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A transition or linking word is a word or phrase that shows the relationship between paragraphs or sections of a text or speech. [1] Transitions provide greater cohesion by making it more explicit or signaling how ideas relate to one another. [1] Transitions are, in fact, "bridges" that "carry a reader from section to section". [1]
In reality, words often have a different range of meanings, and so the student must learn the complexity or nuance of the new words. For this reason, such techniques may be seen as a useful and powerful way to progress in the language, especially in the early stages, rather than giving a complete understanding.
Repetition uses the same word, or synonyms, antonyms, etc. For example, "Which dress are you going to wear?" – "I will wear my green frock," uses the synonyms "dress" and "frock" for lexical cohesion. Collocation uses related words that typically go together or tend to repeat the same meaning. An example is the phrase "once upon a time".
In linguistics, connected speech or connected discourse is a continuous sequence of sounds forming utterances or conversations in spoken language.Analysis of connected speech shows sound changes affecting linguistic units traditionally described as phrases, words, lexemes, morphemes, syllables, phonemes or phones. [1]
A discourse marker is a word or a phrase that plays a role in managing the flow and structure of discourse.Since their main function is at the level of discourse (sequences of utterances) rather than at the level of utterances or sentences, discourse markers are relatively syntax-independent and usually do not change the truth conditional meaning of the sentence. [1]
Link grammar (LG) is a theory of syntax by Davy Temperley and Daniel Sleator which builds relations between pairs of words, rather than constructing constituents in a phrase structure hierarchy. Link grammar is similar to dependency grammar , but dependency grammar includes a head-dependent relationship, whereas link grammar makes the head ...
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A common use of WordNet is to determine the similarity between words. Various algorithms have been proposed, including measuring the distance among words and synsets in WordNet's graph structure, such as by counting the number of edges among synsets. The intuition is that the closer two words or synsets are, the closer their meaning.