Band 34, Heft 3-4

In the present study, cross-modal (i.e., across sensory modalities such as smell and sound) iconicity (i.e., resemblance) and indexicality (i.e., contiguity) in lexical sensory and emotional signs in Finnish Sign Language will be considered from an articulatory perspective (i.e., the production of signs). Such cross-modal iconicity has not been extensively studied previously, so here, with the help of cognitive semiotics, I aim to carefully describe the cross-modal patterns observed across 118 signs, including 60 sensory signs and 58 emotional signs. The analysis is framed within the theoretical model of Semiotic Hierarchy, which entails a non-reductionist view of meaning. In addition, a pheno-methodological triangulation will be applied: phenomenology (first-person method), literature of phenomenological and semiotic descriptions (second-person perspective) and experimental findings (third-person perspective). The results of this analysis show that (a) 71 of the 118 sensory and emotional signs are cross-modally indexical, (b) only 10 of the 71 signs can be regarded as cross-modally iconic, (c) cross-modal iconicity is highly diagrammatic, (d) iconicity and indexicality are highly integrated, and (e) articulatory feedback matters in the formation of semiotic patterns. This study contributes to our understanding of cross-modal iconicity in signed languages, as well as studies in semiotic systems more generally.

More recently, grammaticalization theorists have become increasingly aware of the role of collocations in grammatical development. One of these roles is to define phonetic reductions and fusion in frequent collocations as constructionalization. Based on frequency of occurrences, the present study explores the implications of high-frequency collocations in Turkish Sign Language for grammaticalization and offers a novel account of constructional change of değİl ‘not’ on usage-based grounds. Specifically, the study suggests that (i) the chunking process is not language-specific within the spoken modality, as noted previously in the literature, (ii) the frequency of collocations is strongly correlated with phonetic reduction and duration, (iii) the fusional characteristics of [sign +  değİl ] collocations can be classified under four reduced constructional schemas, (iv) the monosyllabicity of a scheme appears to be criterion for it to be productive in signed modality and (v) the semantic changes of frequent [sign +  değİl ] collocations are related to the notion of subjectification in TİD.

Expression of physical motion (e.g., man runs by ) shows systematic variability not only between language types (i.e., inter-typological) but also within a language type (i.e., intra-typological). In this study, we asked whether the patterns of variability extend to metaphorical motion events (e.g., time runs by ). Our analysis of randomly selected 450 physical motion (150/language) and 450 metaphorical motion (150/language) event descriptions from written texts originally produced by German, Polish, and Spanish authors showed strong inter-typological differences in the expression of both event types. German and Polish speakers differed from Spanish speakers in how they packaged manner and path components of a motion event; they also differed in how extensively they expressed each component in their lexicalization of motion. The strong inter-typological differences were accompanied by more modest intra-typological variability: Polish and German writers differed in their packaging and lexicalization of manner and path components of metaphorical—but not physical—motion events. Our results provide evidence for robust inter-typological differences evident in the expression of both physical and metaphorical motion, along with less robust intra-typological differences, largely evident in the expression of metaphorical motion. Our study thus highlights event type as an important factor in determining crosslinguistic variation in motion expression.

The focus of much sensory language research has been on vocabulary and codability, not how language is used in communication of sensory perceptions. We make a case for discourse-oriented research about sensory language as an alternative to the prevailing vocabulary orientation. To consider the language of sound in authentic textual data, we presented participants with 20 everyday sounds of unknown sources and asked them to describe the sounds in as much detail as possible, as if describing them to someone who could not hear them. We explored how the participants use language to describe these sounds. Do they describe their listening experiences ( stressful ), sound properties ( intermittent beeping ), and/or the events that caused the sounds ( eating an apple )? The results show that out of these three soundscape elements, events are the most frequent and most indispensable element. We let the results from the study illustrate the need for more discursive data in studies of sensory language and argue that there is no designated language of sound. Our study highlights that in order to account for sensory language use, we need an analytical framework that accommodates discursive language in a non-trivial way beyond stable couplings between individual words and meanings.

While much earlier work has indicated that prior verb bias from lifelong language experience influences language processing, recent findings highlight the fact that verb biases induced during lab-based exposure sessions also influence processing. We investigated the nature of updating, i.e., how prior and current experience might interact in guiding subsequent sentence production. Participants underwent a short training session where we manipulated the bias of known English dative verbs. The prior bias of each verb for the double-object (DO) versus the prepositional-object (PO) dative was estimated using a corpus. Current verb bias was counterbalanced and controlled experimentally. Bayesian mixed-effects logistic models of participants’ responses (DO or PO) during subsequent free-choice production showed that both the prior and current verb biases affected speakers’ construction choice. These effects were additive and not interactive, contrary to the prediction from error-based learning models. Semantic similarity to other verbs and their experimentally manipulated biases influenced sentence production, consistent with item-based analogy and exemplar theory. These results shed light on the potential mechanisms underlying language updating and the adaptation of sentence production to ongoing experience.

This study examined L1 and L2 English speakers’ sensitivity to constructional meaning by investigating their categorization of Noun1 of Noun2 constructions (e.g., results of studies ) and argument structure constructions (e.g., Tom cut the bread ). Participants were 40 L1 English speakers and 44 intermediate proficiency Chinese-speaking learners of L2 English, who completed two online sorting experiments. In each experiment, participants were instructed to (i) sort the stimuli according to their overall meaning and (ii) provide explanations for their sorting decisions. Results showed that EFL users preferred construction-based sorting for the argument structure stimuli but not the Noun1 of Noun2 stimuli. However, L1 English speakers showed a preference toward word-based sorting for both construction types. Participants’ self-reported explanations for their sorts nonetheless indicated sensitivity to the constructional meanings of argument structure constructions and Noun1 of Noun2 constructions. Additionally, language users were found more likely to produce construction-based sorts with more time spent on the task.

This article correlates fine-grained semantic variability and change with measures of occurrence frequency to investigate whether a word’s degree of semantic change is sensitive to how often it is used. We show that this sensitivity can be detected within a short time span (i.e., 20 years), basing our analysis on a large corpus of German allowing for a high temporal resolution (i.e., per month). We measure semantic variability and change with the help of local semantic networks, combining elements of deep learning methodology and graph theory. Our micro-scale analysis complements previous macro-scale studies from the field of natural language processing, corroborating the finding that high token frequency has a negative effect on the degree of semantic change in a lexical item. We relate this relationship to the role of exemplars for establishing form–function pairings between words and their habitual usage contexts.