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Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Components of Language01:24

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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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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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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Clasificación semántica mejorada de orígenes de muestras de microbioma utilizando modelos de lenguaje grandes (LLM)

Daniela Gaio1, Janko Tackmann1, Eugenio Perez-Molphe-Montoya1

  • 1Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zürich, Zürich, CH-8057, Switzerland.

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|February 12, 2026
PubMed
Resumen

Los modelos de lenguaje grandes (LLM) pueden automatizar de manera rentable la reanotación de datos de secuenciación ambiental, mejorando su FAIRness y preparación para la IA. Los LLM de peso abierto muestran una precisión comparable a los modelos propietarios para la reanotación de metadatos ecológicos.

Palabras clave:
modelos de lenguaje grandesLLMmetadatos de secuenciaciónreanotaciónFAIRnesspreparación para la IAmodelos de peso abiertomodelos propietariosclasificación ecológicarepositorios de secuencias

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Sus antecedentes:

  • Los repositorios centrales de secuencias han crecido sustancialmente, pero la calidad heterogénea de los metadatos dificulta la reutilización de los datos.
  • Los datos de secuenciación bien anotados son cruciales para estudios posteriores, especialmente en la investigación del microbioma.
  • Mejorar la FAIRness de los datos (Localizabilidad, Accesibilidad, Interoperabilidad, Reutilización) y la preparación para la IA es esencial para metadatos biológicos complejos.

Conclusiones:

  • Los LLM ofrecen una solución rentable para automatizar la estandarización y simplificación de metadatos biológicos complejos de registros de secuenciación ambiental.
  • El estudio valida el uso de LLM para mejorar la FAIRness y la preparación para la IA de conjuntos de datos de secuenciación a gran escala.
  • Los LLM de peso abierto presentan una alternativa viable y precisa para la reanotación de metadatos ecológicos, promoviendo una mayor accesibilidad y aplicación.