pronouns weak nouns
play

Pronouns & Weak Nouns M&R 1525 ENG240Y Old English / Fri - PowerPoint PPT Presentation

Oct 19, 2023 •278 likes •429 views

Pronouns & Weak Nouns M&R 1525 ENG240Y Old English / Fri 17 Sep 2010 Demonstrative pronoun se Masc. sg Neut. sg Fem. sg Plural Nom. se t so Acc. one t Gen. s s re ra

  1. Pronouns & Weak Nouns M&R §§15–25 ENG240Y Old English / Fri 17 Sep 2010

  2. Demonstrative pronoun se Masc. sg Neut. sg Fem. sg Plural Nom. se þæt sēo þā Acc. þone þæt þā þā Gen. þæs þæs þǣre þāra Dat. þām þām þǣre þām Inst. þȳ þȳ ● Se cyning is dēad ● Ic sēo þone cyning ● Ic eom þes cyninges sunu ● Ic hiere þām cyninge ● Þȳ sweorde ic hine ofsloh

  3. Demonstrative pronouns Masc. sg Neut. sg Fem. sg Plural Nom. se þæt sēo þā Acc. þone þæt þā þā Gen. þæs þæs þǣre þāra Dat. þām þām þǣre þām Inst. þȳ þȳ Masc. sg Neut. sg Fem. sg Plural Nom. þes þis þēos þās Acc. þisne þis þās þās Gen. þisses þisses þisse þissa Dat. þissum þissum þisse þissum Inst. þȳs þȳs

  4. Demonstrative pronouns Masc. sg Neut. sg Fem. sg Plural Nom. se þæt sēo þā Acc. þone þæt þā þā Gen. þæs þæs þǣre þāra Dat. þām þām þǣre þām Inst. þȳ þȳ Masc. sg Neut. sg Fem. sg Plural Nom. þes þis þēos þās Acc. þisne þis þās þās Gen. þisses þisses þisse þissa Dat. þissum þissum þisse þissum Inst. þȳs þȳs

  5. Demonstrative pronouns Masc. sg Neut. sg Fem. sg Plural Nom. se þæt sēo þā Acc. þone þæt þā þā Gen. þæs þæs þǣre þāra Dat. þām þām þǣre þām Inst. þȳ þȳ Masc. sg Neut. sg Fem. sg Plural Nom. þes þis þēos þās Acc. þisne þis þās þās Gen. þisses þisses þisse þissa Dat. þissum þissum þisse þissum Inst. þȳs þȳs

  6. Personal pronouns 1st sg. 1st dual 1st pl. Nom. ic wit wē Acc. mē unc ūs Gen. mīn uncer ūre Dat. mē unc ūs 2nd sg. 2nd dual 2nd pl. Nom. þū git gē Acc. þē inc ēow Gen. þīn incer ēower Dat. þē inc ēow

  7. Personal pronouns 1st sg. 1st dual 1st pl. Nom. ic wit wē Acc. mē unc ūs Gen. mīn uncer ūre Dat. mē unc ūs 2nd sg. 2nd dual 2nd pl. Nom. þū git gē Acc. þē inc ēow Gen. þīn incer ēower Dat. þē inc ēow

  8. Personal and interrogative pronouns Masc. sg Neut. sg Fem. sg Plural Nom. hē hit hēo hīe Acc. hine hit hīe hīe Gen. his his hire hira Dat. him him hire him Masc./fem. Neut. Nom. hwā hwæt Acc. hwone hwæt Gen. hwæs hwæs Dat. hwām hwām Inst. hwȳ hwȳ

  9. Personal and interrogative pronouns Masc. sg Neut. sg Fem. sg Plural Nom. hē hit hēo hīe Acc. hine hit hīe hīe Gen. his his hire hira Dat. him him hire him Masc./fem. Neut. Nom. hwā hwæt Acc. hwone hwæt Gen. hwæs hwæs Dat. hwām hwām Inst. hwȳ hwȳ

  10. ‘Weak’ versus ‘strong’ ● Nouns: - strong nouns convey more grammatical information; - weak nouns have simplified inflection and therefore have to be analyzed using their modifiers. ● Adjectives: - strong adjectives are the first (or only) modifiers in a noun phrase, conveying the most grammatical information; - weak adjectives have simplified inflection because they follow another modifier with fuller inflection, which has to be used for analysis.

  11. ‘Weak’ versus ‘strong’ ● Verbs: - strong verbs form their preterites and past participles using vowel gradation; - weak verbs form them using a dental suffix d / t . ‘Weak’ means a construct is later (Germanic rather than Indo-European) and follows simpler inflectional patterns.

  12. Weak nouns m/n singular plural singular plural Nom. nama naman ēage ēagan Acc. naman naman ēage ēagan Gen. naman namena ēagan ēagena Dat. naman namum ēagan ēagum

  13. Weak nouns m/n singular plural singular plural Nom. nama naman ēage ēagan Acc. naman naman ēage ēagan Gen. naman namena ēagan ēagena Dat. naman namum ēagan ēagum ● Nearly all weak nouns are masculine or feminine; nouns whose nominative ends in -a are always weak masculine. ● In all neuter nominals the nominative and accusative singular are identical.

  14. Pronouns and weak nouns ● On þīnum þām hāligan naman, gedō mē hālne. ● Sēo hālgung þæs mǣran naman godes. ● Ne gecnēow se gerēfa þāra namena nān ðing þe hē þǣr namode. ● On ðisum namum byð se a lang on eallum cāsum. ● Ðīn ēage is þīnes lichaman lēohtfæt. ● Þā mæsseprēostas bēoþ Godes cyricena lārēowas. ● Hē hēt þā cyrican halgian. ● !Se bið ðīn ēage se þe ðē wisdom tǣcð.

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Year 4 Literacy Lesson One I can consistently choose nouns or pronouns appropriately to aid

Year 4 Literacy Lesson One I can consistently choose nouns or pronouns appropriately to aid

Year 4 Literacy Lesson One I can consistently choose nouns or pronouns appropriately to aid cohesion and avoid repetition Starter: -auto and -anti P refix recap- A prefix is added to the beginning of a word to make a new word. Most

990 views • 71 slides
Chapter 6: Noun Phrases and Agreement Syntactic Constructions in English Kim and Michaelis (2020)

Chapter 6: Noun Phrases and Agreement Syntactic Constructions in English Kim and Michaelis (2020)

Chapter 6: Noun Phrases and Agreement Syntactic Constructions in English Kim and Michaelis (2020) Syntactic Constructions Chapter 6 1 / 65 Classification of Nouns 1 Syntactic Structures 2 Common Nouns Pronouns Proper Nouns 3 Agreement

783 views • 65 slides
UNCOUNTABLE nouns only have one form; e.g. work, love, food, intelligence, water, information. Most

UNCOUNTABLE nouns only have one form; e.g. work, love, food, intelligence, water, information. Most

What s in a name? More than you imagine... English nouns can be countable or uncountable COUNTABLE nouns have a singular and plural form e.g. one book / three books, one person / three people With countable nouns we can use a/an or some e.g. I

210 views • 18 slides
Perfect Pronouns Pronouns take the place of a noun (person, place, thing) within a sentence. This

Perfect Pronouns Pronouns take the place of a noun (person, place, thing) within a sentence. This

Lesson 1 Character Analysis.notebook April 22, 2020 Perfect Pronouns Pronouns take the place of a noun (person, place, thing) within a sentence. This prevents us from repeating the noun over. There are 3 types of pronouns - possessive

386 views • 11 slides
Grammar 1: Nouns and Verbs Nouns: people, places, things, ideas Verbs: action words

Grammar 1: Nouns and Verbs Nouns: people, places, things, ideas Verbs: action words

Grammar 1: Nouns and Verbs Nouns: people, places, things, ideas Verbs: action words Grammar 1: Nouns and Verbs NOUNS Nouns are things which can be touched (with the hands or the mind) people: poet, hero, warrior, Gilgamesh

177 views • 7 slides
Nouns, V erbs, and Sentences 98-348: Lecture 2 Nouns, verbs and sentences 98-348: Lecture 2

Nouns, V erbs, and Sentences 98-348: Lecture 2 Nouns, verbs and sentences 98-348: Lecture 2

Nouns, V erbs, and Sentences 98-348: Lecture 2 Nouns, verbs and sentences 98-348: Lecture 2 Any questions about the homework? Everyone read one word at var snimma ndvera byg goanna, er goin hfu sett Migar ok

383 views • 34 slides
Antecedent preferences of Personal Pronouns and Anaphoric Demonstratives in German in

Antecedent preferences of Personal Pronouns and Anaphoric Demonstratives in German in

Antecedent preferences of Personal Pronouns and Anaphoric Demonstratives in German in Comprehension Frances Wilson, Frank Keller and Antonella Sorace University of Edinburgh Demonstrative Pronouns Demonstrative pronouns can be used

498 views • 32 slides
The Meaning of Pronouns: Insights from Sign Language Philippe Schlenker (Institut Jean-Nicod &

The Meaning of Pronouns: Insights from Sign Language Philippe Schlenker (Institut Jean-Nicod &

The Meaning of Pronouns: Insights from Sign Language Philippe Schlenker (Institut Jean-Nicod & NYU) The work on Weak Crossover is co-authored with Gaurav Mathur (Gallaudet University) Goals In two domains, sign language [here: ASL and

910 views • 72 slides
To the weak I became weak, that I might win the weak. I have become all things to all people,

To the weak I became weak, that I might win the weak. I have become all things to all people,

To the weak I became weak, that I might win the weak. I have become all things to all people, that by all means I might save some. I do it all for the sake of the gosepl, that I might share with them in its blessing. Do you not know that in

652 views • 40 slides
s Possessive Nouns OS 220 Business Editing Skills What is a possessive Noun? Possessive

s Possessive Nouns OS 220 Business Editing Skills What is a possessive Noun? Possessive

s Possessive Nouns OS 220 Business Editing Skills What is a possessive Noun? Possessive nouns are nouns that show ownership or possession. Normally these words would be a singular or plural noun, but in the possessive form they are used

358 views • 11 slides
WEAK INTERPOLATION PROPERTY over THE MINIMAL LOGIC Larisa Maksimova Sobolev Institute of

WEAK INTERPOLATION PROPERTY over THE MINIMAL LOGIC Larisa Maksimova Sobolev Institute of

Abstract Weak interpolation and joint consistency Propositional J-logics Reduction of WIP Weak interpolation and weak amalgamation Weak interpolation and weak amalgamation Logics with WIP over Gl Description of logics with WIP over Gl and J

621 views • 41 slides
EN ENGL GLISH ISH LAN ANGUAG GUAGE TOPIC 48: GRAMMAR: COUNTABLE AND UNCOUNTABLE NOUNS.

EN ENGL GLISH ISH LAN ANGUAG GUAGE TOPIC 48: GRAMMAR: COUNTABLE AND UNCOUNTABLE NOUNS.

ACADEMIC LYCEUM INTERNATIONAL HOUSE TASHKENT 1 st semester EN ENGL GLISH ISH LAN ANGUAG GUAGE TOPIC 48: GRAMMAR: COUNTABLE AND UNCOUNTABLE NOUNS. COUNTABLE AND UNCOUNTABLE NOUNS In English grammar, countable nouns are individual

210 views • 10 slides
Sentences 1 98-348: Lecture 4 Change of plans Throwing all of nouns, verbs and grammar at you

Sentences 1 98-348: Lecture 4 Change of plans Throwing all of nouns, verbs and grammar at you

Re: Nouns, Verbs and Sentences 1 98-348: Lecture 4 Change of plans Throwing all of nouns, verbs and grammar at you doesnt work Well look at some new nouns, some new verbs and some new sentence structures every lecture Usage of

345 views • 32 slides
PERSONAL PRONOUNS 2 PERSONAL PRONOUNS SUBJE JECT CTIVE AND OBJECT CTIVE CASE

PERSONAL PRONOUNS 2 PERSONAL PRONOUNS SUBJE JECT CTIVE AND OBJECT CTIVE CASE

PERSONAL PRONOUNS 2 PERSONAL PRONOUNS SUBJE JECT CTIVE AND OBJECT CTIVE CASE Referem-se s pessoas do discurso; Funcionam como sujeito ou substituem um elemento com funo de sujeito; Funcionam como objeto ou

470 views • 27 slides
Group 12 Gender in Third-person Singular Pronouns English Mandarin Cantonese [t h a1]

Group 12 Gender in Third-person Singular Pronouns English Mandarin Cantonese [t h a1]

Gendered and Genderless: The mental organization of Chinese personal pronouns Group 12 Gender in Third-person Singular Pronouns English Mandarin Cantonese [t h a1] Masculine He [t h a1] Feminine She [k h y5] [t h a1]

693 views • 32 slides
PRONOUNS IN MOTION: A TYPOLOGY AND METHODOLOGY FOR EXAMINING DYNAMIC VARIATION KIRBY CONROD

PRONOUNS IN MOTION: A TYPOLOGY AND METHODOLOGY FOR EXAMINING DYNAMIC VARIATION KIRBY CONROD

PRONOUNS IN MOTION: A TYPOLOGY AND METHODOLOGY FOR EXAMINING DYNAMIC VARIATION KIRBY CONROD @KIRBYCONROD UNIVERSITY OF WASHINGTON KCONROD@UW.EDU OUTLINE INTRODUCTION: what are pronouns (doing) in English? BACKGROUND: some more social

525 views • 19 slides
Regular Expressions Lecture 11b Larry Ruzzo Outline Some string tidbits Regular

Regular Expressions Lecture 11b Larry Ruzzo Outline Some string tidbits Regular

Regular Expressions Lecture 11b Larry Ruzzo Outline Some string tidbits Regular expressions and pattern matching Strings Again abc abc a b c abc rabc Strings Again abc\n abc\n a

684 views • 49 slides
Bayesian Networks Lab Andrea Passerini and Luca Erculiani Machine Learning BN Lab The software

Bayesian Networks Lab Andrea Passerini and Luca Erculiani Machine Learning BN Lab The software

Bayesian Networks Lab Andrea Passerini and Luca Erculiani Machine Learning BN Lab The software HuginLite Trial version of the Hugin family of software for Bayesian Networks The free trial version is limited to handle max. 50 states and

292 views • 13 slides
Exercises Recommended trials Exercises 1-8 Taisuke Ozaki (ISSP, Univ. of Tokyo) The

Exercises Recommended trials Exercises 1-8 Taisuke Ozaki (ISSP, Univ. of Tokyo) The

Exercises Recommended trials Exercises 1-8 Taisuke Ozaki (ISSP, Univ. of Tokyo) The Summer School on DFT: Theories and Practical Aspects, July 2-6, 2018, ISSP Recommended trials 1. Geometry optimization Perform a geometry optimization

711 views • 10 slides
SpECTRE CCE tutorial ICERM, September 2020 Jordan Moxon, on behalf of the SpECTRE team and SXS

SpECTRE CCE tutorial ICERM, September 2020 Jordan Moxon, on behalf of the SpECTRE team and SXS

SpECTRE CCE tutorial ICERM, September 2020 Jordan Moxon, on behalf of the SpECTRE team and SXS moxon@black-holes.org I. INTRODUCTION This is a quick description on how to get up and running with the stand-alone version of the SpECTRE CCE

546 views • 6 slides
Algorithm Design Maria-Florina (Nina) Balcan Carnegie Mellon University Analysis and Design of

Algorithm Design Maria-Florina (Nina) Balcan Carnegie Mellon University Analysis and Design of

Sample Complexity for Data Driven Algorithm Design Maria-Florina (Nina) Balcan Carnegie Mellon University Analysis and Design of Algorithms Classic algo design: solve a worst case instance. Easy domains, have optimal poly time algos.

993 views • 43 slides
Game Design Pa,erns CS 4730 Computer Game Design

Game Design Pa,erns CS 4730 Computer Game Design

Game Design Pa,erns CS 4730 Computer Game Design Credit: Some slide material courtesy Walker White (Cornell) CS 4730 Architecture Big Picture

645 views • 22 slides
Observer Design Pattern Event-Driven Design EECS3311 A & E: Software Design Fall 2020 C HEN

Observer Design Pattern Event-Driven Design EECS3311 A & E: Software Design Fall 2020 C HEN

Observer Design Pattern Event-Driven Design EECS3311 A & E: Software Design Fall 2020 C HEN -W EI W ANG Learning Objectives 1. Motivating Problem: Distributed Clients and Servers 2. First Design Attempt: Remote Procedure Calls 3. Second

797 views • 37 slides
Concurrency-Enhancing Transformations for Asynchronous Behavioral Specifications: A Data-Driven

Concurrency-Enhancing Transformations for Asynchronous Behavioral Specifications: A Data-Driven

Concurrency-Enhancing Transformations for Asynchronous Behavioral Specifications: A Data-Driven Approach John Hansen and Montek Singh University of North Carolina Chapel Hill, NC, USA 1 Introduction: Motivation &MAIN : main proc (IN?

782 views • 43 slides

More recommend