Search Query Disambiguation (SQD)





Let’s face it, Search Engine Optimization (SEO), is an enigma to demystify, not only the process is an untidy experience in terms of understanding the underlying mechanisms and functions of keywords, but the incremental changes in Google’s algorithm upgrade that may effect or cause a fluctuation in any traction gained by SEO specialist. Keywords are no longer an orthographic system of writing or linguistics communication, it’s evolved into a lucrative commodity, where the value of “meaning,” has augmented an imperative analysis of the structure of linguistics in Natural Language Processing (NLP), and its impact on computational linguistics.

Linguistics Organic Search Engine Theory (LOSE-T), Resolution
Linguistics Organic Search Engine Theory (LOSE-T), addresses these issues by implementing a systematic and in depth analysis of the deep structures of linguistics and the myriad of variances in ambiguity, by mapping the semantics extensions of words into a taxonomic classification of all ambiguous variances deriving from a word. (LOSE-T), unravels the search query imperfections, deciphers meaning and illustrates the algorithms incompetence and ineffective calculative functions.

Word Sense Disambiguation (WSD), Computational Linguistics
Computational Linguistics is the interdisciplinary between academic disciplines, where the structure of linguistics and its branches; phonetics, phonology, morphology, syntax, semantics, pragmatics, psycholinguistics and sociolinguistics are applied to computational applications to model human communication effectively and efficiently. Word Sense Disambiguation (WSD), is an opened conundrum in Natural Language Processing (NLP), stemming from the infinite variances of ambiguity deriving from words, phrases and sentence structures a problem that impacts a machines ability to disambiguate meaning and render accurate semantics and syntax.

Problems In Natural Language Processing (NLP), and Keywords a Indexing
Multinational conglomerations such as Google and Microsoft has augmented the values of linguistics into a lucrative commodity, by issuing keywords to digital advertisers for a premium to render their ad placements in the search query. Through search and display network and other forms of advertisements. Google’s algorithm disambiguates meaning rather than equivocate the myriad of ambiguous variances, and ofcourse, an algorithm is predicated on a set of computational rules and calculations fallible to the Word Sense Disambiguation (WSD), problem in Natural Language Processing (NLP).

– Derivational and Inflectional Morphemic Disparity
* Inability to decipher collocations
* Inability to decipher compound lexemes
* Problems with prefix, suffix, infix, affix and circumfixes
– Metaphor and Analogical Discrepancy
* Inability to augment the myriad of figurative meanings
* Disambiguating equivocated meanings
* Excluding diachronic and synchronic considerations
– Polysemy, Monosemy, Capitonymic Variances
* Disambiguating Polysemy
* Disambiguating Capitonym into Monosemy
* Monosemy is ambiguous (figurative implications)

What Is Linguistics Organic Search Engine Theory (LOSE-T)?
Linguistics Organic Search Engine Theory (LOSE-T), is the taxonomic disambiguation of linguistics ambiguity in search query. It’s a system of ideas centered around the general principle of classifications; by contextualizing the qualities and characteristics of keywords through the subsets of linguistics. Primarily, Phonetics, Phonology, Morphology, Syntax, Semantics, Pragmatics, Psycholinguistics and Sociolinguistics. The disambiguation of keywords ambiguity is contingent on a myriad of linguistic factors; examples– (1) Curating a Lexemes Inexactness and Uncertainty into Taxonomies; (2) Differentiating Between Denotational and Connotational Attribute’s; (3) Augmenting Infinite Variables and Contextual Sensitivity; (4) Establishing an Unequivocal Equilibrium Between Ambiguous Variances. These methods will induce search query impartiality in Natural Language Processing (NLP), and resolve the open problem in Word Sense Disambiguation (WSD). Linguistics Organic Search Engine Theory (LOSE-T) analysis is the process of contextualizing the qualities and characteristics of keywords through a deep examination of linguistics and its subsets.

– Phonetics
* Classification of Speech
– Phonology
* System of Sound
– Morphology
* Study of Forms
– Syntax
* Context of Words and Phrases
– Semantics
* Branches of Meaning
– Pragmatics
* Contextual Usage
– Psycholinguistics
* Linguistics Behavior
– Sociolinguistics
* Linguistics Behavior and Social Factors

By implementing a deep-seeded analysis of deterministic and nondeterministic variables in linguistics ambiguity, and augmenting every facet of its variances, ambiguity in taxonomic classifications would improve an algorithms calculative functions. Metaphorical ambiguities are ingrained in lexemes because of the myriad of social factors that influence the connotative evolution of meanings. This nondeterministic behavior is predicated on an infinite number of linguistics behavior.

The disambiguation of keywords ambiguity is contingent on a myriad of linguistic factors; examples–

* Curating a Lexemes Inexactness
* Taxonomic Approach To Uncertainty
* Differentiating Primary Denotations
* Differentiating Connotational Attributes
* Augmenting Infinite Variables
* Augmenting Contextual Sensitivity
* Establishing an Unequivocal Equilibrium
* Disambiguating Ambiguous Variances

These methods will induce search query impartiality in Natural Language Processing (NLP), and resolve the open problem in Word Sense Disambiguation (WSD).

(WSD) Disambiguation False Dichotomy
There’s a school of thought pertaining to Word Sense Disambiguation (WSD). (1) A corpus of language data is used to disambiguate, and a dictionary to specify the senses of the word, also using lexical and syntactical methods of evaluation. There’s a myriad of problems arising from these ideas; the development of algorithms to replicate humans ability to dissect ambiguity is not contingent on dictionary inputs or a corpora of linguistics data, because the former and latter are qualitative and quantitative properties required for a nonlinear synthesis. Deducing ambiguity is predicated on the augmentation of keyword variances and building an inventory of infinite queries and contextual sensitivity.

(WSD) Disambiguation Inability To Decipher Senses
Word Sense Disambiguation (WSD), relies on dictionary senses to draw broad distinctions, a fallible reliance because of taxonomic exclusions. Using dictionary resources and other lexeme compilers to prime computational lexical codings for word sense disambiguation; this incurs a myriad of problems because the corpora of overlapping meanings is a taxonomic problem in language processing that precedes ambiguity. To decipher a lexemes senses a taxonomic branch of natural language processing is paramount. (LOSE-T)

Natural Language Processing (NLP) False Dichotomy
Natural language processing has two approaches; shallow approaches and deep approaches; the former attributes the coding surrounding words to decipher syntax; primarily, if the word “bark,” and “dog,” is in the same context, then it’s assumed to be the dog “emitting sound;” rather than the noun “bark,” attributed to the outer sheath of the tree truck. Computer decipher these senses using an inventory of word tags. The latter explores a comprehensive breakdown of text and the distinct senses between “bark,” the outer sheath of the tree and “bark,” the dog emitting sound.

Linguistics Organic Search Engine Theory (LOSE-T)
“Bass,” is a noun for “bass instrument; a noun for “lower vocal range,” and a noun for a “type of fish.” Let’s decipher the variances in “bass” ambiguity. “Bass” is a homonym, homograph, heteronym, polysemy, hyponym, hypernym, metonym and a paradox. Homonym, because the lexeme has identical spelling and pronunciation; example a phrasal sentence where “bass,” as a lower vocal range and a stringed instrument, is used; homograph because “bass” is spelled identical but differentiate in pronunciation due to syntax; again, the ambiguity is a result of the myriad of phonetical sound of vowels. It’s a heteronym also because unlike a homograph that can be both homograph or homonym (due to syntax), a heteronym’s characteristics have specificity, in that it’s spelled identical with different pronunciation.

(LOSE-T) Disambiguates The Corpora of Overlapping Meanings
“Bass” is also a polysemy because the ambiguity extends beyond double and triple interpretations; however, this ambiguity augments into a myriad of figurative connotations, a discrepancy prevalent in all dictionaries and corpora of language data. “Bass,” is also a hyponym, which is the subsets of a whole or something more general; example, “bass,” is the hyponym or guitars or instruments. It’s also a hypernym because it’s the superordinate or general taxonomies to groups of freshwater fish such as, “Large Mouth Bass,” “Striped Bass,” and “Japanese Sea Bass.”

Inducing the paradox of a single lexeme “bass,” being both hyponym and hypernym simultaneously. “Bass,” is also metonymic because the term can figuratively be attributed adjacent or within close proximity to refer to “a musician.” This is how we decipher ambiguity in language, by investigating the myriad of variances and augmenting algorithms to facilitate these linguistic factors.

(LOSE-T) Approach Deciphers The Variances of Ambiguity
Linguistics organic search engine theory resolves the ambiguity in Word Sense Disambiguation (WSD) to improve Natural Language Processing (NLP), by implementing a set of taxonomic classifications; examples are lexical, syntactic, structural, grammatical, punctuational and phonological ambiguity; amphibolous grammatical sentence and the unequivocal double meanings; denotational lexemes diverging into connotative attributes; and the contrasting distinctions in figurative and rhetorical devices deriving from intonation, inflection, cadence and tonal modulation to induce ambiguity.

Search Query Unequivocally Disambiguates Ambiguous Variances
The ambiguity of a keyword may appear in the search query or get excluded from the curation, and this process is unequivocal, regardless if a lexeme is equivalent in ambiguity. Whether it entails a primary or secondary meaning; such as “bank,” as a financial institution and “bank,” as in a transversed slope; both lexemes are equal in parity, however, the noun is indexed as the dominant while the verb is the subordinate, or excluded from the curation all together. The discrepancy between what the algorithm curates and the denotative and connotative meaning of keywords is a tantamount problem that cannot be negated.

Linguistics Organic Search Engine Theory (LOSE-T)
Google’s search query disambiguates ambiguity and isolates meaning into monosemic context, impairing the denotational and connotational infrastructure of lexemes, and incurring a poorly calculated search query operation. (LOSE-T) can improve an algorithm rules of calculating and processing problem solving in (NLP), by implementing and encoding an inventory of linguistics taxonomy; this resolution will not disambiguate ambiguity in Natural Language Processing (NLP), but unequivocally impart the infinite variances of linguistic ambiguity. Below are taxonomic classification of each paper.

(1) Morphological Classification
– Morphological classification explores derivational, inflectional morphology and the derivations of ambiguity deriving from prefix, suffix, affix, infix, compound and collocations. The juxtaposition of free and bound morphemes and its search query implications; the disparity in meanings between lexemes and its compounded derivatives in meaning. Phrasal ambiguity such as adages, idioms and other devices.

(2) Figurative and Rhetorical Classification
– Figurative and rhetorical classification explores the lexemes connotative derivatives and its figurative exclusion from search queries; primarily metaphor, analogy, metonym, and the search engines inability to include the myriad of variances attributed to the non-literal aspect of lexemes. This area specifically explores the use of lexemes to explore the commonalities between different forms of existence…

(3) Derivatives and Variances Classification
– Derivatives and Variances Classification examines ambiguity beyond its double meaning; primarily monosemy and polysemy; the former has the property of a single meaning and the latter has ambiguous variances beyond the double and triple meanings. Also, the alteration of meaning through capitalism and a search query inability to parity the variances of definition.

(4) Semantics Classification
– Semantics classification focuses on the most ubiquitous ambiguity in linguistics; homonyms, homophones and homograph units; an imperative area because it’s the core building block from where extended ambiguities derive from; primarily, heteronym, heterograph, polysemy, paronym etc.

(5) Phonetics and Phonological Classification
– Phonetics and phonological classification studies segmental and suprasegmental features in rhetorical devices; primarily dramatic, situational, verbal, tragic, socratic irony, sarcasm, and it’s relationship to intonation, inflection, modulation and cadence. Phonological ambiguity deriving from the rise and fall in intonation and human cognition.

(6) Taxonomic Classification
– Taxonomic classification explicates a hyponyms, meronyms, hypernyms and the myriad of taxonomic lexemes and their relationships; a schematic classification of lexicons into subordinate and superordinate constituents, and methods of implementing taxonomic features into search query disambiguation.

(7) Denotation and Connotation Classification
– Denotation and connotation explores the diachronic and synchronic of lexemes classifications; primarily the correlation between the primary meaning of lexemes, it’s connotative nonliteral evolution in relationship to diachronic and synchronic context.

(8) Semantics and Phonological Classification
– Semantics and phonological classifications is the semantics classification extended; heteronyms, heterographs are synonymous to homonyms, homophones and homographs. These are subtle variances in meaning that induces a disparity in the search query.

(9) Orthographic Classification
– Orthographic classification precedes back to antiquity and the historical evolution of human communication; wedged carvings and image depiction to induce meaning and the early stages of paradoxes, irony and ambiguity in vaguely inexplicable visual expression.

(10) Symbolism Classification
– Symbolistic classification precedes to the era of human communication through symbolism; picograms, idiograms, logograms and phonograms; also the demystification of ambiguity and a theoretical approach to resolving Word Sense Disambiguation (WSD), in Natual Lanaguage Processing (NLP).

(11) Grammatical Units Classification
– Grammatical units classification is an obscure area because an abbreviation, acronym or initial can induce ambiguity if there’s a parity in thinking, lexeme association with a literary device or the disparity in meaning deriving from a noun and verb from a homonym.

(12) Literary Classifications
Literary classifications analysis the search queries inability to decipher different forms of acronyms, Innitialisms and abbreviations; primarily to disparity in meanings and the algorithms unequivocal disambiguation.

(13) Adjectives Classifications
The analysis of absolute, comparative, superlative, possessive, demonstrative, indefinite adjectives and its influence on search query results.

– Derivational and Inflectional Morphology

* Bound Morphemes
* Free Morphemes
* Compound Words
* Collocations
* Idiom and Adages

– Metaphor, Analogy, Metonyms

* Metaphor and Analogy
* Diachronic Linguistics
* Synchronic Linguistics

– Polysemy, Monosemy, Capitonym

* Capitalization
* Double Ambiguity
* Tripple Ambiguity
* Quadruple Ambiguity

– Homonyms, Homophones, Homographs

* Spelling and Pronunciation
* Lexical Ambiguity
* Syntactic/Structural Ambiguity
* Punctuational Ambiguity
* Grammatical Ambiguity
* Phonological Ambiguity

– Segmental and Suprasegmental Phonology

* Dramatic Irony
* Situational Irony
* Verbal Irony
* Tragic Irony
* Socratic Irony
* Verbal & Visual Sarcasm
* Condescension

– Paronyms, Hyponyms, Meronyms, Hypernyms

* Subsets Of A Whole
* Classifications
* Derivational and Inflectional Morphemes

– Onomatopoeia, Denotation and Connotation

* Literal & Primary Meaning
* Social Evolution of Meaning

– Heteronym, Heterographs, Orthographic Units

* Etymological Origins
* Ancient Writing Systems

– Cunieforms, Pictographs, Ideographs

* Wedges
* Carvings
* Abstract Units

– Logographs, Hieroglyphics, Phonographic Units

* Characters
* Sacred-Carvings
* Phonetic Units

– Abbreviations, Acronyms-Hybrid, Initialisms

* Generic and Non-Generic Forms
* Abbreviation Ambiguity
* Overlapping Disciplines

– Anthropomorphic, Personification, Punctuation, Typography

* Surrealism
* Juxtaposition of Incongruity
* Abstract Qualities
* Character Traits

– Holonyms, Synonyms, Antonyms, Taxonomy

* Opposites and Similarities
* Classifications and Representations

– Prefix, Suffix, Affix, Infix, Circumfix, Morphemes

* Morphological Units
* compound and collocations
* hyphens and typography

– Taxonomic Framework To Encode (NLP)

* Homonym Ambigity
* Homographic Ambiguity
* Heteronymic Ambiguity
* Hyponymic Ambiguity
* Metonymic Ambiguity
* Morphological Ambiguity
* Metaphorical Ambiguity
* Paradoxical Ambiguity
* Analogical Ambiguity

– Absolute, Comparative, Superlative Adjectives

* Gradable and Non-Gradable
* Morphosyntactic
* Higher Order and Spatial Magnitude

– Redshift, Doppler, Special and General Relativity

* Precondition Paradoxes
* Immutable Deductive Laws
* Frame of Reference
* Redshift, Blueshift, Doppler effect

– Possessive, Demonstrative, Indefinite Adjectives and Pronouns

* Ownership
* Indication
* Non-Specificity

– Proper Noun, Common Noun, Symmetrical Characters

* Generality
* Specificity
* Capitalization
* Incongruity

– Modulation, Cadence, Intonation, Inflection

* Amplitude
* Frequency
* Velocity
* Timbre
* Overtone
* Undertone

– Terminology, Jargon, Verbosity, Ebonics

* Terms of Application
* Special Expression
* Wordiness
* Urban Dialect

– Phonemes, Graphemes, Morphemes, Diagraphs

* Units of Sound
* Units of Syllables
* Units of Letters
* Units of Morphemes

– Autocompletion, Spelling Correction Predictions

* Algorithmic Flaws
* Typo Error and Keyboard Mishaps
* Correction Irony
* Calculative Predictions

– Algorithmic Paradoxes, Equilibrium’s, Axioms

* Contradictory
* Opposing Forces
* Propositions
* Preconditions & Immutable Laws

– Chromatics, Diatonics, Logarithmics, Octaves

* Scales and Intervals
* Linear and Nonlinearity
* Basilar Membrane
* Perception

– Anaphora, Cataphora, Antecedent, Postcedent

* Pronouns
* Figurative’s and Rhetorical
* Referential and Associations

– Hegelians Dialect; Thesis, Antithesis, Synthesis

* Elephant in The Room
* Proposition and Contrast
* Triads and Equilibrium

– Diachronic, Synchronic, Etymology

* Historical Development
* Specific Linguistics Points
* Origin of Meaning
* Social Evolution

– Syntagmatic, Paradigmatic, Semiotics

* Signs and Symbols
* Horizontal Linear
* Vertical Nonlinear
* Arbitrary Relations

The History of Linguistics Organic Search Engine Theory (LOSE-T), (SEO), and Word Sense Disambiguation (WSD)





Introduction To (LOSE-T) Search Query Disambiguation (SQD)
(1) (SEO), (SERP), (NLP), Derivational & Inflectional Morphology
(2) (SEO), (SERP), (NLP), Metaphor, Analogy, Metonym
(3) (SEO), (SERP), (NLP), Polysemy, Capitonym, Monosemy
(4) (SEO), (SERP), Homonym, Homophones, Homograph
(5) (SEO), (SERP), Segmental & Suprasegmental Phonology
(6) (SEO), (SERP), Paronym, Hyponym, Meronym, Hypernym
(7) (SEO), (SERP), Onomatopoeia, Denotation and Connotation
(8) (SEO), (SERP), Heteronym, Heterograph, Orthographic Units
(9) (SEO), (SERP), (NLP), Cuneiform, Pictographs, Ideographs
(10) (SEO), (SERP), Logographs, Hieroglyphics, Phonographs
(11) (SEO), (SERP), Abbreviations, Acronyms-Hybrids, Initialisms
(12) (SEO) (SERP) Anthropomorphic, Personification, Typography
(13) (SEO), (SERP) Holonyms, Synonyms, Antonyms, Taxonomy
(14) (SEO), (SERP) Prefix, Suffix, Affix, Infix, Circumfix, Morpheme
(15) (SEO), (LOSE-T) Taxonomic Framework To Encode (NLP)
(16) (SEO), (SERP) Absolute, Comparative, Superlative Adjectives
(17) (SEO), (SERP) Redshift, Doppler, Special & General Relativity
(18) (SEO), Possessive, Demonstrative, Indefinite Adjectives
(19) (SEO), (NLP), Proper Nouns, Common Nouns, Capitonymic
(20) (SEO), (NLP), Modulation, Cadence, Intonation, Inflection
(21) (SEO), (NLP), Terminology, Jargon, Verbosity, Slang/Ebonics
(22) (SEO), (NLP) Phonemes, Graphemes, Morphemes, Digraphs
(23) (SEO), (NLP), Autocomplete, Spelling Correction Predictions
(24) (SEO), (NLP), Algorithmic Paradoxes, Equilibriums, Axioms
(25) (SEO), (NLP), Chromatics, Diatonics, Logarithmics, Octaves
(26) (SEO), (NLP), Anaphora, Cataphora, Antecedent, Postcedent
(27) (SEO), (NLP), Hegelians Dialect; Thesis, Antithesis, Synthesis

(1) Fundamental vs Technical Analysis in The Stock-Market
(2) Predicting The Stock Market Using Dispersed Variables..
(3) (SEO), (SMO), (SERP), And Google Algorithms..
(4) ICANN), (gTLD), Domain Registras & Cyber-Squatting..
(5) Domain Names (gTLD), Effect On (SEO), Stock-Market..
(6) 10-K, 10-Q, Annual Reports And Google Revenue..
(7) (ICANN), (UDRP), Domain Trademark And Cybersquatting..
(8) Economic Correlation/Advertisement, Marketing & Commodity!

(1) Three Dimensional Paradoxes In Spatial Schemata
(2) Vibrating Molecules and Elliptical Bubbles
(3) Musical Octaves and Wave-Particle Duality
(4) Smells Velocity Induces Memory Faculty
The Paradox of Light and Sound Induces Synesthesia
(6) The Trichotomy Between Amplitude, Frequency and Velocity
(7) Black Is An Electromagnetic-Radiation (EM) Paradox
(8) Quantum Field Theory, Nash Equilibrium & Social Science
(9) Quantum Electrodynamics, Intramolecular, Intermolecular
(10) The Fibonacci Sequence & Coriolis Effect; Music & Motion

(1) The Emotional Dichotomy in Humor
(2) Neuro-Behavioral Disorder Adaptation
(3) Why Comedians Don’t Laugh At Open Mics
(4) Economic Psychology and Humor Aberration
(5) The Philosophy And Psychology Behind Fozzie Bear Humor
(6) Women Comics! A Sociobiological and Economical Analysis
(7) The Trichotomy Between Instinct, Intuition and Improvisation
(8) Synasthesia, Psychophysics, Linguistics and Humor!

The Wave-Medium Dichotomy Between Light and Sound
The Contrasting Distinctions Between Metaphor and Analogy
Thermodynamics and The Industrial Revolution
Analogically Correlating The Third Law of Motion Equilibrium
American History Pervasive With Irony 13th, 14th, 15th Amendment
The Fallibility of Improper Metaphor Congress and Atoms
Sarcasm Phonology, Ambiguity, Semiotics, Semantics etc..
Dramatic, Situational, Verbal, Tragic, Socratic Irony
Apophenia, Pareidolia, Psychosis, Schizophrenia
Synchronicity, Serendipity, Irony, Coincidences
Lexical, Syntactical and Structural Ambiguity
Incongruous Juxtaposition Resolution

(1) Ecological Factors and Physiological Attributes 
(2) The Psychology of Politics Equatable Rhetorics
(3) Psychophysics, Polyrhythm, Arrangement and Composition
(4) Smells Velocity Induces Memory Faculty
(5) Cognitive Impairment/Weather Conditions/Placebo Effect
(6) The Social Equilibrium of Spirituality vs Superficiality
(7)  Quantum Entanglement, Chameleon Effect and Coincidences
(8) Synthesis Deriving From A Medical Antithesis
(9) The Power of Analogy, A Peculiar Mnemonics
(10) A Metaphor In Physics To Induce Organic Sleep
(11) Karma The Spiritual Undertone In Cause and Effect  
(12) Distinctions Between Verbal Irony and Verbal Sarcasm  
(13) School District Negligence, A Butterfly a Effect Analogy 
(14) Dogs Defecating Alignment With The Earths Magnetic Field  
(15) Fundamental vs Technical Analysis in The Stock-Market  
(16) A Conglomeration of Political Discrepancy 

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