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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation.

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This article highlights the importance of advanced language generation, focusing on multitasking, multilinguality, and multimodality. It explores the Multi3Generation COST Action

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Language TechnologiesMulti-taskMulti3GenerationMultilingualityMultimodalityNatural Language Generation

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Area of Science:

  • Natural Language Processing
  • Artificial Intelligence
  • Computational Linguistics

Background:

  • The field of language generation is rapidly evolving.
  • The Multi3Generation COST Action (CA18231) addresses key challenges in this domain.

Discussion:

  • Focus on three pivotal aspects: Multitasking, Multilinguality, and Multimodality.
  • Exploration of current research trends and activities within the COST Action.

Key Insights:

  • Multitasking enables models to handle diverse language tasks simultaneously.
  • Multilinguality enhances cross-lingual understanding and generation.
  • Multimodality integrates various data types (text, image, audio) for richer language understanding and generation.

Outlook:

  • Future perspectives in sophisticated language generation.
  • Potential for more versatile and context-aware AI systems.
  • Advancements in human-AI interaction through improved language generation.