Integrating cognitive linguistic and multimodal methods

Considering the Nature of Multimodal Language from a ...

Current commentary evaluates such a proposal by Murgiano et al (2021) from a crosslinguistic perspective taking variation as well as systematicity in multimodal ...

Multimodal digital storytelling: Integrating information, emotion and ...

Multimodal digital storytelling: Integrating information, emotion and social cognition · Author(s): Isabel Alonso, Silvia Molina and Maria ...

GoTriple - The multimodal representation of emotion in film

The aim is to develop a multimodal (i.e. multisemiotic) approach to the mathematics register, where language is considered as one resource, often a secondary ...

Understanding Abstract Concepts across Modes in Multimodal ...

... multimodal discourse. The volume integrates a range of approaches from cognitive linguistics, including image schema theory, conceptual theory of metaphor ...

Cognitive Linguistics: Analysis of Mapping Knowledge Domains

The Visual Basis of Linguistic Meaning and Its Implications for Critical Discourse Studies: Integrating Cognitive Linguistic and Multimodal Methods.

the Fusion of Vision and Language in Multimodal Learning for ...

Keywords: Multimodal Learning, Vision and Language Integration, Cognitive Processing,. Knowledge Representation, Interdisciplinary Approach.

AI, Cognition and Multimodal Communication – Prof. Dr. Mark Turner

... methods, techniques and assumptions of linguistic analysis that can be applied not only to the various sub-areas of the Language Sciences ...

Emergent Multilingual Learners Use of Multimodal Discursive ...

Ma (2020) stated that “cognitive and linguistic development, as an ... The impact of an integrated approach to science and literacy in elementary school ...

Multimodal Language Department | Max Planck Institute

The general aim therefore is to unravel the cognitive and social foundations of the human ability for language, by considering its multimodal and ...

Appearing in: Methods in Cognitive Linguistics - acsu.buffalo.edu

Not only is meaning the aspect of language that linguistic introspec- tion is best at, but, in addition, introspection has the advantage over other method-.

Multimodal learning - (Intro to Cognitive Science) - Fiveable

Multimodal learning refers to an educational approach that utilizes multiple modes or methods of instruction to enhance the learning experience.

Multimodality - Wikipedia

Multimodality describes communication practices in terms of the textual, aural, linguistic, spatial, and visual resources used to compose messages. Example of ...

Using an arts-integrated multimodal approach to promote English ...

Its application in language learning classes is also increasing in number. Since Chinese-speaking EFL learners are likely to be visual learners, as an ...

35 Multimodal Learning Strategies and Examples - Prodigy

Communication aids, such as PECS, are another useful form of multimodal text that let students practice different methods of communication.

New methods for studying visual communication and multimodal ...

Cognitive linguistics uses multimodal texts to study the diverse manifestations of con- ceptual metaphors in pictures, sound and gestures to see how metaphors ...

Multimodal Language Processing in Human Communication

basis: low-level multisensory integration and higher-level gestalt recognition. Multimodal Low-Level Integration as a General Cognitive Principle. The brain's ...

Extending the Architecture of Language From a Multimodal ...

Language is inherently multimodal. In spoken languages, combined spoken and visual signals (eg, co-speech gestures) are an integral part of linguistic ...

Integrating Gestures: The Dimension of Multimodality in Cognitive ...

Analyses of speech-replacing gestures and a range of related phenomena compel us to consider gestures as well as spoken and signed language as ...

Vision-Language Integration in Multimodal Video Transformers...

... language in partially brain-relevant ways but also show that improving the brain alignment of these models may require new approaches.

Human-like object concept representations emerge naturally in ...

Integration of Visual and Linguistic Information: The research highlights the advantages of integrating visual and linguistic information in MLLMs, which ...