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関連する概念動画

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

358
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Language and Cognition01:27

Language and Cognition

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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 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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Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Components of Language01:24

Components of Language

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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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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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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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自然言語処理の進歩

Julia Hirschberg1, Christopher D Manning2

  • 1Department of Computer Science, Columbia University, New York, NY 10027, USA. julia@cs.columbia.edu.

Science (New York, N.Y.)
|July 18, 2015
PubMed
まとめ
この要約は機械生成です。

自然言語処理 (NLP) はコンピューターを使って 人間の言語を理解し 生成します 現代のNLPの応用は 翻訳や音声認識から ソーシャルメディアの分析や 感情の検出まであります

さらに関連する動画

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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関連する実験動画

Last Updated: Apr 6, 2026

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科学分野:

  • コンピュータ科学
  • 人工知能
  • コンピュータ言語学

背景:

  • 自然言語処理 (NLP) は,言語の理解と生成のための計算方法を含みます.
  • 初期のNLPは 言語分析や機械翻訳のような 基礎技術に焦点を当てていました
  • 現在の研究では NLP ツールを実用的な応用に活用しています

研究 の 目的:

  • 自然言語処理の進歩と継続的な課題をレビューする.
  • 基本的な分析から高度な応用への NLP の進化を強調する.

主な方法:

  • 人間の言語に適用される計算技術のレビュー.
  • NLP技術の歴史的発展と現在の状態の分析.

主要な成果:

  • 音声認識,機械翻訳,音声合成の分野で 顕著な進展がありました
  • NLPは現在 話し言葉の対話システムや 翻訳エンジンや ソーシャルメディアの 分析に広く使用されています
  • 医療や金融の情報採掘や 感情分析などです

結論:

  • NLPは様々な分野でかなりの成功を収めている.
  • NLPの能力と応用をさらに発展させるには 課題が残っています