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Formulaic language

Formulaic language refers to prefabricated sequences of words or multiword units that are stored and retrieved holistically from long-term memory, rather than being generated anew through rule-based grammatical processes.^[1] These units encompass a range of forms, including idioms (e.g., "kick the bucket"), collocations (e.g., "strong tea"), lexical bundles (e.g., "on the other hand"), and conversational routines (e.g., "how are you?"), which function as single, conventionalized chunks in discourse.^[1] Formulaic language constitutes 25–60% of everyday spoken and written discourse, depending on context and corpus analysis, highlighting its prevalence in natural language use.^[2] Research on formulaic language originated in the late 20th century, emerging from corpus linguistics studies that revealed the frequency and conventionality of multiword patterns in authentic language data, such as the Bank of English corpus.^[1] Seminal works, including Pawley and Syder's 1983 paper on native-speaker fluency and Nattinger and DeCarrico's 1992 analysis of lexical phrases, established formulaic sequences as central to idiomatic and efficient communication, challenging traditional views of language as purely compositional.^[3] Subsequent scholarship, including Wray's 2000 definition emphasizing holistic storage and retrieval, has expanded the field through psycholinguistic experiments demonstrating faster processing and psychological reality of these units.^[3] The importance of formulaic language lies in its role in enhancing fluency and naturalness across first (L1) and second (L2) language acquisition and production.^[1] In L1 development, children initially rely on unanalyzed formulas as building blocks, gradually segmenting them to abstract grammatical rules, as observed in studies of early child speech.^[3] For L2 learners, formulaic sequences serve as cognitive aids to bypass memory limitations, promote pragmatic competence, and achieve native-like proficiency, with experts using them more extensively than novices in academic and conversational contexts.^[4] Neurologically, formulaic language engages distinct pathways, including right-hemisphere and subcortical structures like the basal ganglia, differing from the left-hemisphere dominance in novel, propositional language construction.^[2] Key aspects include its pragmatic functions, such as structuring discourse (e.g., "as a result") or facilitating social interactions (e.g., greetings), and its variation across genres—more fixed in speech than in variable academic writing.^[1] Corpus-driven approaches, using measures like mutual information scores or association frequencies, have enabled precise identification and analysis, underscoring formulaic language's efficiency in reducing cognitive load during real-time production.^[3] Ongoing research emphasizes its relevance in language teaching, where explicit instruction in formulas can accelerate L2 fluency and idiomaticity.^[1]

Introduction and Background

Definition and Scope

Formulaic language refers to prefabricated sequences of words or other linguistic elements that are stored and retrieved holistically from memory during use, rather than being constructed through rule-based grammatical analysis.^[5] These sequences, often called formulaic sequences, include multi-word units such as idioms (e.g., English "kick the bucket" meaning to die), conversational routines (e.g., "how are you?"), and fixed expressions, which may be compositional or non-compositional.^[6] Non-compositionality occurs in cases where the meaning or function deviates from the literal combination of components, as in idioms, but many formulaic sequences, such as collocations, are fully compositional. According to Alison Wray's framework, this holism in storage distinguishes formulaic language as a dedicated cognitive resource, promoting efficient communication by bypassing incremental word-by-word assembly.^[7] In contrast to analytic language production, where speakers generate utterances by applying grammatical rules to individual words, formulaic language relies on prefabricated chunks that are retrieved as wholes, often exhibiting high frequency of use within a speech community.^[5] Key criteria for identifying such sequences include holistic storage and retrieval from memory, institutionalization reflecting their conventional acceptance and stability in the language system, and high frequency; idiomaticity, where the overall meaning cannot be deduced from the parts, applies primarily to certain subtypes like idioms.^[8] This distinction highlights formulaic language's role in streamlining expression, as opposed to the more effortful, compositional processes of novel sentence creation. The scope of formulaic language encompasses a wide array of forms, including proverbs, collocations (e.g., "strong tea"), binomials (e.g., "null and void"), and phrasal verbs (e.g., "give up"), appearing more prominently in spoken language due to its interactive and spontaneous nature, though also integral to written discourse for stylistic cohesion.^[9] Cross-linguistically, these sequences demonstrate universality, as seen in English idioms like "spill the beans," Mandarin chengyu such as "bēi gōng shé yǐng" (杯弓蛇影, literally "cup bow snake shadow," meaning groundless worry), and Arabic politeness formulas like "in shā' Allāh" (إِنْ شَاءَ ٱللَّٰهُ, "if God wills," used for future intentions).^[10]^[11] Such examples illustrate how formulaic language adapts to cultural and structural contexts across typologically diverse languages. Neurological evidence suggests these sequences enable faster processing via dedicated brain pathways, enhancing overall fluency.^[12]

Historical Development

The concept of formulaic language traces its origins to early 20th-century studies of oral traditions, particularly in literary analysis. Milman Parry's 1928 doctoral dissertation, Les formules et la métrique d'Homère, demonstrated that the Homeric epics relied on fixed, repetitive phrases—termed "formulas"—to facilitate oral composition and performance, challenging notions of Homer as a singular author and highlighting the role of prefabricated elements in traditional poetry.^[13] Albert Lord expanded this framework in his 1960 book The Singer of Tales, applying Parry's oral-formulaic theory to comparative fieldwork on South Slavic epic singers, showing how formulaic expressions enabled improvisation and memory in non-literate cultures.^[14] In the mid-20th century, linguistic scholarship shifted toward prefabricated phrases in everyday spoken language. Dwight Bolinger's 1976 article "Meaning and Memory" argued that much of language production involves retrieving stored "prefabs" or ready-made chunks, emphasizing their efficiency in overcoming memory limitations during speech.^[15] Building on this, Andrew Pawley's work in the 1980s, notably his 1983 co-authored paper "Two Puzzles for Linguistic Theory," integrated phraseology into systemic functional linguistics, proposing that native-like fluency depends on vast repertoires of "sentence stems" or multi-word units stored holistically rather than composed word-by-word. Modern developments have synthesized these ideas within cognitive linguistics, viewing formulaic language as a core component of the mental lexicon. Alison Wray's 2002 monograph Formulaic Language and the Lexicon synthesized interdisciplinary evidence to define formulaic sequences as stored units serving social and cognitive functions, bridging discourse analysis and psycholinguistics.^[5] Joan Bybee's 2006 paper "From Usage to Grammar" advanced usage-based models, illustrating how repeated exposure to formulaic patterns entrenches them in cognitive representations, influencing grammaticalization and language change.^[16] Post-2010 research has further integrated formulaic language into cognitive frameworks, with studies evaluating its role in fluency and acquisition, such as Wray's 2012 review highlighting persistent debates on storage versus composition.^[17] The focus of formulaic language research has evolved from literary and oral traditions to psycholinguistic and applied domains, including second language learning and computational modeling. Recent post-2020 studies have examined formulaic patterns in AI-generated text, revealing that large language models produce more repetitive and impersonal chunks compared to human output, prompting new inquiries into authenticity and creativity in digital communication.^[18] This interdisciplinary expansion underscores formulaic language's centrality in understanding both human cognition and artificial systems.

Linguistic Characteristics

Phonological and Morphological Features

Formulaic sequences exhibit distinctive phonological cohesion, characterized by fixed prosodic patterns that deviate from the variability seen in non-formulaic speech. These sequences often form single intonation units with unbroken contours, aligning with prosodic boundaries on at least one side, which contributes to their rhythmic fluency and resistance to internal pauses or dysfluencies. For instance, the idiom "piece of cake" displays a consistent stress pattern emphasizing the final word (/piːs əv keɪk/), where the primary stress falls on "cake," facilitating smooth articulation and memorability in spoken English.^[19] Such fixed prosody and rhythm are evident in corpus analyses of spoken data, where formulaic sequences like lexical bundles maintain steady tempo across utterances, unlike novel phrases that show greater prosodic disruption.^[19] Alliteration and rhyme further enhance the phonological unity of formulaic sequences, particularly in idioms, by creating sound-based cohesion that aids retention and processing. Approximately 20% of English idioms incorporate alliteration or rhyme, such as "safe and sound" (alliteration on /s/) or "hit the hay" (rhyme on /eɪ/), which reinforce the sequence's integrity through phonetic repetition. These features promote phonological priming, where the initial sounds facilitate faster activation of the entire unit, as demonstrated in psycholinguistic studies of spoken corpora showing reduced reaction times for rhyming or alliterative idioms compared to non-patterned equivalents.^[20] In this way, such sound patterns contribute to the holistic storage and retrieval of formulaic expressions, influencing their fixed word order in syntactic contexts.^[20] Morphologically, formulaic sequences demonstrate high fixedness, with limited variability in affixation and a preference for non-productive or invariant forms that resist decomposition. Expressions like "by and large" exhibit reduced morphological flexibility, where affixes are rarely applied despite the potential for adverbial modification, preserving the unit's integrity as a whole. Compounding is prevalent in formulaic binomials, such as "salt and pepper," where the paired elements form semantically opaque yet morphologically stable units, often defying standard rules of productivity seen in non-formulaic compounds. This fixedness is a hallmark of multi-word expressions across languages, ensuring their treatment as lexical units rather than analyzable parts.^[21] Cross-linguistically, phonological and morphological features of formulaic sequences adapt to typological differences, as seen in English phrasal verbs versus agglutinative structures in Turkish. In English, phrasal verbs like "pick up" maintain fixed phonological cohesion through invariant particle placement and stress shifts (e.g., verb-particle stress alternation), supported by corpus evidence of co-occurring phonetic patterns that prime recognition. In contrast, Turkish agglutinative morphology embeds formulaicity within single-word complexes, such as frequent suffix bundles (e.g., -DIr-LAr for iterative plurals), where phonological priming occurs via morpheme co-occurrence frequencies exceeding those in analytic languages like English. Corpus studies of Turkish academic texts reveal fewer multi-word sequences but higher morphological formulaicity, with inflectional patterns showing 18 high-frequency four-word units per million words, compared to 140 in English equivalents.^[22]^[22] A key acoustic distinction is that formulaic sequences resist phonological reduction less than novel phrases, undergoing greater phonetic compression due to their high frequency, which enhances fluency and memorability. High-frequency idioms like "I don't know" exhibit faster reduction rates in vowel duration and consonant lenition, as quantified in acoustic analyses of spoken corpora. Recent acoustic studies, including those from 2023 meta-analyses of processing data, confirm this pattern persists across languages, attributing it to entrenched storage that prioritizes efficiency over full articulation.^[19]^[23]

Syntactic and Semantic Properties

Formulaic language exhibits syntactic rigidity, characterized by fixed word order and limited possibilities for modification or insertion of elements, which distinguishes it from more flexible novel constructions. For instance, the idiom "break a leg" resists alterations such as "break your leg" or insertions like "break a really big leg," maintaining its holistic structure to preserve conventional usage.^[24] This rigidity extends to collocations, where specific subcategorization frames dictate verb-noun or adjective-noun pairings, such as "make a decision" rather than "do a decision," enforcing predictable syntactic patterns.^[25] Semantically, formulaic language often displays non-compositionality, where the overall meaning diverges from the sum of its literal parts, leading to idiomatic interpretations that cannot be predicted from individual words. The expression "spill the beans," for example, conveys revealing a secret rather than a literal act of pouring beans, highlighting this opaque semantic structure.^[24] Additionally, formulaic sequences frequently involve polysemy, where the same words carry distinct meanings in formulaic versus literal contexts; "take a break" idiomatically means to pause, but literally implies removing a pause.^[26] Pragmatic embedding in formulaic language incorporates implicatures that rely on contextual inference, particularly in routines like politeness formulas, which soften requests or assertions through conventionalized indirectness. The phrase "if you don't mind," as in "Could you pass the salt, if you don't mind?", implies deference without explicit demand, functioning as a pragmatic softener in social interactions.^[27] Corpus analyses from the British National Corpus (BNC) and Corpus of Contemporary American English (COCA) reveal such formulas' prevalence in spoken discourse.^[28] Recent electrophysiological studies using event-related potentials (ERPs) have investigated semantic priming in formulaic language, showing larger N400 negativities for collocations compared to non-collocational phrases in the 300-500 ms window, indicating distinct semantic integration processes. A 2022 ERP study on linguistic collocations in speech found that formulaic sequences elicit these effects, underscoring their holistic semantic representation.^[29]

Discourse and Usage Patterns

Frequency and Distribution in Speech

Formulaic sequences constitute a substantial portion of natural speech, with corpus-based analyses indicating that they account for approximately 59% of tokens in spoken discourse. This high token frequency underscores their role as a default mode of expression in everyday language use, as evidenced by manual identification in corpora of English speech. Corpus evidence from the British National Corpus (BNC) further supports this prevalence, where formulaic sequences cover up to 58% of spoken text in conversational subcorpora.^[30]^[31] Distribution patterns reveal a marked preference for formulaic language in interactive genres over monologic ones. In the BNC Baby subset, spoken conversations exhibit the highest coverage at 68.81%, compared to 35.60% in fiction (a proxy for narrative discourse), 32.44% in academic prose, and 24.46% in newspapers. This disparity highlights the facilitative role of formulaic sequences in real-time, turn-based interaction, where they outnumber those in planned, narrative forms by a factor of nearly two. Formulaic elements also vary by initiation type: addressor-initiated sequences, such as greetings like "nice to meet you," dominate openings of discourse, while addressee-directed ones, including polite questions like "how can I help you," cluster in responsive turns to foster engagement.^[31]^[8] Domain-specific variations further illustrate uneven distribution, with informal speech showing dominance over formal registers. In casual conversation, formulaic sequences exceed 60% token coverage, whereas in genres like legal discourse, they form rigid, specialized patterns such as "in accordance with the terms" to ensure precision and ritualistic authority. Diachronic analyses from historical corpora, including the Swiss Text Corpus spanning 1900–2000, demonstrate shifts in frequency, with formulaic token changes accelerating post-1960 (up to 5.3% per decade) due to sociocultural influences on conversational norms. Recent multilingual corpus studies, such as those on Europarl parliamentary translations, reveal cultural variations in formulaic density across languages, reflecting differing conventions in political rhetoric.^[31]^[32]^[33]^[34]

Processing and Efficiency Aspects

Formulaic language reduces cognitive load during speech production by enabling holistic retrieval of prefabricated units, thereby bypassing much of the incremental planning required for novel constructions. This aligns with adaptations of Levelt's (1989) model of speech production, where conceptualization and formulation stages demand fewer resources when formulaic sequences are accessed as single lexical items rather than assembled piecemeal.^[35] Such retrieval minimizes demands on working memory, allowing speakers to allocate attention to higher-level aspects of discourse.^[36] A dual-process theory further elucidates this efficiency, positing that formulaic language relies primarily on declarative memory for storage and rapid access, in contrast to novel language, which engages procedural memory for rule-based generation. This distinction, supported by Ullman's declarative/procedural model, explains why formulaic expressions are processed with lower effort, as they draw on automated, chunked representations rather than effortful computation.^[37] In terms of speech rate acceleration, formulaic sequences are articulated more rapidly than equivalent non-formulaic phrases, often due to phonetic reduction within chunks that streamlines motor execution. Experimental evidence from oral production tasks indicates that this results in noticeably quicker delivery, enhancing overall temporal fluency without compromising clarity.^[38]^[39] Formulaic language also contributes to efficiency in fluency by mitigating disfluencies such as pauses and repairs, as prefabricated units facilitate smoother transitions in utterance planning. In picture-naming tasks, priming effects from repeated exposure to formulaic elements have demonstrated accelerated lexical access and reduced hesitation, underscoring their role in stabilizing production under time pressure.^[38]^[40] Recent post-2020 dual-task studies have confirmed these load reductions specifically in bilingual contexts, where formulaic sequences in the L2 help maintain performance during concurrent cognitive demands, such as in interpreting scenarios with high informational load.^[41] High-frequency formulaic patterns further amplify this efficiency by strengthening associative links that speed retrieval.^[42]

Communicative Functions

Role in Comprehension

Formulaic language enhances comprehension by leveraging its high predictability, which allows listeners to anticipate upcoming elements and reduce cognitive load during parsing. Due to their frequent exposure and holistic storage in memory, formulaic sequences such as idioms are processed more rapidly than novel phrases, enabling faster integration into the ongoing discourse without exhaustive syntactic analysis.^[30] For instance, idioms like "kick the bucket" avoid garden-path ambiguities that might arise in literal interpretations, as familiarity triggers immediate recognition of the non-compositional meaning, bypassing temporary misparsing.^[43] This predictability also facilitates comprehension by providing reliable cues for discourse structure and speaker intentions, thereby streamlining listener understanding. Discourse markers, a subset of formulaic expressions, explicitly signal transitions like contrast or elaboration; for example, "on the other hand" reliably indicates an opposing viewpoint, helping listeners reorganize mental models without ambiguity.^[44] Experimental evidence from listening comprehension tasks supports this, showing that the presence of such markers in lectures improves recall and overall understanding compared to unmarked versions, as they reduce inferential demands and enhance coherence perception.^[44] Recent eye-tracking studies further demonstrate this predictive processing advantage, with native speakers exhibiting shorter fixation durations on formulaic sequences during reading, reflecting anticipatory eye movements driven by their conventionality.^[45] Formulaic language also plays a key role in cross-cultural comprehension, particularly through universal routines that lower barriers in intercultural interactions. Greetings like "how are you?" function as shared formulaic anchors that signal politeness and initiate exchanges predictably, easing mutual understanding even across linguistic divides.^[46] For second language (L2) learners, mastery of such routines enhances pragmatic comprehension, as evidenced by studies showing that exposure to formulaic sequences improves recognition of speaker intentions in diverse cultural contexts.^[47]

Role in Production and Interaction

Formulaic language plays a crucial role in facilitating social lubrication during interactions by providing speakers with prefabricated routines that build rapport and ease entry into conversations. Small talk formulas, such as greetings like "How are you?" or casual inquiries about weather and shared experiences, serve as low-risk entry points that signal friendliness and mutual interest, thereby reducing social awkwardness and fostering connection.^[48] These routines are particularly evident in language socialization contexts, where caregivers model polite phrases to children, helping them display respect and affective stance in relational hierarchies.^[48] Such formulaic expressions integrate with politeness theory by redressing face-threatening acts through positive politeness strategies, which emphasize shared wants and solidarity between speakers, as outlined in Brown and Levinson's framework.^[49] In achieving communicative goals, formulaic language supports persuasion and negotiation by offering efficient, conventionalized ways to influence others and manage discourse flow. Similarly, turn-taking signals such as "uh-huh" for continuers or "so" to transition topics function as discourse management tools, ensuring smooth exchanges and cooperative participation without disrupting the interactional rhythm.^[50] These elements highlight how formulaic sequences enable speakers to attain objectives like agreement or clarification while maintaining relational harmony. Interactional dynamics are further shaped by formulaic language through asymmetries between addressors and addressees, where speaker-initiated formulas often assert control while responsive ones yield or align. In conversation analysis, Sacks, Schegloff, and Jefferson describe how turn-taking organization relies on such sequences, with initiators using summons like "hey" to claim the floor and recipients responding with tailored acknowledgments that negotiate power and involvement. For example, greetings in openings are recipient-designed, varying in prosody or elaboration based on relational status, thereby reconstituting social bonds without overt negotiation.^[51]

Cognitive and Neurological Basis

Cognitive Mechanisms

Formulaic language is theorized to be stored in long-term memory as holistic lexical chunks rather than decomposed elements, facilitating efficient access during use. This perspective is encapsulated in John Sinclair's Idiom Principle, which argues that language production predominantly relies on prefabricated multi-word expressions stored as single units, with compositional choices occurring only when necessary. Complementing this, usage-based theories posit that such chunks emerge through repeated exposure and frequency-driven learning, where high-frequency sequences become entrenched in memory via associative processes. For instance, common phrases like "by the way" are acquired and retained as intact units, reducing cognitive demands compared to rule-based assembly. Retrieval of formulaic language involves direct holistic access from memory, contrasting with the stepwise compositional assembly required for novel utterances. This dual-route model suggests that familiar chunks bypass analytical processing, allowing faster activation and integration into discourse. Empirical evidence from eye-tracking studies supports this, showing reduced fixation times on words within formulaic sequences, indicative of pre-assembled retrieval. The chunk-and-pass parsing mechanism further explains this efficiency, wherein language processors recognize and "pass" multi-word chunks as wholes before applying finer-grained analysis to non-formulaic elements, thereby optimizing real-time comprehension and production. These processes contribute to overall processing efficiency by minimizing working memory load during language use. In language acquisition, formulaic sequences play a pivotal role, particularly in early child development where prefabricated patterns form the foundation of speech. Young children initially produce utterances as memorized routines, such as "what's that?" or "all gone," which serve as scaffolds for emerging grammar without full rule abstraction.^[52] Differences between first (L1) and second (L2) language acquisition are notable: L1 learners naturally integrate formulaic chunks into productive grammar through immersive exposure, whereas L2 learners often rely more heavily on explicit formulas for fluency but exhibit delays in decomposing and generalizing them due to interference from prior linguistic knowledge.^[53] Recent cognitive modeling using neural networks simulates this chunking process, demonstrating how recurrent architectures can learn to represent formulaic sequences as compressed units, mirroring human storage and retrieval patterns observed in L2 contexts.^[54]

Neurological Evidence from Brain Imaging

Neuroimaging studies have identified distinct brain regions involved in the processing of formulaic language, contrasting with those engaged in novel speech production and comprehension. Functional magnetic resonance imaging (fMRI) research highlights the basal ganglia and right hemisphere as key areas for formulaic expressions, such as idioms and conversational formulas, while left perisylvian regions, including the inferior frontal gyrus and superior temporal gyrus, show greater involvement in novel, propositional language. For instance, a 2012 review of lesion and imaging data emphasized right hemisphere dominance for automatic formulaic output, with subcortical structures like the basal ganglia supporting holistic retrieval of fixed expressions, whereas left-hemisphere networks handle compositional syntax.^[55]^[56] fMRI and positron emission tomography (PET) techniques reveal reduced cortical activation during formulaic language tasks compared to non-formulaic ones, indicating more efficient, automated processing. In a performance-based PET analysis of spontaneous monologues, higher proportions of formulaic expressions correlated with decreased blood flow in the left caudate nucleus (a basal ganglia component) and increased flow in the right inferior frontal region, suggesting subcortical disengagement for rote sequences. Similarly, fMRI studies of overlearned sentences—functionally akin to formulaic chunks—demonstrated reduced activation in left-hemisphere language areas like the inferior frontal gyrus post-training, with shifts toward sensorimotor cortices for rapid retrieval. Electroencephalography (EEG) and event-related potentials (ERPs) further elucidate timing differences, showing faster N400 responses (around 300-500 ms post-stimulus) for formulaic sequences, reflecting holistic recognition rather than piecemeal integration seen in novel phrases.^[37]^[57]^[30] Comparative neuroimaging patterns underscore these distinctions, with formulaic language eliciting bilateral or right-lateralized activation in healthy adults, while non-formulaic speech relies predominantly on left-hemisphere perisylvian circuits. In bilingual individuals, adaptations include overlapping activation in left inferior frontal regions for formulaic processing across languages, modulated by proficiency. Recent post-2020 fMRI work on sentence overlearning provides updates on real-time dynamics, revealing earlier sensorimotor involvement (within 200 ms of stimulus onset) for formulaic-like retrieval, supporting a shift from effortful linguistic computation to procedural memory access.^[57]

Clinical and Developmental Cases

In individuals with Broca's aphasia, formulaic language is often preserved despite significant syntactic and propositional speech deficits, allowing for fluent production of overlearned expressions such as idioms and social formulas.^[58] For instance, patients may produce intact idiomatic phrases like "kick the bucket" while struggling with novel sentence construction, contrasting with jargon-heavy output in fluent aphasias where neologisms dominate but formulaic elements remain relatively spared.^[59] This dissociation highlights formulaic language's reliance on subcortical and right-hemisphere networks rather than left-hemisphere perisylvian regions typically impaired in Broca's aphasia.^[60] In apraxia of speech, overlearned formulaic sequences exhibit relative sparing compared to novel utterances, with higher articulatory accuracy for familiar phrases due to holistic motor programming.^[61] This preservation enables better word-onset production when cued by formulaic elements, such as initiating "good morning" to facilitate target words, suggesting therapeutic potential in leveraging these sequences to bypass planning deficits.^[61] Basal ganglia lesions, as seen in related conditions like Parkinson's disease, further underscore this by impairing formulaic output while comprehension remains intact.^[62] Developmental disorders often feature enhanced reliance on formulaic language for communication, particularly in autism spectrum disorder where echolalia serves as a functional strategy.^[63] In autistic children, delayed echolalia—repeating socio-communicative formulas like "happy birthday" to describe a cake—accounts for a significant portion of speech (up to 63% from formulaic sources), aiding naming, description, and interaction management despite challenges in novel expression.^[63]

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Cortical-subcortical production of formulaic language: A review of ...
Formulaic language plays an important role in normal verbal communication (Alexander, 1978, Fillmore, 1979, Kuiper, 2004, Kuiper, 2009, Munro, 1989, Pawley and ...
[38]
Unpacking the Relationship Between Formulaic Sequences and ...
Dec 6, 2019 · Formulaic sequences are articulated faster than nonformulaic sequences as words within a formulaic sequence tend to be phonetically reduced due ...
[39]
Can explicit instruction of formulaic sequences enhance L2 oral ...
Research investigating L2 utterance fluency proposed that fluent performance is characterized by faster articulation rate and minimum amount of silent and ...
[40]
[PDF] Formulaic Sequences and Their Relationship with Speaking ... - ERIC
Feb 1, 2012 · Abstract. This paper aims to investigate the relationship between the use of formulaic sequences (FSs), speaking ability and speech fluency.
[41]
Chunking in simultaneous interpreting: the impact of task complexity ...
Aug 30, 2023 · Evidence from eye-tracking indicated interpreters experienced less cognitive loads when they implemented chunking. Given the cognitive advantage ...<|separator|>
[42]
What contributes to fluent L2 speech? Examining cognitive and ...
May 13, 2024 · Second language (L2) fluency research has suggested that a range of linguistic knowledge and processing speed serve as cognitive fluency (CF) underlying L2 ...
[43]
(PDF) Formulaic Sequences: Are They Processed More Quickly than ...
Aug 7, 2025 · ... formulaic language. once every ﬁve words. She included one-word ... garden-path. confusion when they discovered that the idiomatic ...
[44]
Formulaic Language and Second Language Acquisition: Zipf and ...
Dec 5, 2012 · Formulaic Language and Second Language Acquisition: Zipf ... Parsing time reflects the more frequent uses of a word (e.g., the garden-path ...
[45]
The Effect of Discourse Markers on Second Language Lecture ...
Nov 7, 2008 · This paper measures the effect of the presence or absence of discourse markers such as so, right, well, OK, and now on second language lecture comprehension.
[46]
https://archive.carla.umn.edu/speechacts/greetings/tt.html
[47]
Greetings: Teaching Tips
Cultural Differences in Interactional Norms of Greeting. The different patterns and norms of interaction in a language are governed by cultural and social ...
[48]
Cognitive Linguistic approaches to teaching vocabulary
Nov 11, 2011 · The pace at which new L2 words or expressions are acquired is influenced by the degree of engagement with them on the part of the learner.
[49]
http://archiv.ub.uni-heidelberg.de/volltextserver/11839/1/K_Schlund_Form_and_function_of_politeness_formulae.pdf
[50]
[PDF] K Schlund_Form and function of politeness formulae
There is such a thing as politeness formulae, i.e., recurring linguistic elements that are stereotypically associated with the communication of polite meanings.<|control11|><|separator|>
[51]
[PDF] The Language of Persuasion, Negotiation and Trust - SemDial
This study explores whether aspects of social interaction (persua- sion and negotiation) can be predicted purely from linguistic, politeness and collaborative.
[52]
[PDF] TURN-TAKING AND GAMBITS IN - ECML
Furthermore, the use formulaic language signals that the speaker is a cooperative member of the conversational group (cf. Coulmas 1981:12). Non-native ...
[53]
https://www.cambridge.org/core/journals/annual-review-of-applied-linguistics/article/formulaic-language-and-second-language-acquisition-zipf-and-the-phrasal-teddy-bear/3E6EC1794D18E72D370FF2F6CDAF6177
[54]
TDL-ICOP report - The International Society for Conversation Analysis
Feb 4, 2025 · She presented three case studies: the development of formulaic language ... interactions,Paweł Urbanik,2024 http://dlvr.it/TD3cbt · Reply on ...
[55]
Formulaic Language in L1 Acquisition | Annual Review of Applied ...
Dec 5, 2012 · According to this perspective, which is often known as the usage-based theory of language development, acquisition begins when children identify ...
[56]
[PDF] Chunking in the Second Language: Implications for ... - ERIC
Wang, S. Y., & Christiansen, M. H. (2024). Chunking in the second language: Implications for language learning and teaching. Language Teaching Research ...
[57]
Formulaic Language and Language Disorders | Annual Review of ...
Dec 5, 2012 · Two track mind: Formulaic and novel language support a dual process model. In Faust, M. (Ed.), Advances in the neural substrates of language ...
[58]
Two-track mind: Formulaic and novel language support a dual ...
Van Lancker Sidtis, D. (2012). Two-track mind: Formulaic and novel language ... Disruption of automatic speech following a right basal ganglia lesion.
[59]
Reorganization of the Neurobiology of Language After Sentence ...
Sep 29, 2021 · Neuroimaging studies using multiword or sentence stimuli typically average over word sequences that are more or less formulaic. “Formulaic expressions” are ...
[60]
https://doi.org/10.1080/02699200802673242
[61]
https://doi.org/10.1371/journal.pone.0233608
[62]
Effects of neurological damage on production of formulaic language
In this study, we undertook to examine the spontaneous speech of individuals with documented single-episode brain lesions occurring in the left hemisphere, ...
[63]
https://doi.org/10.3389/fpsyg.2023.1010615
[64]
https://doi.org/10.1371/journal.pone.0233608
[65]
https://doi.org/10.1044/2015_JSLHR-L-14-0341
[66]
https://doi.org/10.3389/fpsyg.2023.1010615