Avail the professional translation of all your foreign language documents through a leading translation agency in Birmingham with Premium Linguistic services. For more information please visit us : https://premiumlinguisticservices.com/ .
Semasiology is the study of meaning and interpretation in language. It explores how meaning impacts communication and analyzes word meanings, grammar structures, and the evolution of meaning over time. Semasiology is important in fields like linguistics, psychology, and communication studies. It faces challenges from ambiguity, cultural factors, and subjectivity but its future includes advances in semantic analysis, interdisciplinary research, and enhancing cross-cultural understanding.
Relationship of Descriptive Linguistics in the following areas [Autosaved].pptxEnKhi1
This document discusses several key concepts in linguistics including:
1. The autonomy of syntax - the theory that syntax operates independently of meaning and pragmatics.
2. Compositionality - the principle that the meaning of a phrase or sentence can be derived from the meanings of its parts and their structure.
3. Conservative vs innovative forms - conservative forms change little over time while innovative forms undergo more recent changes.
4. Prescriptivism - the belief that there are correct and incorrect ways to use language based on explicit rules imposed on speakers.
5. Methods of linguistic research include collecting primary and secondary data using tools like interviews, observations, and questionnaires for qualitative and quantitative analysis.
Forensic stylistics history, methods and applicadtionsandSubramanian Mani
Forensic stylistics is a branch of forensic linguistics that focuses on the analysis of linguistic style to provide insights into authorship, identity, or other aspects of a written or spoken text.
Forensic stylistic analysis makes use of stylistic analysis to reach a conclusion and opinion related to the authorship of a questioned writing within the context of litigation.
Sociolinguistics is the study of language in society and how social factors like age, gender, identity and social networks influence linguistic variation and change. It examines language variation at the phonological, grammatical, lexical and discourse levels between different dialects, idiolects and sociolects. Standard languages are often codified through grammar books and dictionaries, while non-standard dialects are also studied. Sociolinguistic data is collected through naturalistic recordings to minimize the observer's paradox. Models analyze how social mobility and geographical factors drive language loyalty and change over time.
This presentation explores stylistic variations in language, including differences from region to region, between social groups, and in various contexts. It defines stylistic variation as differences in word choice, grammar, pronunciation and nonverbal cues. There are three main types of variation: regional reflects geography, social reflects groups, and situational reflects context. Examples provided are slang, dialects, and code-switching. Studying stylistic variation provides insight into how social and cultural factors shape language and relationships.
This document provides an overview of the field of linguistics. It discusses that linguistics is the scientific study of language, including its sounds, grammar, meaning and use. It also outlines the main subfields of linguistics, which include micro-linguistics (e.g. phonetics, phonology, morphology, syntax, semantics, pragmatics) and macro-linguistics (e.g. sociolinguistics, psycholinguistics, cognitive linguistics). Each subfield is defined in one or two sentences. The document thus summarizes the key areas and goals of linguistics as a field of scientific inquiry.
This document provides an overview of grammar and different approaches to analyzing grammar. It discusses traditional grammar and how it differs from modern linguistic theories. It also covers parts of speech, grammatical gender, prescriptive grammar rules, descriptive analysis, and methods for structurally analyzing sentences such as constituent analysis and bracketing. The document is intended to teach grammar concepts to students.
Semasiology is the study of meaning and interpretation in language. It explores how meaning impacts communication and analyzes word meanings, grammar structures, and the evolution of meaning over time. Semasiology is important in fields like linguistics, psychology, and communication studies. It faces challenges from ambiguity, cultural factors, and subjectivity but its future includes advances in semantic analysis, interdisciplinary research, and enhancing cross-cultural understanding.
Relationship of Descriptive Linguistics in the following areas [Autosaved].pptxEnKhi1
This document discusses several key concepts in linguistics including:
1. The autonomy of syntax - the theory that syntax operates independently of meaning and pragmatics.
2. Compositionality - the principle that the meaning of a phrase or sentence can be derived from the meanings of its parts and their structure.
3. Conservative vs innovative forms - conservative forms change little over time while innovative forms undergo more recent changes.
4. Prescriptivism - the belief that there are correct and incorrect ways to use language based on explicit rules imposed on speakers.
5. Methods of linguistic research include collecting primary and secondary data using tools like interviews, observations, and questionnaires for qualitative and quantitative analysis.
Forensic stylistics history, methods and applicadtionsandSubramanian Mani
Forensic stylistics is a branch of forensic linguistics that focuses on the analysis of linguistic style to provide insights into authorship, identity, or other aspects of a written or spoken text.
Forensic stylistic analysis makes use of stylistic analysis to reach a conclusion and opinion related to the authorship of a questioned writing within the context of litigation.
Sociolinguistics is the study of language in society and how social factors like age, gender, identity and social networks influence linguistic variation and change. It examines language variation at the phonological, grammatical, lexical and discourse levels between different dialects, idiolects and sociolects. Standard languages are often codified through grammar books and dictionaries, while non-standard dialects are also studied. Sociolinguistic data is collected through naturalistic recordings to minimize the observer's paradox. Models analyze how social mobility and geographical factors drive language loyalty and change over time.
This presentation explores stylistic variations in language, including differences from region to region, between social groups, and in various contexts. It defines stylistic variation as differences in word choice, grammar, pronunciation and nonverbal cues. There are three main types of variation: regional reflects geography, social reflects groups, and situational reflects context. Examples provided are slang, dialects, and code-switching. Studying stylistic variation provides insight into how social and cultural factors shape language and relationships.
This document provides an overview of the field of linguistics. It discusses that linguistics is the scientific study of language, including its sounds, grammar, meaning and use. It also outlines the main subfields of linguistics, which include micro-linguistics (e.g. phonetics, phonology, morphology, syntax, semantics, pragmatics) and macro-linguistics (e.g. sociolinguistics, psycholinguistics, cognitive linguistics). Each subfield is defined in one or two sentences. The document thus summarizes the key areas and goals of linguistics as a field of scientific inquiry.
This document provides an overview of grammar and different approaches to analyzing grammar. It discusses traditional grammar and how it differs from modern linguistic theories. It also covers parts of speech, grammatical gender, prescriptive grammar rules, descriptive analysis, and methods for structurally analyzing sentences such as constituent analysis and bracketing. The document is intended to teach grammar concepts to students.
i. The document discusses natural language processing (NLP) and covers the following topics:
- Finding the structure of words including words and their components, issues and challenges, and morphological models.
- Finding the structure of documents including introduction, methods used, complexity of approaches, and performance of approaches.
ii. It describes key NLP concepts like tokens, lexemes, morphemes, and morphological parsing. It also discusses challenges in defining words and their internal structure across different languages.
Phonology is the study of how sounds are organized and used in languages. It examines an inventory of sounds and rules for how they interact, and analyzes sound patterns to determine which sounds are significant for a language. Phonetics studies speech sound production, while phonology analyzes sound patterns and interpretations in a particular language. A phoneme is the smallest meaningful sound unit that distinguishes word meanings. Generative phonology assigns phonetic representations to utterances based on a speaker's internal grammar. Non-linear models like autosegmental and metrical phonology treat representations as multi-dimensional. Lexical phonology accounts for interactions of morphology and phonology in word formation through ordered levels.
This document provides an overview of the study of language or linguistics. It defines language as the means through which humans express thoughts and discusses how language distinguishes humans from other animals. The document then outlines the main branches of linguistic study, including micro linguistics which examines smaller linguistic units like sounds, words, and sentences, and macro linguistics which studies higher-level topics like the social aspects of language and applied uses. It closes by inviting questions.
Syntax is the study of sentence structure and the rules for constructing sentences, while grammar refers more broadly to the rules of a language, including syntax and morphology. Syntax examines what words go where in a sentence and the relationships between them. Grammar sets the standard for correct usage of a language through rules governing areas like agreement between words. Traditional grammar describes syntactic structures through categories like nouns and verbs, while generative grammar aims to provide rules for predicting grammatical sentences in a language.
Language and Culture in intercultural communication.pptxHajajahsj
This document provides an overview of language and culture. It introduces the instructor and teaching team for the course "Language and Culture 2". It then discusses several key topics related to language and culture, including the relationship between language and communication, linguistics, the structure of human language, variations in language, and characteristics of language. Specific linguistic concepts are defined, such as dialects, pidgins, creoles, lingua franca, jargon, and argot. Examples are provided to illustrate these concepts in different country contexts.
Applied linguistics is an interdisciplinary field that identifies and offers solutions to real-world language problems. It utilizes linguistic research to improve practical tasks involving language. Applied linguistics is concerned with language teaching and learning, testing, psycholinguistics, sociolinguistics, discourse analysis, computational linguistics, and translation studies. Over the 20th century, language teaching methods evolved from the grammar translation method to the direct method, audiolingual method, and finally communicative language teaching in response to developments in linguistics, psychology and changes in views about language learning.
Linguistics is the scientific study of human language and its use. It can be divided into several subfields that study language from different perspectives, including descriptive linguistics, which studies particular languages, and general linguistics, which studies language in general. Some key subfields are phonetics, phonology, morphology, syntax, semantics, pragmatics, sociolinguistics, psycholinguistics, and neurolinguistics. Applied linguistics focuses on practical applications of linguistic research.
This document outlines the main branches of linguistics, including theoretical (general) linguistics, descriptive/applied linguistics, micro linguistics, and macro linguistics. Theoretical linguistics is concerned with frameworks for describing languages, concepts and categories, and theories about universal aspects of language. Descriptive and applied linguistics describe data to confirm or refute language theories and apply concepts in areas like language teaching. Micro linguistics takes a narrow view of language structure, while macro linguistics takes a broad view relating language to other sciences and its application in daily life. Specific branches covered include phonetics, phonology, morphology, syntax, semantics, and more.
Discourse Analysis and Language Teaching.pptxnabilovaaa
This document provides an introduction to discourse analysis and its importance. It begins by defining discourse as extended spoken or written communication that considers context, and defines discourse analysis as the systematic study of language in use to understand patterns and meanings. It then discusses several key aspects of discourse analysis, including its focus on both spoken and written language, social and cultural contexts, how meaning is constructed, and issues of power and ideology. Finally, it outlines some important applications of discourse analysis in understanding language and in fields like linguistics, communication studies, sociology, anthropology, and education.
Linguistics can be divided into several branches based on the perspective or focus of study. At the highest level, linguistics is divided into general linguistics, which studies language universally, and descriptive linguistics, which studies specific languages. It is also divided into diachronic linguistics, which studies language change over time, and synchronic linguistics, which analyzes language at a single point in time. Additional distinctions include theoretical vs applied linguistics, and micro- vs macro-linguistics. Micro-linguistics includes the study of phonetics, phonology, morphology, syntax, semantics and pragmatics. Macro-linguistics includes sociolinguistics, psycholinguistics, neu
Historical linguistics full ppp 7th semester.pdfLailaAfridi1
Historical linguistics studies how languages change over time in their sounds, grammar, and vocabulary. It examines the development and relationships between languages. There are two main branches - diachronic linguistics looks at language change historically, while synchronic linguistics examines the structure of a language at a single point in time. Languages undergo various types of changes including sound changes that affect vowels and consonants, as well as grammatical and semantic changes. The study of language change helps us understand how languages are related and have evolved from earlier forms.
Historical linguistics full ppp 7th semester.pdfLailaAfridi1
Historical linguistics studies how languages change over time in their sounds, grammar, and vocabulary. It examines the development and relationships between languages. There are two main branches: diachronic linguistics looks at language change through history, while synchronic linguistics examines the structure of a language at a single point in time. Languages undergo various types of changes including sound changes that affect vowels and consonants, semantic changes that alter word meanings, and grammatical changes involving morphology and syntax. The study of language change helps explain language relationships and how languages have evolved from parent languages over centuries.
Natural Language Processing (NLP) is a field that combines computer science, linguistics, and machine learning to study how computers and humans communicate in natural language. The goal of NLP is for computers to be able to interpret and generate human language. This not only improves the efficiency of work done by humans but also helps in interacting with the machine. NLP bridges the gap of interaction between humans and electronic devices.
Natural Language Processing (NLP) is a subfield of artificial intelligence that deals with the interaction between computers and humans in natural language. It involves the use of computational techniques to process and analyze natural language data, such as text and speech, with the goal of understanding the meaning behind the language.
The document discusses different approaches to analyzing language systems over the last 200 years. It describes how structuralism divided language into parts including phonology, lexis, vocabulary, and grammar. Linguistics then classified language at three levels: phonology, morphology, and syntax. The communicative approach added two more units: situational and functional aspects. The key components are explained as phonology concerning sounds, lexis concerning vocabulary, grammar concerning sentence structure, morphology concerning morphemes and parts of speech, and syntax concerning sentence rules. Situational and functional aspects help understand expression use in different contexts.
The document discusses two main perspectives on assessing grammar: 1) the syntactocentric perspective which focuses on syntax and sentence structure and 2) the communicative perspective which emphasizes how language is used to convey meaning. It also outlines several form-based perspectives on language including traditional grammar, structural linguistics, and transformational-generative grammar. Finally, it addresses assessing vocabulary, including measuring vocabulary size through word frequency lists and the yes/no format for vocabulary tests.
The document discusses the key concepts of discourse analysis including:
- Language has both transactional and interactional functions
- Spoken and written language differ in their production and use
- Utterances refer to spoken language while sentences refer to written language
- Discourse analysts study natural language use in context to describe regularities rather than rules
- The focus is on language as a dynamic process rather than just the static products of language
Lexicology is the scientific study of words and vocabulary in a language. It examines words' origins, development, and current usage. Lexicology is closely related to other linguistic fields like phonetics, grammar, and stylistics. It studies words as part of a system, while lexicography focuses on individual words for dictionary purposes. There are two main approaches in lexicology - synchronic looks at vocabulary at a point in time, while diachronic examines changes over time. Methods of investigation include observation, classification of facts, generalization of rules, and verification. Contrastive analysis compares vocabulary between languages.
This document discusses customizable segmentation of morphologically derived words in Chinese. It presents a system that can segment words in different ways to meet various user-defined standards. The system represents all morphologically derived words as word trees, where the root nodes are maximal words and leaf nodes are minimal words. Each non-terminal node has a resolution parameter that determines if its daughters are displayed as a single word or separate words. Different segmentations can then be obtained by specifying different combinations of these resolution parameters. This allows a single system to be customized for different segmentation needs.
Week 1 an introduction to the course.pptxzeinebayachi2
This document provides an introduction to applied linguistics. It defines linguistics as the scientific study of language and communication. Applied linguistics involves using linguistic research to solve real-world problems in various fields like education, law, and media. The document outlines key areas of applied linguistics like language teaching and learning, workplace communication, and translation. It also describes the focus of the course, including first language acquisition, the relationship between language and the mind/brain, and individual differences in language use.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
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.
i. The document discusses natural language processing (NLP) and covers the following topics:
- Finding the structure of words including words and their components, issues and challenges, and morphological models.
- Finding the structure of documents including introduction, methods used, complexity of approaches, and performance of approaches.
ii. It describes key NLP concepts like tokens, lexemes, morphemes, and morphological parsing. It also discusses challenges in defining words and their internal structure across different languages.
Phonology is the study of how sounds are organized and used in languages. It examines an inventory of sounds and rules for how they interact, and analyzes sound patterns to determine which sounds are significant for a language. Phonetics studies speech sound production, while phonology analyzes sound patterns and interpretations in a particular language. A phoneme is the smallest meaningful sound unit that distinguishes word meanings. Generative phonology assigns phonetic representations to utterances based on a speaker's internal grammar. Non-linear models like autosegmental and metrical phonology treat representations as multi-dimensional. Lexical phonology accounts for interactions of morphology and phonology in word formation through ordered levels.
This document provides an overview of the study of language or linguistics. It defines language as the means through which humans express thoughts and discusses how language distinguishes humans from other animals. The document then outlines the main branches of linguistic study, including micro linguistics which examines smaller linguistic units like sounds, words, and sentences, and macro linguistics which studies higher-level topics like the social aspects of language and applied uses. It closes by inviting questions.
Syntax is the study of sentence structure and the rules for constructing sentences, while grammar refers more broadly to the rules of a language, including syntax and morphology. Syntax examines what words go where in a sentence and the relationships between them. Grammar sets the standard for correct usage of a language through rules governing areas like agreement between words. Traditional grammar describes syntactic structures through categories like nouns and verbs, while generative grammar aims to provide rules for predicting grammatical sentences in a language.
Language and Culture in intercultural communication.pptxHajajahsj
This document provides an overview of language and culture. It introduces the instructor and teaching team for the course "Language and Culture 2". It then discusses several key topics related to language and culture, including the relationship between language and communication, linguistics, the structure of human language, variations in language, and characteristics of language. Specific linguistic concepts are defined, such as dialects, pidgins, creoles, lingua franca, jargon, and argot. Examples are provided to illustrate these concepts in different country contexts.
Applied linguistics is an interdisciplinary field that identifies and offers solutions to real-world language problems. It utilizes linguistic research to improve practical tasks involving language. Applied linguistics is concerned with language teaching and learning, testing, psycholinguistics, sociolinguistics, discourse analysis, computational linguistics, and translation studies. Over the 20th century, language teaching methods evolved from the grammar translation method to the direct method, audiolingual method, and finally communicative language teaching in response to developments in linguistics, psychology and changes in views about language learning.
Linguistics is the scientific study of human language and its use. It can be divided into several subfields that study language from different perspectives, including descriptive linguistics, which studies particular languages, and general linguistics, which studies language in general. Some key subfields are phonetics, phonology, morphology, syntax, semantics, pragmatics, sociolinguistics, psycholinguistics, and neurolinguistics. Applied linguistics focuses on practical applications of linguistic research.
This document outlines the main branches of linguistics, including theoretical (general) linguistics, descriptive/applied linguistics, micro linguistics, and macro linguistics. Theoretical linguistics is concerned with frameworks for describing languages, concepts and categories, and theories about universal aspects of language. Descriptive and applied linguistics describe data to confirm or refute language theories and apply concepts in areas like language teaching. Micro linguistics takes a narrow view of language structure, while macro linguistics takes a broad view relating language to other sciences and its application in daily life. Specific branches covered include phonetics, phonology, morphology, syntax, semantics, and more.
Discourse Analysis and Language Teaching.pptxnabilovaaa
This document provides an introduction to discourse analysis and its importance. It begins by defining discourse as extended spoken or written communication that considers context, and defines discourse analysis as the systematic study of language in use to understand patterns and meanings. It then discusses several key aspects of discourse analysis, including its focus on both spoken and written language, social and cultural contexts, how meaning is constructed, and issues of power and ideology. Finally, it outlines some important applications of discourse analysis in understanding language and in fields like linguistics, communication studies, sociology, anthropology, and education.
Linguistics can be divided into several branches based on the perspective or focus of study. At the highest level, linguistics is divided into general linguistics, which studies language universally, and descriptive linguistics, which studies specific languages. It is also divided into diachronic linguistics, which studies language change over time, and synchronic linguistics, which analyzes language at a single point in time. Additional distinctions include theoretical vs applied linguistics, and micro- vs macro-linguistics. Micro-linguistics includes the study of phonetics, phonology, morphology, syntax, semantics and pragmatics. Macro-linguistics includes sociolinguistics, psycholinguistics, neu
Historical linguistics full ppp 7th semester.pdfLailaAfridi1
Historical linguistics studies how languages change over time in their sounds, grammar, and vocabulary. It examines the development and relationships between languages. There are two main branches - diachronic linguistics looks at language change historically, while synchronic linguistics examines the structure of a language at a single point in time. Languages undergo various types of changes including sound changes that affect vowels and consonants, as well as grammatical and semantic changes. The study of language change helps us understand how languages are related and have evolved from earlier forms.
Historical linguistics full ppp 7th semester.pdfLailaAfridi1
Historical linguistics studies how languages change over time in their sounds, grammar, and vocabulary. It examines the development and relationships between languages. There are two main branches: diachronic linguistics looks at language change through history, while synchronic linguistics examines the structure of a language at a single point in time. Languages undergo various types of changes including sound changes that affect vowels and consonants, semantic changes that alter word meanings, and grammatical changes involving morphology and syntax. The study of language change helps explain language relationships and how languages have evolved from parent languages over centuries.
Natural Language Processing (NLP) is a field that combines computer science, linguistics, and machine learning to study how computers and humans communicate in natural language. The goal of NLP is for computers to be able to interpret and generate human language. This not only improves the efficiency of work done by humans but also helps in interacting with the machine. NLP bridges the gap of interaction between humans and electronic devices.
Natural Language Processing (NLP) is a subfield of artificial intelligence that deals with the interaction between computers and humans in natural language. It involves the use of computational techniques to process and analyze natural language data, such as text and speech, with the goal of understanding the meaning behind the language.
The document discusses different approaches to analyzing language systems over the last 200 years. It describes how structuralism divided language into parts including phonology, lexis, vocabulary, and grammar. Linguistics then classified language at three levels: phonology, morphology, and syntax. The communicative approach added two more units: situational and functional aspects. The key components are explained as phonology concerning sounds, lexis concerning vocabulary, grammar concerning sentence structure, morphology concerning morphemes and parts of speech, and syntax concerning sentence rules. Situational and functional aspects help understand expression use in different contexts.
The document discusses two main perspectives on assessing grammar: 1) the syntactocentric perspective which focuses on syntax and sentence structure and 2) the communicative perspective which emphasizes how language is used to convey meaning. It also outlines several form-based perspectives on language including traditional grammar, structural linguistics, and transformational-generative grammar. Finally, it addresses assessing vocabulary, including measuring vocabulary size through word frequency lists and the yes/no format for vocabulary tests.
The document discusses the key concepts of discourse analysis including:
- Language has both transactional and interactional functions
- Spoken and written language differ in their production and use
- Utterances refer to spoken language while sentences refer to written language
- Discourse analysts study natural language use in context to describe regularities rather than rules
- The focus is on language as a dynamic process rather than just the static products of language
Lexicology is the scientific study of words and vocabulary in a language. It examines words' origins, development, and current usage. Lexicology is closely related to other linguistic fields like phonetics, grammar, and stylistics. It studies words as part of a system, while lexicography focuses on individual words for dictionary purposes. There are two main approaches in lexicology - synchronic looks at vocabulary at a point in time, while diachronic examines changes over time. Methods of investigation include observation, classification of facts, generalization of rules, and verification. Contrastive analysis compares vocabulary between languages.
This document discusses customizable segmentation of morphologically derived words in Chinese. It presents a system that can segment words in different ways to meet various user-defined standards. The system represents all morphologically derived words as word trees, where the root nodes are maximal words and leaf nodes are minimal words. Each non-terminal node has a resolution parameter that determines if its daughters are displayed as a single word or separate words. Different segmentations can then be obtained by specifying different combinations of these resolution parameters. This allows a single system to be customized for different segmentation needs.
Week 1 an introduction to the course.pptxzeinebayachi2
This document provides an introduction to applied linguistics. It defines linguistics as the scientific study of language and communication. Applied linguistics involves using linguistic research to solve real-world problems in various fields like education, law, and media. The document outlines key areas of applied linguistics like language teaching and learning, workplace communication, and translation. It also describes the focus of the course, including first language acquisition, the relationship between language and the mind/brain, and individual differences in language use.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
“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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Pushing the limits of ePRTC: 100ns holdover for 100 days
certified translation birmingham
1. premiumlinguisticservices.com
Logical Dialectal Analysis in Linguistics
Logical dialectal analysis is a specialized branch of linguistics. It delves
into the unique linguistic features and variations found within different
dialects of a language.
2. premiumlinguisticservices.com
Comparative Analysis
• Compares linguistic
data across dialects.
• Reveals patterns of
change and continuity.
• Provides insights into
language evolution.
• Analyzes word and
phrase variations.
• Documents and studies
dialectal variations.