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The output of a word-sense induction algorithm is a clustering of contexts in which the target word occurs or a clustering of words related to the target word. Three main methods have been proposed in the literature: [1] [2] Context clustering; Word clustering; Co-occurrence graphs
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition , it is usually subconscious.
word-sense induction – the task of automatically acquiring the senses of a target word; word-sense disambiguation – the task of automatically associating a sense with a word in context; lexical substitution – the task of replacing a word in context with a lexical substitute; sememe – unit of meaning; linguistics – the scientific study ...
The most established is lex, paired with the yacc parser generator, or rather some of their many reimplementations, like flex (often paired with GNU Bison). These generators are a form of domain-specific language , taking in a lexical specification – generally regular expressions with some markup – and emitting a lexer.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
Related: 16 Games Like Wordle To Give You Your Word Game Fix More Than Once Every 24 Hours We'll have the answer below this friendly reminder of how to play the game .
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An alphanumeric outline includes a prefix at the beginning of each topic as a reference aid. The prefix is in the form of Roman numerals for the top level, upper-case letters (in the alphabet of the language being used) for the next level, Arabic numerals for the next level, and then lowercase letters for the next level.
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