SlideShare une entreprise Scribd logo
1  sur  20
Sentence patterns
Just about all sentences in the English
language fall into ten patterns determined by
the presence and functions of nouns, verbs,
adjectives, and adverbs.
The patterns are most easily classified
according to the type of verb used:
Verb of being
Verb of being patterns (1, 2, 3) use a form of
the verb to be as the main verb in the sentence.
- is are was were has been
have been had been
Linking verb
 Linking verb patterns (4, 5) use one of
the linking verbs as the main verb in
the sentence. The linking verb is
followed by a noun or adjective
functioning as a subjective
complement.
-smell taste look feel
seem become appear
grow
Action verb
 Action verb patterns (6, 7, 8, 9, 10)
use one of the many action verbs as
the main verb in the sentence. The
action verb may be either transitive
(take a direct object) or intransitive
(not take a direct object).
-see jump embrace write
imagine buy plummet think
etc.
Terms
 Terms used to identify various parts of
each sentence pattern include the
following:
 NP = noun phrase
 This abbreviation refers to a headword
noun and its modifiers ("noun phrase")
functioning as a subject, direct object,
indirect object, subjective complement,
or objective complement.
 • NP1, NP2, NP3, etc. = designations
for different noun phrase functions
Numbers in sequential order are
used with each NP
 Numbers in sequential order are used
with each NP to designate its
difference from or similarity to other
NPs before and after it.
 • V-be = verb of being
 • LV = linking verb
 • V-int = intransitive verb
 • V-tr = transitive verb
 • ADV/TP = adverbial of time or
place
 • ADJ = adjective
THE TEN SENTENCE PATTERNS
1. NP1 + V-be + ADV/TP
 The verb of being is followed by an
adverb indicating where or when.
The adverbial indicating
where or when may be a
prepositional phrase.
2. NP1 + V-be + ADJ
 The verb of being is followed by an
adjective that functions as the
subjective complement.
The adjectival functioning as
the subjective complement
may be a prepositional
phrase.
3. NP1 + V-be + NP1
 The verb of being is followed by a noun that
functions as the subjective complement.
Note: The second NP receives the same
numerical designation as the first NP because
the second NP, the subjective complement, is
the same as the subject (Mr. James = teacher).
4. NP1 + LV + ADJ
 The linking verb is followed by an adjective
functioning as a subjective complement.
 The adjectival functioning as the subjective
complement may be a prepositional phrase.
5. NP1 + LV + NP1
 The linking verb is followed by a noun
functioning as a subjective
complement.
Note: The second NP receives the same
numerical designation as the first NP because
the second NP, the subjective complement, is
the same as the subject (Joan = Buddhist).
6. NP1 + V-int
 The action verb takes no direct
object.
 Even if the action verb is followed by a
prepositional phrase, the verb is still
intransitive as long as it does not take
a direct object.
7. NP1 + V-tr + NP2
 The action verb is followed by a direct
object.
Note: The second NP, the direct object, receives
a different numerical designation (NP2) because
it is not the same as the subject (NP1).
8. NP1 + V-tr + NP2 + NP3
 The action verb is followed by an
indirect object and then a direct object.
Note: The indirect object and the direct object
each receive a new numerical designation
because each is different from the other and
both are different from the subject.
9. NP1 + V-tr + NP2 + ADJ
 The action verb is followed by a direct object. The
direct object is followed by an adjective functioning
as an objective complement.
Note: The second NP, the direct object,
receives a different numerical designation
(NP2) because it is not the same as the
10. NP1 + V-tr + NP2 + NP2
 The action verb is followed by a direct
object. The direct object is followed by a
noun functioning as an objective
complement.
Note: The second NP, the direct object, receives a
different numerical designation (NP2) because it is not
the same as the subject (NP1). The third NP, the
objective complement, receives the same numerical
designation as the direct object (NP2) because it is the
same as the direct object (Jacobsen = friend).
THE END

Contenu connexe

Tendances

Active and Passive Voice
Active and Passive VoiceActive and Passive Voice
Active and Passive VoiceAlfred Rueda
 
Activeandpassivevoice 120807233839-phpapp02
Activeandpassivevoice 120807233839-phpapp02Activeandpassivevoice 120807233839-phpapp02
Activeandpassivevoice 120807233839-phpapp02redaksigarisatas
 
Pronouns Handout
Pronouns HandoutPronouns Handout
Pronouns HandoutRhina Odom
 
Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Viana Nacolonha
 
Syntax 334 lecture 3
Syntax 334 lecture 3Syntax 334 lecture 3
Syntax 334 lecture 3Akashgary
 
Syntaxlong
SyntaxlongSyntaxlong
Syntaxlongmpaviour
 
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...Parul Gupta
 
Phrase structure rule
Phrase structure rulePhrase structure rule
Phrase structure ruleSila Chaniago
 
Beginning syntax 1
Beginning syntax 1Beginning syntax 1
Beginning syntax 1Jesus Payan
 
Syntax tree diagrams
Syntax tree diagramsSyntax tree diagrams
Syntax tree diagramsRUBEN ZAPATA
 
Transitive Verb and Direct Object
Transitive Verb and Direct ObjectTransitive Verb and Direct Object
Transitive Verb and Direct ObjectLei Dela Cruz
 
Active and passive voice
Active and passive voiceActive and passive voice
Active and passive voiceKedhar Guhan
 
The locality principle- kiran
The locality principle- kiranThe locality principle- kiran
The locality principle- kirankiran nazir
 
Case theory in Punjabi Language syntax
Case theory in Punjabi Language syntaxCase theory in Punjabi Language syntax
Case theory in Punjabi Language syntaxBasharat Mirza
 

Tendances (20)

Active and Passive Voice
Active and Passive VoiceActive and Passive Voice
Active and Passive Voice
 
Activeandpassivevoice 120807233839-phpapp02
Activeandpassivevoice 120807233839-phpapp02Activeandpassivevoice 120807233839-phpapp02
Activeandpassivevoice 120807233839-phpapp02
 
Pronouns Handout
Pronouns HandoutPronouns Handout
Pronouns Handout
 
Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Adverbials and other related matters work 2015
Adverbials and other related matters work 2015
 
Pre modefication of np
Pre modefication of npPre modefication of np
Pre modefication of np
 
Syntax 334 lecture 3
Syntax 334 lecture 3Syntax 334 lecture 3
Syntax 334 lecture 3
 
Syntaxlong
SyntaxlongSyntaxlong
Syntaxlong
 
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...
Verbs - Transitive and Intransitive,Linking and Finite ,Non-Finite (easy appr...
 
Phrase structure rule
Phrase structure rulePhrase structure rule
Phrase structure rule
 
First Lecture of SIC
First Lecture of SICFirst Lecture of SIC
First Lecture of SIC
 
Complement phrase
Complement phraseComplement phrase
Complement phrase
 
Beginning syntax 1
Beginning syntax 1Beginning syntax 1
Beginning syntax 1
 
Syntax
SyntaxSyntax
Syntax
 
Syntax tree diagrams
Syntax tree diagramsSyntax tree diagrams
Syntax tree diagrams
 
Recursion
RecursionRecursion
Recursion
 
Transitive Verb and Direct Object
Transitive Verb and Direct ObjectTransitive Verb and Direct Object
Transitive Verb and Direct Object
 
Active and passive voice
Active and passive voiceActive and passive voice
Active and passive voice
 
The locality principle- kiran
The locality principle- kiranThe locality principle- kiran
The locality principle- kiran
 
Tree diagrams
Tree diagramsTree diagrams
Tree diagrams
 
Case theory in Punjabi Language syntax
Case theory in Punjabi Language syntaxCase theory in Punjabi Language syntax
Case theory in Punjabi Language syntax
 

Similaire à Advance english 3[1]

M1 lesson 2.1 slides
M1 lesson 2.1 slidesM1 lesson 2.1 slides
M1 lesson 2.1 slidesAnh Le
 
Basic sentence patterns and traditional classification of sentences surigao
Basic sentence patterns and traditional classification  of sentences   surigaoBasic sentence patterns and traditional classification  of sentences   surigao
Basic sentence patterns and traditional classification of sentences surigaoJohn Paul George Cardenas
 
sentence patterns
sentence patternssentence patterns
sentence patternsJack Tony
 
Syntax And Stylistics 4
Syntax And Stylistics 4Syntax And Stylistics 4
Syntax And Stylistics 4Rick McKinnon
 
BASIC SENTENCE TRANSFORMATIONS
BASIC SENTENCE  TRANSFORMATIONSBASIC SENTENCE  TRANSFORMATIONS
BASIC SENTENCE TRANSFORMATIONSHani Shakir
 
Testing and Evaluation
Testing and EvaluationTesting and Evaluation
Testing and EvaluationMaqsood Ahmad
 
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.TIYASHAROY
 
Structures in government binding Model
Structures in government binding ModelStructures in government binding Model
Structures in government binding ModelHajar Moghaddasi
 
Syntas, constituent function
Syntas, constituent functionSyntas, constituent function
Syntas, constituent functionfirdausempatlima
 
Ispravak midterm, uvodumorfo., nov12
Ispravak midterm, uvodumorfo., nov12Ispravak midterm, uvodumorfo., nov12
Ispravak midterm, uvodumorfo., nov12Alen Šogolj
 
Lecture 1: The roles of phrases and clauses
Lecture 1: The roles of phrases and clausesLecture 1: The roles of phrases and clauses
Lecture 1: The roles of phrases and clausesenglishatheart844
 

Similaire à Advance english 3[1] (20)

Sentences.pptx
Sentences.pptxSentences.pptx
Sentences.pptx
 
M1 lesson 2.1 slides
M1 lesson 2.1 slidesM1 lesson 2.1 slides
M1 lesson 2.1 slides
 
Basic sentence patterns and traditional classification of sentences surigao
Basic sentence patterns and traditional classification  of sentences   surigaoBasic sentence patterns and traditional classification  of sentences   surigao
Basic sentence patterns and traditional classification of sentences surigao
 
Phrases (2).pptx
Phrases (2).pptxPhrases (2).pptx
Phrases (2).pptx
 
Syntax (I Bimestre)
Syntax (I Bimestre)Syntax (I Bimestre)
Syntax (I Bimestre)
 
sentence patterns
sentence patternssentence patterns
sentence patterns
 
Syntax And Stylistics 4
Syntax And Stylistics 4Syntax And Stylistics 4
Syntax And Stylistics 4
 
ENGLISH SYNTAX
ENGLISH SYNTAXENGLISH SYNTAX
ENGLISH SYNTAX
 
BASIC SENTENCE TRANSFORMATIONS
BASIC SENTENCE  TRANSFORMATIONSBASIC SENTENCE  TRANSFORMATIONS
BASIC SENTENCE TRANSFORMATIONS
 
Testing and Evaluation
Testing and EvaluationTesting and Evaluation
Testing and Evaluation
 
Subordination - Syntax LANE 334
Subordination - Syntax LANE 334Subordination - Syntax LANE 334
Subordination - Syntax LANE 334
 
The sentence and the utterance
The sentence and the utteranceThe sentence and the utterance
The sentence and the utterance
 
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.
Morphology: THE FORMATION OF WORDS. A TYPE OF LINGUISTIC.
 
. Morphology. syntax
. Morphology. syntax. Morphology. syntax
. Morphology. syntax
 
Structures in government binding Model
Structures in government binding ModelStructures in government binding Model
Structures in government binding Model
 
English Syntax Primer Bimestre
English Syntax Primer BimestreEnglish Syntax Primer Bimestre
English Syntax Primer Bimestre
 
Syntas, constituent function
Syntas, constituent functionSyntas, constituent function
Syntas, constituent function
 
Ispravak midterm, uvodumorfo., nov12
Ispravak midterm, uvodumorfo., nov12Ispravak midterm, uvodumorfo., nov12
Ispravak midterm, uvodumorfo., nov12
 
The dp2
The dp2The dp2
The dp2
 
Lecture 1: The roles of phrases and clauses
Lecture 1: The roles of phrases and clausesLecture 1: The roles of phrases and clauses
Lecture 1: The roles of phrases and clauses
 

Dernier

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 

Dernier (20)

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 

Advance english 3[1]

  • 1. Sentence patterns Just about all sentences in the English language fall into ten patterns determined by the presence and functions of nouns, verbs, adjectives, and adverbs. The patterns are most easily classified according to the type of verb used: Verb of being Verb of being patterns (1, 2, 3) use a form of the verb to be as the main verb in the sentence. - is are was were has been have been had been
  • 2. Linking verb  Linking verb patterns (4, 5) use one of the linking verbs as the main verb in the sentence. The linking verb is followed by a noun or adjective functioning as a subjective complement. -smell taste look feel seem become appear grow
  • 3. Action verb  Action verb patterns (6, 7, 8, 9, 10) use one of the many action verbs as the main verb in the sentence. The action verb may be either transitive (take a direct object) or intransitive (not take a direct object). -see jump embrace write imagine buy plummet think etc.
  • 4. Terms  Terms used to identify various parts of each sentence pattern include the following:  NP = noun phrase  This abbreviation refers to a headword noun and its modifiers ("noun phrase") functioning as a subject, direct object, indirect object, subjective complement, or objective complement.  • NP1, NP2, NP3, etc. = designations for different noun phrase functions
  • 5. Numbers in sequential order are used with each NP  Numbers in sequential order are used with each NP to designate its difference from or similarity to other NPs before and after it.  • V-be = verb of being  • LV = linking verb  • V-int = intransitive verb  • V-tr = transitive verb  • ADV/TP = adverbial of time or place  • ADJ = adjective
  • 6. THE TEN SENTENCE PATTERNS 1. NP1 + V-be + ADV/TP  The verb of being is followed by an adverb indicating where or when.
  • 7. The adverbial indicating where or when may be a prepositional phrase.
  • 8. 2. NP1 + V-be + ADJ  The verb of being is followed by an adjective that functions as the subjective complement.
  • 9. The adjectival functioning as the subjective complement may be a prepositional phrase.
  • 10. 3. NP1 + V-be + NP1  The verb of being is followed by a noun that functions as the subjective complement. Note: The second NP receives the same numerical designation as the first NP because the second NP, the subjective complement, is the same as the subject (Mr. James = teacher).
  • 11. 4. NP1 + LV + ADJ  The linking verb is followed by an adjective functioning as a subjective complement.
  • 12.  The adjectival functioning as the subjective complement may be a prepositional phrase.
  • 13. 5. NP1 + LV + NP1  The linking verb is followed by a noun functioning as a subjective complement. Note: The second NP receives the same numerical designation as the first NP because the second NP, the subjective complement, is the same as the subject (Joan = Buddhist).
  • 14. 6. NP1 + V-int  The action verb takes no direct object.
  • 15.  Even if the action verb is followed by a prepositional phrase, the verb is still intransitive as long as it does not take a direct object.
  • 16. 7. NP1 + V-tr + NP2  The action verb is followed by a direct object. Note: The second NP, the direct object, receives a different numerical designation (NP2) because it is not the same as the subject (NP1).
  • 17. 8. NP1 + V-tr + NP2 + NP3  The action verb is followed by an indirect object and then a direct object. Note: The indirect object and the direct object each receive a new numerical designation because each is different from the other and both are different from the subject.
  • 18. 9. NP1 + V-tr + NP2 + ADJ  The action verb is followed by a direct object. The direct object is followed by an adjective functioning as an objective complement. Note: The second NP, the direct object, receives a different numerical designation (NP2) because it is not the same as the
  • 19. 10. NP1 + V-tr + NP2 + NP2  The action verb is followed by a direct object. The direct object is followed by a noun functioning as an objective complement. Note: The second NP, the direct object, receives a different numerical designation (NP2) because it is not the same as the subject (NP1). The third NP, the objective complement, receives the same numerical designation as the direct object (NP2) because it is the same as the direct object (Jacobsen = friend).