modalitiestext
Modalitiestext is a term used in multimodal computing to denote the textual modality within a system that also processes other data types, such as images, audio, or sensor signals. It encompasses the textual representations, encodings, and processing pipelines that convert natural language into machine-readable form and enable alignment with non-textual data for joint reasoning.
Text data are typically tokenized and encoded by a text encoder, often based on transformer architectures.
Modalitiestext is central to applications such as multimodal captioning, visual question answering, image–text retrieval, and multimedia
Challenges include representing context, handling polysemy and multilingual data, biases in datasets, evaluating cross-modal alignment, and
See also: Multimodal learning, Text embedding, Cross-modal retrieval, Multimodal datasets.