The document provides an overview of a workshop on producing spoken English interpretations of classifier-based signed texts. The workshop aims to help interpreters understand the notional and functional roles of classifiers in ASL discourse and how English deals with similar concepts. It covers topics like the uses and types of classifiers, pronominals, verbs, modifiers, and additional readings for further understanding classifiers and interpretation. The presentation aims to help interpreters develop strategies for working with classifiers in signed texts.
The Spatial Nature of ASL for Teachers: June 08 UDOEDoug Stringham
Presentation given to the K-12 ASL Teachers section at the 2008 Health Sciences Summer Workshop. Presentation discusses what students learn about ASL when they study its spatial nature and introduces the Axes Hypothesis, what types of information do signers communicate in various spatial axes.
The document discusses different methods of word formation including coinage, blending, and acronyms. Coinage involves creating new words without using other word formation processes, often from nothing. Examples include aspirin and Frisbee. Blending combines parts of multiple words to form a new one, like brunch from breakfast and lunch. Acronyms form words from the initial letters of other words, such as NASA and NATO. Overall, the text provides examples and explanations of various processes for inventing new words and terms in the English language.
This document discusses various processes of word formation in English, including compounding, derivation, blending, clipping, acronyms, novel creations, and respelling. Compounding involves combining two or more root morphemes, while derivation adds affixes to change a word's part of speech. Blending merges parts of two words together. Clipping and acronyms abbreviate words. Novel creations and respelling invent new words without reusing existing parts.
The document provides an overview of the Natural Language Toolkit (NLTK). It discusses that NLTK is a Python library for natural language processing that includes corpora, tokenizers, stemmers, part-of-speech taggers, parsers, and other tools. The document outlines the modules in NLTK and their functionality, such as the nltk.corpus module for corpora, nltk.tokenize and nltk.stem for tokenizers and stemmers, and nltk.tag for part-of-speech tagging. It also provides instructions on installing NLTK and downloading its data.
Modelling involves reproducing the specific mental and physical actions of successful people in order to achieve similar results without needing to spend years learning through trial and error. There is genius within each person, seen in both major accomplishments and smaller successes, and modelling is a way to identify behaviors of high performers in a chosen area of interest. The steps of modelling include identifying an area to excel in, finding three successful people in that domain, determining what they do differently than less successful people, and testing out those practices.
The document describes the dynamic programming algorithm for calculating the edit distance between two strings. It defines edit distance as the minimum number of insertions, deletions or substitutions needed to change one string into the other. The algorithm uses a table c[i,j] to store the edit distance between the prefixes of the two strings x[1..i] and y[1..j], calculating values in the table using a recursive formula until it reaches the final edit distance value c[|x|,|y|].
This document discusses recommendations and similarities in the context of artificial intelligence and machine learning. It describes how to build item-to-item similarity graphs to generate recommendations based on tags or metadata. It also covers techniques for calculating similarities like Jaccard similarity, word embeddings, and document similarity. Finally, it discusses challenges like cold starts, feature engineering, and generating non-personalized recommendations.
The Spatial Nature of ASL for Teachers: June 08 UDOEDoug Stringham
Presentation given to the K-12 ASL Teachers section at the 2008 Health Sciences Summer Workshop. Presentation discusses what students learn about ASL when they study its spatial nature and introduces the Axes Hypothesis, what types of information do signers communicate in various spatial axes.
The document discusses different methods of word formation including coinage, blending, and acronyms. Coinage involves creating new words without using other word formation processes, often from nothing. Examples include aspirin and Frisbee. Blending combines parts of multiple words to form a new one, like brunch from breakfast and lunch. Acronyms form words from the initial letters of other words, such as NASA and NATO. Overall, the text provides examples and explanations of various processes for inventing new words and terms in the English language.
This document discusses various processes of word formation in English, including compounding, derivation, blending, clipping, acronyms, novel creations, and respelling. Compounding involves combining two or more root morphemes, while derivation adds affixes to change a word's part of speech. Blending merges parts of two words together. Clipping and acronyms abbreviate words. Novel creations and respelling invent new words without reusing existing parts.
The document provides an overview of the Natural Language Toolkit (NLTK). It discusses that NLTK is a Python library for natural language processing that includes corpora, tokenizers, stemmers, part-of-speech taggers, parsers, and other tools. The document outlines the modules in NLTK and their functionality, such as the nltk.corpus module for corpora, nltk.tokenize and nltk.stem for tokenizers and stemmers, and nltk.tag for part-of-speech tagging. It also provides instructions on installing NLTK and downloading its data.
Modelling involves reproducing the specific mental and physical actions of successful people in order to achieve similar results without needing to spend years learning through trial and error. There is genius within each person, seen in both major accomplishments and smaller successes, and modelling is a way to identify behaviors of high performers in a chosen area of interest. The steps of modelling include identifying an area to excel in, finding three successful people in that domain, determining what they do differently than less successful people, and testing out those practices.
The document describes the dynamic programming algorithm for calculating the edit distance between two strings. It defines edit distance as the minimum number of insertions, deletions or substitutions needed to change one string into the other. The algorithm uses a table c[i,j] to store the edit distance between the prefixes of the two strings x[1..i] and y[1..j], calculating values in the table using a recursive formula until it reaches the final edit distance value c[|x|,|y|].
This document discusses recommendations and similarities in the context of artificial intelligence and machine learning. It describes how to build item-to-item similarity graphs to generate recommendations based on tags or metadata. It also covers techniques for calculating similarities like Jaccard similarity, word embeddings, and document similarity. Finally, it discusses challenges like cold starts, feature engineering, and generating non-personalized recommendations.
These are the slides from my presentation to the NYC Python Meetup on July 28, 2009. The presentation was an overview of data analysis techniques and various python tools and libraries, along with the practical example (with code and algorithms) of a Twitter spam filter implemented with NLTK.
ElasticSearch - index server used as a document databaseRobert Lujo
Presentation held on 5.10.2014 on http://2014.webcampzg.org/talks/.
Although ElasticSearch (ES) primary purpose is to be used as index/search server, in its featureset ES overlaps with common NoSql database; better to say, document database.
Why this could be interesting and how this could be used effectively?
Talk overview:
- ES - history, background, philosophy, featureset overview, focus on indexing/search features
- short presentation on how to get started - installation, indexing and search/retrieving
- Database should provide following functions: store, search, retrieve -> differences between relational, document and search databases
- it is not unusual to use ES additionally as an document database (store and retrieve)
- an use-case will be presented where ES can be used as a single database in the system (benefits and drawbacks)
- what if a relational database is introduced in previosly demonstrated system (benefits and drawbacks)
ES is a nice and in reality ready-to-use example that can change perspective of development of some type of software systems.
KNN is a simple machine learning algorithm that classifies new data points based on their similarity to existing stored data points. It works by finding the k nearest neighbors of the new data point based on a distance measure and assigning the most common class (for classification) or average value (for regression) of the k nearest neighbors. Though conceptually simple, KNN can solve complex problems with little information needed and no explicit training. However, it requires storing all training data and is sensitive to representation and feature selection.
The document discusses collocations, which are words that are typically used together, such as "tall tree" and "high mountain". It provides examples of collocations using the word "chance", such as "small chance" and "very small chance". The document explains how collocations can be used as a technique in translation, and provides the example of translating the Italian phrase "accendere un mutuo" which collocates to the English phrase "take out a mortgage".
The document discusses natural language processing (NLP), which is a subfield of artificial intelligence that aims to allow computers to understand and interpret human language. It provides an introduction to NLP and its history, describes common areas of NLP research like text processing and machine translation, and discusses potential applications and the future of the field. The document is presented as a slideshow on NLP by an expert in the area.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
These are the slides from my presentation to the NYC Python Meetup on July 28, 2009. The presentation was an overview of data analysis techniques and various python tools and libraries, along with the practical example (with code and algorithms) of a Twitter spam filter implemented with NLTK.
ElasticSearch - index server used as a document databaseRobert Lujo
Presentation held on 5.10.2014 on http://2014.webcampzg.org/talks/.
Although ElasticSearch (ES) primary purpose is to be used as index/search server, in its featureset ES overlaps with common NoSql database; better to say, document database.
Why this could be interesting and how this could be used effectively?
Talk overview:
- ES - history, background, philosophy, featureset overview, focus on indexing/search features
- short presentation on how to get started - installation, indexing and search/retrieving
- Database should provide following functions: store, search, retrieve -> differences between relational, document and search databases
- it is not unusual to use ES additionally as an document database (store and retrieve)
- an use-case will be presented where ES can be used as a single database in the system (benefits and drawbacks)
- what if a relational database is introduced in previosly demonstrated system (benefits and drawbacks)
ES is a nice and in reality ready-to-use example that can change perspective of development of some type of software systems.
KNN is a simple machine learning algorithm that classifies new data points based on their similarity to existing stored data points. It works by finding the k nearest neighbors of the new data point based on a distance measure and assigning the most common class (for classification) or average value (for regression) of the k nearest neighbors. Though conceptually simple, KNN can solve complex problems with little information needed and no explicit training. However, it requires storing all training data and is sensitive to representation and feature selection.
The document discusses collocations, which are words that are typically used together, such as "tall tree" and "high mountain". It provides examples of collocations using the word "chance", such as "small chance" and "very small chance". The document explains how collocations can be used as a technique in translation, and provides the example of translating the Italian phrase "accendere un mutuo" which collocates to the English phrase "take out a mortgage".
The document discusses natural language processing (NLP), which is a subfield of artificial intelligence that aims to allow computers to understand and interpret human language. It provides an introduction to NLP and its history, describes common areas of NLP research like text processing and machine translation, and discusses potential applications and the future of the field. The document is presented as a slideshow on NLP by an expert in the area.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
10. Subject Pronouns
Pronoun English ASL
First person singular I PRO.1
First person plural we WE, TWO-OF-US,
THREE-OF-US…
Second person singular you PRO.2 (singular)
Second person plural you PRO.2 (plural), TWO-OF-
YOU, THREE-OF-YOU…
Third person singular he, she, PRO.3-IX, PRO.3-thumb
it
Third person plural they THEY, TWO-OF-THEM,
THREE-OF-THEM
(Jeff Pollock, 2007)
11. Object Pronouns
Pronoun English ASL
First person singular me PRO.1
First person plural us WE, TWO-OF-US,
THREE-OF-US…
Second person singular you PRO.2 (singular)
Second person plural you PRO.2 (plural), TWO-OF-
YOU, THREE-OF-YOU…
Third person singular him, her, PRO.3-IX, PRO.3-thumb
it
Third person plural them THEM, TWO-OF-THEM,
THREE-OF-THEM
(Jeff Pollock, 2007)
38. Subject Pronouns
Pronoun English ASL
First person singular I PRO.1
First person plural we WE, TWO-OF-US,
THREE-OF-US…
Second person singular you PRO.2 (singular)
Second person plural you PRO.2 (plural), TWO-OF-
YOU, THREE-OF-YOU…
Third person singular he, she, PRO.3-IX, PRO.3-thumb
it
Third person plural they THEY, TWO-OF-THEM,
THREE-OF-THEM
(Jeff Pollock, 2007)
42. Object Pronouns
Pronoun English ASL
First person singular me PRO.1
First person plural us WE, TWO-OF-US,
THREE-OF-US…
Second person singular you PRO.2 (singular)
Second person plural you PRO.2 (plural), TWO-OF-
YOU, THREE-OF-YOU…
Third person singular him, her, PRO.3-IX, PRO.3-thumb
it
Third person plural them THEY, TWO-OF-THEM,
THREE-OF-THEM
(Jeff Pollock, 2007)