Muse Definition VerbMuse-Definition Verb
Webster's Dictionary 1828
Therefore, writers in antiquity, as in antiquity, call for the help of the Muse or Muse, or in other words, the poet' s master. O Musen, what muse for Granville can forbid herself to be sung? In-depth thinking; attentive attentiveness or reflection that abstract the intellect from temporary sequences; hence sometimes lack of intellect.
Like in the great muse, not a single spoke to a single being. For reflection, for reflection, for studying in stillness. I' m thinking about the work of your hand. Absence; being so busy in studying or contemplating that no temporary scene or things can be observed. Don't worry about me.
DRIVER: MUSE, verb trans-itive For reflection, for reflection.
Defining Muse through Webster's online dictionary
1. one of the nine godsesses, girls of Zeus and Mnemosyne, who chaired the songs and the different types of poesy, but also the art and science; - often used in the plurals. 2. a special force and praxis of poesy; the inspiring mastery of a writer. 3. a writer; a minstrel. v. i.1. to think precisely; to read in stillness; to muse.
2. to be away; to be so busy in studying or contemplating that one cannot see any temporary scene or thing; to be in a tan trial. 2. to wonder. n.1. condensation abstracting the mind from transient scenarios; absorbent thought; hence lack of reason; a fawn sketch. 2.muse - the fountain of an artist's inspirations; "Euterpe was his muse" Verb1.muse - reflects profoundly on a theme; "I have thought about the happenings of the afternoon"; "philosophers have been speculating about the issue of God for millennia "; "The scholar must stop observing and begin to excogite", , , , , , , , , , , , , , , , , ,
Well, what's this?
It can be used in your application to find words that correspond to a certain sentence of restrictions and that are likely in a certain contexts. There are a number of restrictions in terms of meanings, orthography, tone and terminology that you can specify in your searches in any desired number. Appliances use the application programming interface for a broad array of functions, which include automatic completion of text entry boxes, relevance rankings, supporting typing tools, and more.
The end point will return a number of words (and multi-word expressions) from a particular terminology that correspond to a particular bind. The following chart shows the first four parameter (rd, sl, spe, rel_[code] and v) as severe restrictions on the resulting sets, while the next three (topics, lc and rc) can be seen as contextual notes.
spSpelled like constraint: requires that the results be written similar to this substring, or that they correspond to this placeholder format. rel_ [code]Related word constraints: requires that the results, when matched to the words in this paramter, are in a pre-defined encyclopedic relationship specified by[code].
vIdentifier is a three-digit qualifier from the following table. vIdentifier for the lexicon to be used. When none is specified, a 550,000 word glossary of words and multi-word phrases is used. The value indicates a lexicon of 500,000 terms from spanischsprachücher. encwiki provides a 6 million terms glossary of item title from the Wikipedia, which is refreshed every month.
Please contact us to create an individual terminology for your use. Available meta data code is as follows: dDefinitionsProduced in the defs filed of the results object. All meta data code can be found in the dDefinitionsProduced in the fields of the results objects. Most of the definition are from WordNet. A defHeadword box is added if the term is an inflectional shape (e.g. the plurals of a verb or a conjugate verb ) that specifies the basic shape from which the definition is drafted. pParts of speechOne or more Part-of-Speech code is added to the tag box of the resulting entity.
"n "n" means substantive, "v" means verb, "adj" means adjective, and " adv³ means adverb, and " u³ means that the part of the language is none of them or cannot be defined. In the numSyllables area of the results objects, this box is based on an analyze of the Google Books Ngrams database. sSyllable countProduced in the numSyllables area of the results objects.
The number of characters may be equivocal in certain cases, the best estimate of the system being selected on the basis of the whole request. rPronunciationProduced in the tags filed of the result object, preferably by "pron:". It is the best estimate of the system for pronouncing the term or phrase.
When adding "&ipa=1" to your library request, the international phonetic alphabet is used instead. Please be aware that words that occur very rarely or outside the word list will be pronounced according to their notation. Occasionally the accent may be ambivalent, with the best estimate of the system being selected on the basis of the whole request. fWord frequencyProduced in the tags filed of the results object, preferred by "f:".
This is the number of occurrences of the term (or phrase) per million words of text according to Google Books Ngrams. *qeQuery echo: Existence of this field prompts the system to prefix the results with a value describing the request from another field specified as the value of the arguments.
You can use /words? sp=flower&qe=sp&md=fr, for example, to determine the number of words and the number of words in the flowers. Useful as a back-end for auto-complete Widget on web pages and applications when the terminology of possible keywords is very large. The system provides suggested words for a partial prompt using a combo of the above described actions in the /words resources.
Proposals make real-time spell-checking and make intelligent use of phonetic or semantic similar decisions when an accurate phrase matching cannot be found. A JSON exit similar to the /words ressource is generated and is suited for jQuery autocomplete used in the above demonstration. vIdentifier for the terminology to be used.
Corresponds to the /words param. Both for /words and for /sug, the results of an application programming interface call are always a JSON collection of words objects:
A blank combo box () is displayed if no words or words matching your restrictions are found. Please be aware that common multi-word terms such as "hot dog" are part of the standard terminology, and these are displayed as spaces separated character seq. Otherwise the requests are sorted according to an estimation of the population of the term in the type.
In this case, the number of points box has no interpretive significance except as a way of evaluating the results. When you want to use this in a customer-oriented applications, or if you need your own terminology, or if you want to make more than 100,000 queries per days, you can get an interface code and a robust release with a higher warranty of uptime.
word2vec is used to arrange results by subject (the conversational descriptor "topics"). word2vec and the award-winning paraphrase database are used to fill the results for individual words with "means-like" restrictions (the conversational descriptor "ml"); in particular, the vocabulary phrases "XXL" are used without change.
If you need such conveniences for your application, the Wordnik API is a good one.