Elements of Wit, Humor and Irony in Pride and Prejudice.
Made by-Khandoker Mufakkher Hossain ..
Ex-Student, Jagannath University,Dhaka.Dept. of English
01911689503
Elements of Wit, Humor and Irony in Pride and Prejudice.
Made by-Khandoker Mufakkher Hossain ..
Ex-Student, Jagannath University,Dhaka.Dept. of English
01911689503
http://www.slideshare.net/ToninaMarwin/the-lesson-plan link to the semi-detailed Lesson plan in English for 4th year students exactly for this presentation... The poem is entitled Digging by Seamus Heaney. The lesson plan was executed today and was observed by the critic teacher. This is now the edited version of that lesson plan. You may find the lesson plan uploaded in this site as well...
http://www.slideshare.net/ToninaMarwin/the-lesson-plan link to the semi-detailed Lesson plan in English for 4th year students exactly for this presentation... The poem is entitled Digging by Seamus Heaney. The lesson plan was executed today and was observed by the critic teacher. This is now the edited version of that lesson plan. You may find the lesson plan uploaded in this site as well...
Big Data and Natural Language ProcessingMichel Bruley
Natural Language Processing (NLP) is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language.
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Similar to LEXICAL RELATIONS AND ITS APPLICATION ON "THE KITE" (12)
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Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
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for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
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Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
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4. What is semantics ???
Semantics concerns knowledge of the meaning of lexical items
how the meanings of grammatical combinations of lexical
items, including sentences, depend upon the meanings of their
structure and constituents.
Semantics thus concerns knowledge of expression types that
competent speakers bring to particular contexts of language
use.
14. EXAMPLE 1
1) “She had the same sharp features and the same
rather small beady eyes but her lips were scarlet
with paint, her cheeks lightly rouged and her
short black hair permanently waved. Mrs.
Sunbury took in all this at a glance, and she
reckoned to a penny how much her smart rayon
dress had cost her, her extravagantly high heeled
shoes and the saucy hat on her head. Her frock
was very short and she shoed a good deal of flesh
colored stocking.”
15.
16. • The definition of set will be further elaborated
by the following example.
“He was neat in his dress; he went to work in
quiet grey trousers, a black coat and a bowler
hat.”
The scrutiny of the statement illustrates that
trouser, coat and bowler hat comes under the
category of set.
20. EXAMPLE
• “on principle the Sunbury’s were total abstainers, but
on Sundays, when to make up for the frugal lunch
consisting of scone and butter with a glass of milk,
which Samuel had during the week, Beatrice gave him
a good dinner of roast beef and Yorkshire pudding, for
his health’s sake she liked him to have a glass of beer”.
“She poured out tea and asked Herbert to give a cup
to his lady friend. ‘Ask Miss Bevan if she’ll have some
bread and butter or scone, Samuel, my dear.’
Scone bread butter pudding roast beef milk
beer tea
21.
22. Kinship systems make an interesting area for componential analysis. Kinship is
universal since all humans are related to other humans through blood ties through
marriage, but kinship systems differ from society to society.
23. Theme Predicate Associate
Samuel Father-of Herbert
Betty wife-of Herbert
24.
25. Truth conditional
semantics
Hyponyms Antonyms Synonyms
Converse Binary &
antonyms non binary
antonyms
31. Two or more words with very closely related meanings are called
synonymy. They can often, though not always, be substituted for
each other in sentence in appropriate circumstances …
32.
33. 2) The kite, the new, expensive kite, was in fragments. It
had been savagely attacked with the hatchet, the
woodwork was all in pieces, and the reel was hacked to
bits.
3) She was a little woman, but strong, active and wiry, with a
sallow skin; sharp, regular features and small beady eyes.
4) it was not without satisfaction that Mrs. Sunbury perceived
that Betty was offended. 4b) ‘She said she’d never been so
insulted in her life. I had a rare job pacifying her.
5) There was a fresh breeze blowing and a number of kites
small and large were sailing through the air.
34. • strolled and walk,
• fragments and pieces,
• offended and insulted,
• breeze and air
The underline words have the same sense in the
given context, they are the instances of synonymy
and they are synonymous to each other. Synonyms
share the same meaning but they never have the
same range of syntactic occurrences. It can be
noticed from the sentences given above that W.
Somerset Maugham has expeditiously used
synonyms in his literary piece, ‘The kite’.
35.
36. 1a) ‘Perhaps the acquaintance is a bit short for that,’ said Mrs. Sunbury with
a gracious smile.
1b) ‘I hope so.’ said Mrs. Sunbury with an acid smile, ‘I Wouldn’t dream of
letting you eat a piece of cake that’s been on the floor.
37. 2) He was a stubborn boy and he wasn’t going to be beaten.
Something was wrong and it was up to him to put it right.
3) She hesitated. Mr. Sunbury fidgeted, he didn’t know
whether to stay or go.
4) Mrs. Sunbury was anxious because she had never let him
play with the children in the street. Evil communication
corrupts good manners.
5) They weren’t flying the big kite which he was used to, but
a new one, a box kite, a small one on the model for which he
had made the designs for himself.
38. In the sentences
mentioned above….
•gracious and acid;
•wrong and right;
•stay and go;
• evil and good;
• big and small
Are antonyms of each other. They differ in
polarity and are mutually contradictory.
They are antonymous and are instances of
antonyms.
39. Binary antonyms
• Non- binary antonyms
Non-binary antonyms are those in which middle option is
there …like OLD AND young ….it can be how old or how
young …..
41. Example :
Non binary antonyms:
• 1) They were contemptuous of smaller kites
than theirs and envious of bigger ones.
Small and big are non binary antonyms and
they are having various intermediate terms.
Non binary antonyms are easily modified, like
very big, quiet big, rather big, extremely
small, very small, etc.
2) “Just the right height, said his mother ‘Not too
tall and not too short.”
In the above statement tall and short are binary
antonyms.