Varieties of english
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This document discusses the different varieties of English based on region, social factors, medium, field of discourse, and attitude. It identifies five main types of linguistic variation: regional dialects, social variation based on education, socioeconomic group, age, and ethnic/gender, field of discourse variation based on the topic being discussed, medium variation based on whether it's written or spoken language, and attitude variation based on social prejudices. It also outlines some of the major standardized national varieties of English including British, American, and others.
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Varieties of english
This document discusses the different varieties of English based on region, social factors, medium, field of discourse, and attitude. It identifies five main types of linguistic variation: regional dialects, social variation based on education, socioeconomic group, age, and ethnic group/gender, field of discourse variation based on the topic being discussed, medium variation based on whether language is spoken or written, and attitude variation based on social relationships between speakers. It also outlines some of the major standardized national varieties of English including British, American, and others.
Language in Society/Society in Language
This document discusses how language varies based on social and geographical factors. It explores differences in dialect, accent, vocabulary, grammar, and pronunciation between varieties of English like British English, American English, and Australian English. Language variation exists across registers that are conditioned by their uses, like legal or religious registers, and between formal and informal styles of speech. Communities that share linguistic norms and rules for language use are called speech communities, and a speaker's communicative competence involves their underlying knowledge of a language's rules and how to use them.
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Computer security
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Jeremy glimp piracy powerpoint
Private security companies can help address the problem of piracy by protecting ships from attack. Currently, naval forces are too small to protect all ships, so hiring private contractors would save governments money while still complying with international law. Some prominent private military companies interested in these contracts include Xe Services and Neptune Security Associates.
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Varieties of english
This document discusses the different varieties of English based on region, social factors, medium, field of discourse, and attitude. It identifies five main types of linguistic variation: regional dialects, social variation based on education, socioeconomic group, age, and ethnic group/gender, field of discourse variation based on the topic being discussed, medium variation based on whether language is spoken or written, and attitude variation based on social relationships between speakers. It also outlines some of the major standardized national varieties of English including British, American, and others.
Language in Society/Society in Language
This document discusses how language varies based on social and geographical factors. It explores differences in dialect, accent, vocabulary, grammar, and pronunciation between varieties of English like British English, American English, and Australian English. Language variation exists across registers that are conditioned by their uses, like legal or religious registers, and between formal and informal styles of speech. Communities that share linguistic norms and rules for language use are called speech communities, and a speaker's communicative competence involves their underlying knowledge of a language's rules and how to use them.
Rickardo vaca
El documento presenta un examen de razonamiento lógico para un estudiante de 6to año de física y matemáticas. Consiste en 20 preguntas donde se debe elegir la opción correcta que complete una analogía. Las preguntas tratan sobre temas como autores famosos, conceptos geográficos, palabras de origen y relaciones entre objetos.
Computer security
The document discusses computer security and passwords as a common security method. It notes passwords can include numbers, letters, or words but may not be the most secure. It also mentions threats like spam, viruses, and hackers which can slow computers down or allow unauthorized access. Hackers were originally people who wrote encryption codes but now break into files for money or fun, potentially causing problems.
Martin Anderson - Fast We Promise
Betfair rebuilt their website to address performance issues users had experienced. They moved to a new Java-based architecture with server-side rendering and modular components to improve speed. This resulted in faster page loads, increased user sessions and bets placed, and improved customer analytics. While more improvements are still needed, the new architecture provides a foundation to continuously deliver optimizations based on data and customer feedback.
Spy v Spy - Treachery in the Dev/Ops Trenches
This document discusses challenges faced by a company in building a new website to handle high traffic volumes. Some key issues included slow performance of the original Java-based site, difficulties monitoring site performance at scale, outages caused by database failures, and challenges integrating new NoSQL databases and microservices. The company addressed these problems through techniques like optimizing database queries, distributed monitoring, database sharding, and testing changes in production. The overall message is that infrastructure must evolve to keep up with rapidly changing code, and resilience is critical when handling large volumes of traffic.
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- Betfair chose Couchbase as their strategic document NoSQL solution to store session state, cross-session state, and service persistence for key-based entities. Couchbase was selected due to its strong performance, scalability, schema flexibility, and ease of use for both developers and operations teams. Betfair has been using Couchbase in production for about 6 months across multiple application clusters.
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Language in Society
English has many dialects that vary based on region and social class. The document examines dialects in Papua New Guinea, which contains over 1,500 languages spoken by small village groups. A study examined how people from different villages requested betel nut to chew, finding both identical dialects and close relationships between dialects of the same language. While languages and dialects exist on a continuum, political and social factors also influence whether varieties are considered separate languages or dialects.
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This document discusses how sounds and sound patterns transfer between languages when learning a new language. It outlines 6 types of segmental errors and discusses suprasegmental patterns involving stress, tone, and intonation. Native language influence is an important factor in acquiring a new language's phonetics and phonology. Differences in sounds, phonological rules, syllable structure, and frequency of phonemes across languages can lead to errors for language learners.
English as a germanic language
While English has borrowed much vocabulary from non-Germanic languages, it remains a Germanic language in its core structure and sounds. English shares phonological innovations with other Germanic languages that differentiate it from other Indo-European families. The morphology of English also differs from other Indo-European languages in its verb systems, voices, moods and tenses. English is most closely related to the West Germanic Anglo-Frisian subdivision.
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If you happen to like this powerpoint, you may contact me at flippedchannel@gmail.com
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Varieties of english PPT
1. Language variation occurs according to field of discourse, medium, and attitude.
2. Variation according to field relates to the type of activity engaged in through language, such as medicine or business.
3. Variation according to medium is related to whether language is spoken or written.
4. Variation according to attitude refers to whether language is used in a formal or informal manner.
LIN1340_10.1.08.ppt
This document provides an overview of the topics to be covered in a university course on language and society. The first session will introduce key concepts like linguistic variation, variables, the difference between language and dialect, and regional versus social dialects. It will also discuss challenges in defining the term "language." The second session will examine regional dialects, social dialects, and learning outcomes. Examples are provided to illustrate linguistic variation and the difference between accents and dialects.
Varieties of english (map)
There are five major types of linguistic variation: regional, social, field of discourse, medium, and attitude. Regional variation refers to differences in language based on the region where a person lives or has lived. Social variation means differences according to factors like education, socioeconomic class, ethnicity, age, and sex. Variation can also occur based on the communication medium (spoken vs. written) and the attitude or level of formality with which a message is conveyed.
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This document provides an overview of the topics to be covered in a university course on language and society. The first session will introduce key concepts like linguistic variation, variables, the difference between language and dialect, and regional versus social dialects. It will also discuss challenges in defining the term "language." The second session will examine regional dialects, social dialects, and learning outcomes. Examples are provided to illustrate linguistic variation and the difference between accents and dialects.
Varieties of english (map)
There are five major types of linguistic variation: regional, social, field of discourse, medium, and attitude. Regional variation refers to differences in language based on the region where a person lives or has lived. Social variation means differences according to factors like education, socioeconomic class, ethnicity, age, and sex. Variation can also occur based on the communication medium (spoken vs. written) and the attitude or level of formality with which a message is conveyed.
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Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
20240609 QFM020 Irresponsible AI Reading List May 2024
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
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Varieties of english
- 1. VARIETIES OF ENGLISH By Lilian Rivera Zenoff
- 2. TYPES OF VARIATION Any use pf the languague involves variation. We find five types: REGION FIELD OF SOCIAL DISCOURSE MEDIUM ATTITUDE
- 3. Types of variation The first two types of variation relate to the language user and the last three types relate to language use. Varieties according to region have a well-established label: dialects. There are as many dialects as many people are in the world.
- 4. SOCIAL VARIATION DEPENDS ON : EDUCATION SOCIOECONOMIC GROUP AGE ETHNIC GROUP GENDER
- 5. STANDARD ENGLISH There is basically a single spelling and punctuatio system throughout: with two minor subsystems. British English American English (BrE) (AmE) Both have grammatical differences such as AmE has two past participles for get and BrE has only one. Also they have lexical differences, for example: While radio sets have had valves in BrE, but tubes in AmE, television sets have tubes in both.
- 6. Other National Standards SCOTS ENGLISH CARIBBEAN IRISH ENGLISH ENGLISH ENGLISH SOUTH LANGUAGE CANADIAN AFRICA ENGLISH ENGLISH NEW ZELAND AUSTRALIAN ENGLISH ENGLISH