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  2. Text world theory - Wikipedia

    en.wikipedia.org/wiki/Text_world_theory

    Text world theory and schema theory seek to help people understand how we process language and create mental representations when we read or listen to something. [1] This theory figuratively describes a piece of language (such as a text, a speech or conversation) as a "world" that the reader, hearer or interlocutor must "build" in their mind. [2]

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).

  4. Content word - Wikipedia

    en.wikipedia.org/wiki/Content_word

    Content words, in linguistics, are words that possess semantic content and contribute to the meaning of the sentence in which they occur. In a traditional approach, nouns were said to name objects and other entities, lexical verbs to indicate actions, adjectives to refer to attributes of entities, and adverbs to attributes of actions.

  5. Glossary of rhetorical terms - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_rhetorical_terms

    Tmesis – separating the parts of a compound word by a different word (or words) to create emphasis or other similar effects. Topos – a line or specific type of argument. Toulmin model – a method of diagramming arguments created by Stephen Toulmin that identifies such components as backing, claim, data, qualifier, rebuttal, and warrant.

  6. Semantic similarity - Wikipedia

    en.wikipedia.org/wiki/Semantic_similarity

    Based on text analyses, semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus. The evaluation of the proposed semantic similarity / relatedness measures are evaluated through two main ways.

  7. Text, Speech and Dialogue - Wikipedia

    en.wikipedia.org/wiki/Text,_Speech_and_Dialogue

    Text, Speech and Dialogue (TSD) is an annual conference involving topics on natural language processing and computational linguistics. The meeting is held every September alternating in Brno and Plzeƈ , Czech Republic.

  8. Multimodality - Wikipedia

    en.wikipedia.org/wiki/Multimodality

    Standard words and pictures can be presented as moving images and speech in order to enhance the meaning of words. Joddy Murray wrote in "Composing Multimodality" that both discursive rhetoric and non-discursive rhetoric should be examined in order to see the modes and media used to create such composition.

  9. Figure of speech - Wikipedia

    en.wikipedia.org/wiki/Figure_of_speech

    Tropes (from Greek trepein, 'to turn') change the general meaning of words. An example of a trope is irony, which is the use of words to convey the opposite of their usual meaning ("For Brutus is an honorable man; / So are they all, all honorable men"). During the Renaissance, scholars meticulously enumerated and classified figures of speech.