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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").
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.
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 .
An outline, also called a hierarchical outline, is a list arranged to show hierarchical relationships and is a type of tree structure. An outline is used [1] to present the main points (in sentences) or topics of a given subject. Each item in an outline may be divided into additional sub-items.
Finally, subcategorization frames are associated most closely with verbs, although the concept can also be applied to other word categories. Subcategorization frames are essential parts of a number of phrase structure grammars, e.g. Head-Driven Phrase Structure Grammar, Lexical Functional Grammar, and Minimalism.
Use italics when writing about words as words, or letters as letters (to indicate the use–mention distinction). Examples: The term panning is derived from panorama, which was coined in 1787. Deuce means 'two'. (Linguistic glosses go in single quotation marks.) The most common letter in English is e.
Many Japanese words are formed by connecting two verbs, as in 'go and ask (listen)' (行って聞く, ittekiku), and in Japanese orthography lexical items are generally written with kanji (here 行く and 聞く), while grammatical items are written with hiragana (as in the connecting て).
Word-sense disambiguation (WSD) – because many words have more than one meaning, word-sense disambiguation is used to select the meaning which makes the most sense in context. For this problem, we are typically given a list of words and associated word senses, e.g. from a dictionary or from an online resource such as WordNet.
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