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Flex (fast lexical analyzer generator) is a free and open-source software alternative to lex. [2] It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers").
Lexical choice is the subtask of Natural language generation that involves choosing the content words (nouns, non-auxiliary verbs, adjectives, and adverbs) in a generated text. Function words (determiners, for example) are usually chosen during realisation .
A lexical chain is a sequence of related words in writing, spanning narrow (adjacent words or sentences) or wide context window (entire text). A lexical chain is independent of the grammatical structure of the text and in effect it is a list of words that captures a portion of the cohesive structure of the text.
Grammatical abbreviations are generally written in full or small caps to visually distinguish them from the translations of lexical words. For instance, capital or small-cap PAST (frequently abbreviated to PST) glosses a grammatical past-tense morpheme, while lower-case 'past' would be a literal translation of a word with that meaning.
RE/flex (regex-centric, fast lexical analyzer) [1] [2] is a free and open source computer program written in C++ that generates fast lexical analyzers (also known as "scanners" or "lexers") [3] [4] in C++. RE/flex offers full Unicode support, indentation anchors, word boundaries, lazy quantifiers (non-greedy, lazy repeats), and performance ...
The database may be custom-designed for the lexical information or a general-purpose database into which lexical information has been entered. Information typically stored in a lexical database includes spelling, lexical category and synonyms of words, as well as semantic and phonological relations between different words or sets of words.
In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings. It also involves removing features specific to particular linguistic and cultural contexts, to the extent that ...
WordNet includes words that can be perceived as pejorative or offensive. [18] The interpretation of a word can change over time and between social groups, so it is not always possible for WordNet to define a word as "pejorative" or "offensive" in isolation. Therefore, people using WordNet must apply their own methods to identify offensive or ...