short stimuli, reducing the usual sublexical advantage associated with them, and exacerbated misspellings on long words. Additionally, articulatory suppression disproportionately affected dyslexics' performance on high-frequency words, diminishing the typical lexical advantage associated with these words. Results are discussed in terms of their theoretical, clinical, and educational implications.

Predictability in Language Comprehension: Prospects and Problems for Surprisal

Surprisal theory proposes that a word's predictability influences processing difficulty because each word requires the comprehender to update a probability distribution over possible sentences. This article first considers the theory's detailed predictions regarding the effects of predictability on reading time and N400 amplitude. Two rather unintuitive predictions appear to be correct based on the current evidence: There is no specific cost when an unpredictable word is encountered in a context where another word is predictable, and the function relating predictability to processing difficulty is logarithmic, not linear. Next, the article addresses the viability of the claim, also associated with Surprisal, that conditional probability is the “causal bottleneck” mediating all effects on incremental processing difficulty. This claim fares less well as conditional probability does not account for the difficulty associated with encountering a low-frequency word or the difficulty associated with garden path disambiguation. Surprisal provides a compelling account of predictability effects but does not provide a complete account of incremental processing difficulty.

The time course of semantic ambiguity in visual word recognition: behavioral and ERP evidence for the lexical-semantic effect.

Homonyms are words with multiple, unrelated meanings that share a single form and pronunciation. These words provide valuable insights into how semantic representation is retrieved and selected independently of orthography and phonology. This study aims to investigate the temporal dynamics of lexical and semantic processing in the visual recognition of Korean words. Specifically, we examine how homonyms and unambiguous words are processed differently during a lexical decision task (LDT) with EEG recording, considering the effects of word frequency and the number of meanings (NOMs). Participants performed a lexical decision task where they were required to determine if a visually presented stimulus was a valid Korean word. We compared the behavioral responses and event-related potentials (ERPs) evoked by homonyms and unambiguous words, each possessing either high or low word frequency. Both subjective and objective NOMs were measured and manipulated, while controlling for the subjective balance of individual frequencies of meanings to control for confounding from the relatedness of meaning (ROM). For ERP analysis, a non-parametric cluster-based permutation test was employed in addition to the two time windows of interest (i.e., N400 and P600). Behavioral results indicated a marginally significant interaction between word frequency and semantic ambiguity along with a main effect of word frequency, showing faster and more accurate responses for high-frequency words. An ambiguity advantage was observed only for low-frequency words, with no significant effect found for high-frequency words. ERP results revealed that lexical-semantic interactions were reflected in the modulations of the N400 and P600 components. High-frequency homonyms elicited an enhanced N400 amplitude, while low-frequency homonyms showed a reduced P600 amplitude. The findings suggest that the activation of semantic information occurs simultaneously with lexical processing, rather than during post-lexical or decision-making processes. Furthermore, considering balanced homonyms were employed in this study, inhibitory competition may arise from the high-frequency individual meanings of high-frequency words. In contrast, in low-frequency words, a facilitative effect may arise from gains in global semantic activation or semantic feedback to the orthographic level.

Vocabulary of reading materials in English and French L2 textbooks: A cross-lingual corpus study

Foreign language (L2) textbooks and specifically the reading materials they are constructed around constitute an essential source of input for learners. However, many questions remain about the lexical characteristics of L2 textbook reading materials. This study assesses (1) their vocabulary demands by means of vocabulary loads, (2) the representation of higher- and lower-frequency words, and (3) the extent to which words are repurposed across texts. A corpus was compiled containing the reading materials from three English and three French textbook series used across all six grades of Flemish secondary education to determine whether widely observed differences in learners’ out-of-school exposure (which is high for English but low for French) somehow impact the lexical characteristics of the materials. To analyse the corpus, a custom lexical profiling system was built in Python. Results show (1) a fairly consistent build-up in vocabulary loads in the English materials but not in the French materials, (2) the absence of 20–30% of the 5000 most frequent words (flemmas) in the English and French materials, respectively, and (3) limited potential in both L2s for reencountering words across texts, with ca. 50% of all introduced lexical items being used exclusively in one text.

Word Forms Reflect Trade-Offs Between Speaker Effort and Robust Listener Recognition.

How do cognitive pressures shape the lexicons of natural languages? Here, we reframe George Kingsley Zipf's proposed "law of abbreviation" within a more general framework that relates it to cognitive pressures that affect speakers and listeners. In this new framework, speakers' drive to reduce effort (Zipf's proposal) is counteracted by the need for low-frequency words to have word forms that are sufficiently distinctive to allow for accurate recognition by listeners. To support this framework, we replicate and extend recent work using the prevalence of subword phonemic sequences (phonotactic probability) to measure speakers' production effort in place of Zipf's measure of length. Across languages and corpora, phonotactic probability is more strongly correlated with word frequency than word length. We also show this measure of ease of speech production (phonotactic probability) is strongly correlated with a measure of perceptual difficulty that indexes the degree of competition from alternative interpretations in word recognition. This is consistent with the claim that there must be trade-offs between these two factors, and is inconsistent with a recent proposal that phonotactic probability facilitates both perception and production. To our knowledge, this is the first work to offer an explanation why long, phonotactically improbable word forms remain in the lexicons of naturallanguages.

Word frequency and cognitive effort in turns-at-talk: turn structure affects processing load in natural conversation.

Frequency distributions are known to widely affect psycholinguistic processes. The effects of word frequency in turns-at-talk, the nucleus of social action in conversation, have, by contrast, been largely neglected. This study probes into this gap by applying corpus-linguistic methods on the conversational component of the British National Corpus (BNC) and the Freiburg Multimodal Interaction Corpus (FreMIC). The latter includes continuous pupil size measures of participants of the recorded conversations, allowing for a systematic investigation of patterns in the contained speech and language on the one hand and their relation to concurrent processing costs they may incur in speakers and recipients on the other hand. We test a first hypothesis in this vein, analyzing whether word frequency distributions within turns-at-talk are correlated with interlocutors' processing effort during the production and reception of these turns. Turns are found to generally show a regular distribution pattern of word frequency, with highly frequent words in turn-initial positions, mid-range frequency words in turn-medial positions, and low-frequency words in turn-final positions. Speakers' pupil size is found to tend to increase during the course of a turn at talk, reaching a climax toward the turn end. Notably, the observed decrease in word frequency within turns is inversely correlated with the observed increase in pupil size in speakers, but not in recipients, with steeper decreases in word frequency going along with steeper increases in pupil size in speakers. We discuss the implications of these findings for theories of speech processing, turn structure, and information packaging. Crucially, we propose that the intensification of processing effort in speakers during a turn at talk is owed to an informational climax, which entails a progression from high-frequency, low-information words through intermediate levels to low-frequency, high-information words. At least in English conversation, interlocutors seem to make use of this pattern as one way to achieve efficiency in conversational interaction, creating a regularly recurring distribution of processing load across speaking turns, which aids smooth turn transitions, content prediction, and effective information transfer.

‘Bosyakiʼ, ‘Bosotaʼ and ‘Nishchebrodyʼ: the New Life of Old Word

The article examines semantic properties and usage peculiarities of words that denote individuals with low material wealth in contemporary colloquial speech. Words reflecting the division of people into the poor and the wealthy form rich synonymic sets. To denote the poor (as well as the wealthy) words with a long history, described in detail in explanatory dictionaries, are used. However, in new contexts these words lose some semantic features and acquire new ones. The article addresses such lexemes as ‘golodranecʼ, ‘oborvanecʼ, ‘bosyakʼ, ‘bosotaʼ, ‘nishchebrodʼ. Some of them (e. g., ‘bosyakʼ, ‘bosotaʼ, ‘nishchebrodʼ) are labeled as archaic in explanatory dictionaries. However, as contemporary contexts show, the stylistic status of such words has significantly changed: they develop new meanings, and then their “re-actualization” occurs. So, ‘bosyakʼ as a designation for a poor person belonging to the social lower classes of society, in modern speech, is increasingly being replaced by the noun ‘bomzhʼ, which is more relevant for today, while the word ‘bosyakʼ itself is often used to designate any negative characteristics of a person. The word ‘bosotaʼ also has undergone semantic changes. It is used not only to denote extreme poverty, but also to express the speaker’s negative attitude towards someone. As observations show, this word is quite familiar to modern speakers of colloquial Russian and is found in two accented versions: bosotá and bosóta. The use of the previously low frequency word ‘nishchebrodʼ in the meaning of “a person with low material wealth” has also being updated.

Event-related Potential Measures of Visual Word Processing in Monolingual and Bilingual Children and Adults: A Focus on Word Frequency Effects.

How does language background influence the neural correlates of visual word recognition in children? To address this question, we used an ERP lexical decision task to examine first-language (L1) and second-language (L2) visual word processing in monolingual and bilingual school-aged children and young adults (n = 123). In particular, we focused on the effects of word frequency (an index of lexical accessibility) on RTs and the N400 ERP component. Behaviorally, we found larger L1 versus L2 word frequency effects among bilingual children, driven by faster and more accurate responses to higher-frequency words (no other language or age group differences were observed). Neurophysiologically, we found larger L1 word frequency effects in bilinguals versus monolinguals (across both age groups), reflected in more negative ERP amplitudes to lower-frequency words. However, the bilingual groups processed L1 and L2 words similarly, despite lower levels of subjective and objective L2 proficiency. Taken together, our findings suggest that divided L1 experience (but not L2 experience) influences the neural correlates of visual word recognition across childhood and adulthood.

Exploring the Impact of Online Translation on Writing Revision among Chinese Non-English Major Students

The present study examined the efficacy of online translation as an auxiliary revision tool for Chinese non-English majors, assessing its influence on writing performance and the students’ perceptions of its role in the revision process. This study employed writing task, questionnaire survey, and semi-structured interview to examine the efficacy of online translation as an auxiliary revision tool for Chinese non-English majors, assessing its influence on writing performance and the students’ perceptions of its role in the revision process. A total of 94 Chinese non-English majors who learn English as a foreign language (EFL) participated in the study. The results indicate that compared with those who revise their texts independently, those Chinese non-English majors who refer to online translation in the process of revision, made significantly more changes at the below-clause and clause and above levels in terms of revision domain, with increased additions and substitutions. Additionally, having access to online translation in the process of revision, Chinese non-English majors significantly increased their text length in final drafts, with decreased error rate, more low-frequency and sophisticated words, and varied lexical choices. Besides, virtually most of the participants use online translation frequently in English writing activities with a generally positive attitude towards the integration of online translation into English writing revision. For English teachers, they can consider allowing students to use online translation in the process of revision and giving students sufficient guidance on how best to realize its fullest potential. For Chinese non-English majors, they’d better keep improving their self-learning ability and double-check the online translation output by using other resources.

The word frequency effect in first- and second-language reading by Chinese and Dutch bilinguals

Abstract High-frequency words are processed faster than low-frequency words, known as the word frequency effect (FE). Although the FE has been studied in various writing systems as well as in first- (L1) and second-language (L2) reading, existing theoretical hypotheses are mainly based on findings in alphabetic languages. To date, no study has investigated theoretical explanations of the FE such as the learning hypothesis, the lexical entrenchment hypothesis and the rank hypothesis apply to Chinese–English bilinguals. The present study, therefore, compared the FEs in Chinese– and Dutch–English bilinguals during natural paragraph reading in their L1 and L2, using eye-tracking measures. Chinese bilinguals exhibited a larger FE in L2 than in L1. They displayed smaller L1 FEs and much steeper L2 FE curves than Dutch bilinguals. These findings are not entirely consistent with the existing FE hypotheses, and the present study discusses theoretical accounts in light of the observed results.

Cognitive Strategies of Second Language Vocabulary Inferencing: An Eye Tracking Study

In contextual vocabulary acquisition, second language learners address both morphological and contextual cues to infer the meanings of novel words. The study investigated cognitive strategies and their eye movement correlates in contextual vocabulary inferencing task. A sample of 30 healthy participants with normal or corrected to normal vision read an Intermediate-level text in English, aiming to define the meaning of 10 low-frequency words embedded in the text. Based on both unstructured and structured post-hoc reports, we attributed the inferencing process either to word-level processing, context-level processing, or discourse-level processing strategy. Eye movements were recorded on the target word and on the target word clause areas of interest. Inferencing success was associated with increased first fixation duration on the target word both for word- and context-level processing strategy, and increased dwell time on the target word clause for context-level processing strategy. Our findings emphasize the role of both morphological and contextual processing in vocabulary inferencing task.

Orthographic and Semantic Learning During Shared Reading: Investigating Relations to Early Word Reading.

Shared reading provides preschool-age children with the opportunity to learn novel, low-frequency words. Abundant empirical evidence demonstrates that children can learn the meanings of such words during shared reading, referred to as "semantic learning." However, less is known about whether children learn the spellings of words during shared reading, referred to as "orthographic learning," and whether this learning is related to early word reading. The present study tested relations between individual differences in 4- to 6-year-old children's semantic and, critically, orthographic learning during shared reading and their early word reading skill. In an adaptation of the self-teaching paradigm, children listened to a storybook about novel inventions referred to with nonword names. Children then completed orthographic and semantic choice tests, as well as standardized measures of early word reading and phonological awareness. Individual differences in orthographic, but not semantic, learning during shared reading were related to early word reading, after controls for age and phonological awareness. This study provides a novel test of learning during shared reading, helping to specify the relation between orthographic and semantic learning and early word reading skill. These findings hold implications for theoretical perspectives on relations between learning during shared reading and early word reading, as well as implications for educational practice. https://doi.org/10.23641/asha.25492765.

Processing Mandarin Chinese Compound Words by Native Speakers and Second Language Learners: Word Frequency, Semantic Transparency, and Word Structure

This study examined how Chinese native speakers (NSs) and second language (L2) learners process compound words. The findings showed that they used the hybrid model of coexistence for whole word and morphemes; and were influenced by word frequency, semantic transparency, and word structure. The results revealed that two groups of participants used hybrid representation when identifying high-frequency words and whole-word representation when identifying low-frequency words. Besides, semantic transparency might impact word structure awareness, and subject-predicate words were the most difficult to process. The research also showed that L2 learners’ word frequency effect was more robust than NSs’; morpheme location information might affect NSs, but L2 learners could not process it. There was variation in NSs’ speed in recognizing transparent and obscure words, but there was no difference among L2 learners. Besides, L2 learners’ word recognition speed could not reach the levels of NSs.

Measuring the English vocabulary acquisition of Japanese learners

The measurable vocabulary knowledge of Japanese learners of English (JLEs) has yet to be fully investigated. This study, therefore, attempts a detailed investigation of JLEs’ vocabulary knowledge to clarify the relationship between the frequency of words and their difficulty level and to identify the factors that affect the difficulty of vocabulary learning. We tested 192 university-level JLEs on 1,035 verbs, requesting that they choose a correct Japanese translation. The average number of correct answers for each verb was compared with its frequency ranking. Moreover, the characteristics of verbs that received high and low percentages of correct answers were examined. The three major findings were as follows. First, the average number of correct answers was 751.97 (72.65% of the verbs investigated). Second, the average number of correct answers decreased as the frequency of the verb decreased. However, this tendency diminished beyond the 4,000-word level. Finally, not a few low-frequency verbs garnered a high percentage of correct answers; these were verbs that included affixes or were English loanwords that were possibly known to JLEs. However, other low-frequency verbs received a low percentage of correct answers because they had abstract or multiple meanings and lacked clues that could facilitate an understanding of the word’s meaning. We concluded that these were the main factors affecting the degree of difficulty in learning each vocabulary item. Regarding this study’s pedagogical implications, efficient use should be made of English-based loanwords and affixes, and university-level JLEs should intentionally learn low-frequency words.

Frequency effects in linear discriminative learning.

Word frequency is a strong predictor in most lexical processing tasks. Thus, any model of word recognition needs to account for how word frequency effects arise. The Discriminative Lexicon Model (DLM) models lexical processing with mappings between words' forms and their meanings. Comprehension and production are modeled via linear mappings between the two domains. So far, the mappings within the model can either be obtained incrementally via error-driven learning, a computationally expensive process able to capture frequency effects, or in an efficient, but frequency-agnostic solution modeling the theoretical endstate of learning (EL) where all words are learned optimally. In the present study we show how an efficient, yet frequency-informed mapping between form and meaning can be obtained (Frequency-informed learning; FIL). We find that FIL well approximates an incremental solution while being computationally much cheaper. FIL shows a relatively low type- and high token-accuracy, demonstrating that the model is able to process most word tokens encountered by speakers in daily life correctly. We use FIL to model reaction times in the Dutch Lexicon Project by means of a Gaussian Location Scale Model and find that FIL predicts well the S-shaped relationship between frequency and the mean of reaction times but underestimates the variance of reaction times for low frequency words. FIL is also better able to account for priming effects in an auditory lexical decision task in Mandarin Chinese, compared to EL. Finally, we used ordered data from CHILDES to compare mappings obtained with FIL and incremental learning. We show that the mappings are highly correlated, but that with FIL some nuances based on word ordering effects are lost. Our results show how frequency effects in a learning model can be simulated efficiently, and raise questions about how to best account for low-frequency words in cognitive models.

NewAbstractConcepts: A Database of 42 Normed Abstract Concepts and Exemplars.

Recently, researchers have expressed challenges in conducting word-learning experiments in adult populations due to limited availability of normed stimulus materials. This constraint often prompts the use of low-frequency or low-prevalence words, introducing the potential influence of prior knowledge or direct translation to familiar words. In response, we developed novel abstract concepts devoid of word referents, providing better control over prior knowledge. These new concepts describe situations encountered in various settings for which there is no existing word in English. The resulting database comprises 42 normed New Abstract Concepts, offering unique materials structured through scenarios, each containing similar and dissimilar exemplars. These materials underwent meticulous norming for relatability and similarity levels across a series of studies. The success of our approach was demonstrated in a word-learning experiment examining the effects of similarity and diversity. The database serves as a valuable resource for selecting stimuli in experiments exploring the learning of abstract semantic concepts, particularly investigating the role of similarity versus diversity in concept learning. The database is available on OSF (https://osf.io/svm2p/).