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  2. Viseme - Wikipedia

    en.wikipedia.org/wiki/Viseme

    A viseme is any of several speech sounds that look the same, for example when lip reading (Fisher 1968).. Visemes and phonemes do not share a one-to-one correspondence. Often several phonemes correspond to a single viseme, as several phonemes look the same on the face when produced, such as /k, ɡ, ŋ/; as well as /t, d, n, l/, and /p, b, m/).

  3. 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.

  4. Thesaurus (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Thesaurus_(information...

    A thesaurus is composed by at least three elements: 1-a list of words (or terms), 2-the relationship amongst the words (or terms), indicated by their hierarchical relative position (e.g. parent/broader term; child/narrower term, synonym, etc.), 3-a set of rules on how to use the thesaurus.

  5. 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).

  6. Cohesion (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Cohesion_(linguistics)

    Cohesion is the grammatical and lexical linking within a text or sentence that holds a text together and gives it meaning. It is related to the broader concept of coherence. There are two main types of cohesion: grammatical cohesion: based on structural content; lexical cohesion: based on lexical content and background knowledge.

  7. 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.

  8. Key Word in Context - Wikipedia

    en.wikipedia.org/wiki/Key_Word_in_Context

    It was a useful indexing method for technical manuals before computerized full text search became common. For example, a search query including all of the words in an example definition ("KWIC is an acronym for Key Word In Context, the most common format for concordance lines") and the Wikipedia slogan in English ("the free encyclopedia ...

  9. Wikipedia:Manual of Style/Words to watch - Wikipedia

    en.wikipedia.org/.../Words_to_watch

    Do not use similar or related words in a way that blurs meaning or is incorrect or distorting. For example, the adjective Arab refers to people and things of ethnic Arab origin. The term Arabic generally refers to the Arabic language or writing system, and related concepts. Arabian relates to the Arabian Peninsula or historical Arabia.