Using regular expressions in online langage learning tools to enable learners to identify particular features and provide feedback on the features as necessary, e.g. find errors and provide suggestions on how to rewrite them
This document discusses regular expressions (regex) for pattern matching in text. It covers introductory examples of using regex for tasks like error detection. It then explains probabilistic parsing, rule-based pattern matching, and regex in more detail. Examples are provided for using regex to match parts of speech, proofread text for grammatical errors, and annotate text for pronunciation.
This document outlines several papers on Arabic spell checking techniques. It discusses approaches that use morphological analysis, edit distance, and knowledge bases to detect and correct spelling errors in Arabic text. The techniques detect ill-formed words, semantically incorrect words, missing, incorrect, or extra letters. Evaluations show the approaches achieve over 80% recall and 90% precision on error detection and correction. Later papers propose full spell checking systems but do not report experimental results.
The document discusses object-oriented programming concepts like classes, objects, methods, properties, inheritance, and polymorphism. It provides examples of different OOP concepts in C# like class definitions, object creation, method overloading, and inheritance hierarchies. The key topics covered include defining classes with data members and methods, creating objects from classes, using inheritance to extend classes, and implementing polymorphism through method overloading and overriding.
The document discusses several approaches to Arabic spell checking. It begins by outlining common Arabic spelling errors and then summarizes seven different approaches: 1) a stochastic approach focusing on space insertions and deletions, 2) a Prolog-based approach detecting errors and offering corrections, 3) an approach using n-gram scores and a matrix method, 4) generating an Arabic word list for error detection and language modeling, 5) a system with error detection and correction components using a dictionary and error model, 6) improving this system by enhancing the dictionary and candidate generation, and 7) concluding that the results are promising but there is still room for improvement.
This document discusses object-oriented programming (OOP) and the need for OOP. It describes the limitations of procedural languages, including unrestricted access to global data and a poor model of real-world objects. OOP combines data and functions into objects, addressing these issues. Key characteristics of OOP include objects, classes, inheritance, and reusability. Classes can be derived from existing classes without modifying them, allowing code to be reused.
This document discusses naming conventions and data types in Java. It provides guidelines for naming classes, methods, variables and packages using camel case and other conventions. It also describes the different primitive and non-primitive data types in Java like integer, floating point, character, boolean, and object reference types. Local, instance, and static variables are explained. The document also covers the different types of literals in Java including integer, floating point, character, string, and boolean literals.
This document provides an overview of object-oriented programming (OOP) concepts including classes, objects, encapsulation, inheritance, polymorphism, and relationships between objects. It compares OOP to structured programming and outlines the benefits of OOP such as reusability, extensibility, and maintainability. Key OOP features like encapsulation, inheritance, polymorphism, and relationships are explained in detail. The document also introduces the Unified Modeling Language (UML) as a standard language for visualizing and modeling software systems using OOP concepts.
What is pattern recognition (lecture 3 of 6)Randa Elanwar
ย
In this series I intend to simplify a beautiful branch of computer science that we as humans use it in everyday life without knowing. Pattern recognition is a sub-branch of the computer vision research and is tightly related to digital signal processing research as well as machine learning and artificial intelligence.
This document discusses regular expressions (regex) for pattern matching in text. It covers introductory examples of using regex for tasks like error detection. It then explains probabilistic parsing, rule-based pattern matching, and regex in more detail. Examples are provided for using regex to match parts of speech, proofread text for grammatical errors, and annotate text for pronunciation.
This document outlines several papers on Arabic spell checking techniques. It discusses approaches that use morphological analysis, edit distance, and knowledge bases to detect and correct spelling errors in Arabic text. The techniques detect ill-formed words, semantically incorrect words, missing, incorrect, or extra letters. Evaluations show the approaches achieve over 80% recall and 90% precision on error detection and correction. Later papers propose full spell checking systems but do not report experimental results.
The document discusses object-oriented programming concepts like classes, objects, methods, properties, inheritance, and polymorphism. It provides examples of different OOP concepts in C# like class definitions, object creation, method overloading, and inheritance hierarchies. The key topics covered include defining classes with data members and methods, creating objects from classes, using inheritance to extend classes, and implementing polymorphism through method overloading and overriding.
The document discusses several approaches to Arabic spell checking. It begins by outlining common Arabic spelling errors and then summarizes seven different approaches: 1) a stochastic approach focusing on space insertions and deletions, 2) a Prolog-based approach detecting errors and offering corrections, 3) an approach using n-gram scores and a matrix method, 4) generating an Arabic word list for error detection and language modeling, 5) a system with error detection and correction components using a dictionary and error model, 6) improving this system by enhancing the dictionary and candidate generation, and 7) concluding that the results are promising but there is still room for improvement.
This document discusses object-oriented programming (OOP) and the need for OOP. It describes the limitations of procedural languages, including unrestricted access to global data and a poor model of real-world objects. OOP combines data and functions into objects, addressing these issues. Key characteristics of OOP include objects, classes, inheritance, and reusability. Classes can be derived from existing classes without modifying them, allowing code to be reused.
This document discusses naming conventions and data types in Java. It provides guidelines for naming classes, methods, variables and packages using camel case and other conventions. It also describes the different primitive and non-primitive data types in Java like integer, floating point, character, boolean, and object reference types. Local, instance, and static variables are explained. The document also covers the different types of literals in Java including integer, floating point, character, string, and boolean literals.
This document provides an overview of object-oriented programming (OOP) concepts including classes, objects, encapsulation, inheritance, polymorphism, and relationships between objects. It compares OOP to structured programming and outlines the benefits of OOP such as reusability, extensibility, and maintainability. Key OOP features like encapsulation, inheritance, polymorphism, and relationships are explained in detail. The document also introduces the Unified Modeling Language (UML) as a standard language for visualizing and modeling software systems using OOP concepts.
What is pattern recognition (lecture 3 of 6)Randa Elanwar
ย
In this series I intend to simplify a beautiful branch of computer science that we as humans use it in everyday life without knowing. Pattern recognition is a sub-branch of the computer vision research and is tightly related to digital signal processing research as well as machine learning and artificial intelligence.
Top 5 Reasons European companies keep outsourcing IT servicesCedric Brusselmans
ย
Many politicians have fought the outsourcing of services and manufacturing. Furthermore, unemployment is high in the Western world, especially in Europe. Still IT services outsourcing and BPO represent a US$ 952 billion market. And it keeps growing. Why?
This 16-page document gives a (very) high-level overview of the top 5 reasons pushing companies especially in Europe to keep outsourcing.
What do you think - is it good, bad, just a natural consequence of globalization?
Feel free to react and share your thoughts.
This document provides instructions for setting up a Money Bomb fundraising tool using three payment options: offline mode which is free, direct credit card/piggy bank purchase, or deducting the fee from funds raised. It outlines how to brand, preview, and activate the Money Bomb widget by agreeing to a $295 fee deduction. Admins can then copy the script to websites or install the Money Bomb app on their organization's Facebook page to begin fundraising.
Los aรฑos 60 fueron la dรฉcada dorada del rock and roll, con gรฉneros como el rock britรกnico y el soul estadounidense alcanzando gran popularidad. Grupos emblemรกticos como The Beatles, The Rolling Stones y Motown Records revolucionaron la mรบsica y cultura de la รฉpoca. El rock se expandiรณ a nivel mundial a travรฉs de festivales musicales y nuevos subgรฉneros surgieron tanto en Europa como en Amรฉrica del Norte.
Este documento resume los antecedentes y desarrollo de la Primera Guerra Mundial, incluyendo las alianzas previas entre las potencias europeas, los frentes de batalla en el este y el oeste, el uso de submarinos por Alemania, la tregua de Navidad de 1914 entre soldados britรกnicos y alemanes en las trincheras, y la Revoluciรณn Rusa de 1917 que sacรณ a Rusia de la guerra.
MediaWhiz POV: Conversion Optimization for Lead-gen PathsMatomy Media Group
ย
MediaWhiz SVP Jeremy Leonard details conversion optimization for lead-gen paths. At a presentation given at Conversion Conference Oct. 9, 2012, in Fort Lauderdale, Fla., Leonard explains how digital and performance marketers can generate efficient and cost-effective conversions with an eye toward quality and sustainability.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
This document outlines a materials design for a political science reading comprehension course. It discusses selecting a text about the origins and evolution of democracy from MIT open courseware. The text is elaborated to make it clearer and more explicit. Pre-reading, while-reading, and post-reading activities are proposed to help students build background knowledge, understand the macrostructure and microstructure, and continue discussion. The materials aim to tap into students' knowledge, lead to discussion, and foster curiosity to read more.
51 ways to reduce your out-of-class markingjohn6938
ย
John Blake from the Japan Advanced Institute of Science and Technology presented 51 strategies for reducing time spent on marking student assignments. The strategies are divided into operational, quality control, feedback, and avoidance categories. Some examples include having students submit assignments in pairs or groups, using strict word limits, providing assignment templates and models, checking work in class, using technology like track changes and comment functions, investing time upfront to create reusable feedback materials, and attempting to avoid marking assignments whenever possible. The overall goal is to streamline the marking process and provide feedback to students in a more efficient manner.
Pune OpenCoffee Club, an Introduction (2014)Santosh Dawara
ย
Since 2008, the Pune OpenCoffee Club has been bringing startup founders together through events and community. Here's a short introduction to our activities and an invitation to get involved.
Winning - I am not designed to finish 2nd or 3rdJonathan Hartley
ย
How to achieve your goals and objectives. Look at the year as 12 sections and approach every one with the same amount of enthusiasm and effort to achieve your sales targets and goals
El documento proporciona instrucciones en 4 pasos para personalizar la barra de tareas en Windows: 1) agregar 5 accesos directos fijos, 2) cambiar la configuraciรณn de hora y fecha, 3) abrir 10 documentos de Word para ver el agrupamiento, y 4) ampliar el tamaรฑo de los iconos.
This blog post discusses the importance of having a clear strategy and plan, as exemplified by the Battle of Waterloo. It notes that both Wellington and Napoleon had strategies for the battle, but Napoleon lost because he stayed behind the lines and was not aware of how the battle was unfolding, unlike Wellington who remained with his soldiers. The post stresses that for businesses to succeed, they need an appropriate plan or strategy to guide the team's actions, just as Wellington knew each soldier's role in achieving the overall strategy through his plan. It concludes by drawing a parallel to instruction manuals, emphasizing the importance of having a plan and revising it regularly to achieve goals.
Corporate social responsibility (CSR) involves self-regulation by businesses to integrate social and environmental concerns into their operations and interactions with stakeholders. CSR participants include owners, shareholders, and local governments. CSR aims to balance economic, ecological, and social impacts as a way to profit businesses, compensate for state inefficiencies, and remedy violations of natural rights through continuous reputation-building activities. Businesses take different approaches to organizing CSR such as independent programs, own funds, or solutions developed through collaboration.
This document provides an introduction to object-oriented programming concepts in C++ including classes, attributes, methods, constructors, destructors, operators, and access modifiers. It also lists some example problems solved in C++ using these concepts like classes for messages, circles, and machine epsilon. Exercises proposed include creating classes for spheres and counting triangles from random point data.
Determining The Barriers Faced By Novice ProgrammersWaqas Tariq
ย
Most of the novice programmers find glitches at various phases while trying to complete a program in their Computer Science programming course. These phases can be while constructing the code, finding errors in the code at the time of compilation of the program, debugging these errors while executing the program. Novice programmers are unable to understand some of the concepts in programming. Computer Science programming course instructors are experiencing difficulty in finding these barriers faced by the students. These barriers are forcing students to drop programming course from their degree plan and becoming a concern to the professors teaching programming course. In this research ActivePresenter software is used. This software recorded the full motion video with crystal clear quality and helped in capturing screen shots automatically with a click of a mouse or pressing any key in the keyboard of the students who are trying to complete a programming assignment. By analyzing all the recordings collected from different students, these barriers are determined.
This document describes a pilot study conducted to involve software engineering students in free and open source software (F/OSS) projects. The study implemented a F/OSS teaching and learning framework where students tested F/OSS projects over 12 weeks. Students found and reported bugs, and presented their testing activities. Student participation was evaluated using statistical analysis of testing data and online surveys. The framework provided students with practical software testing experience but had some challenges around specialization, collaboration, and evaluation. Lessons learned include benefits of flexible schedules and learning opportunities, as well as difficulties with communication and project management.
Top 5 Reasons European companies keep outsourcing IT servicesCedric Brusselmans
ย
Many politicians have fought the outsourcing of services and manufacturing. Furthermore, unemployment is high in the Western world, especially in Europe. Still IT services outsourcing and BPO represent a US$ 952 billion market. And it keeps growing. Why?
This 16-page document gives a (very) high-level overview of the top 5 reasons pushing companies especially in Europe to keep outsourcing.
What do you think - is it good, bad, just a natural consequence of globalization?
Feel free to react and share your thoughts.
This document provides instructions for setting up a Money Bomb fundraising tool using three payment options: offline mode which is free, direct credit card/piggy bank purchase, or deducting the fee from funds raised. It outlines how to brand, preview, and activate the Money Bomb widget by agreeing to a $295 fee deduction. Admins can then copy the script to websites or install the Money Bomb app on their organization's Facebook page to begin fundraising.
Los aรฑos 60 fueron la dรฉcada dorada del rock and roll, con gรฉneros como el rock britรกnico y el soul estadounidense alcanzando gran popularidad. Grupos emblemรกticos como The Beatles, The Rolling Stones y Motown Records revolucionaron la mรบsica y cultura de la รฉpoca. El rock se expandiรณ a nivel mundial a travรฉs de festivales musicales y nuevos subgรฉneros surgieron tanto en Europa como en Amรฉrica del Norte.
Este documento resume los antecedentes y desarrollo de la Primera Guerra Mundial, incluyendo las alianzas previas entre las potencias europeas, los frentes de batalla en el este y el oeste, el uso de submarinos por Alemania, la tregua de Navidad de 1914 entre soldados britรกnicos y alemanes en las trincheras, y la Revoluciรณn Rusa de 1917 que sacรณ a Rusia de la guerra.
MediaWhiz POV: Conversion Optimization for Lead-gen PathsMatomy Media Group
ย
MediaWhiz SVP Jeremy Leonard details conversion optimization for lead-gen paths. At a presentation given at Conversion Conference Oct. 9, 2012, in Fort Lauderdale, Fla., Leonard explains how digital and performance marketers can generate efficient and cost-effective conversions with an eye toward quality and sustainability.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
This document outlines a materials design for a political science reading comprehension course. It discusses selecting a text about the origins and evolution of democracy from MIT open courseware. The text is elaborated to make it clearer and more explicit. Pre-reading, while-reading, and post-reading activities are proposed to help students build background knowledge, understand the macrostructure and microstructure, and continue discussion. The materials aim to tap into students' knowledge, lead to discussion, and foster curiosity to read more.
51 ways to reduce your out-of-class markingjohn6938
ย
John Blake from the Japan Advanced Institute of Science and Technology presented 51 strategies for reducing time spent on marking student assignments. The strategies are divided into operational, quality control, feedback, and avoidance categories. Some examples include having students submit assignments in pairs or groups, using strict word limits, providing assignment templates and models, checking work in class, using technology like track changes and comment functions, investing time upfront to create reusable feedback materials, and attempting to avoid marking assignments whenever possible. The overall goal is to streamline the marking process and provide feedback to students in a more efficient manner.
Pune OpenCoffee Club, an Introduction (2014)Santosh Dawara
ย
Since 2008, the Pune OpenCoffee Club has been bringing startup founders together through events and community. Here's a short introduction to our activities and an invitation to get involved.
Winning - I am not designed to finish 2nd or 3rdJonathan Hartley
ย
How to achieve your goals and objectives. Look at the year as 12 sections and approach every one with the same amount of enthusiasm and effort to achieve your sales targets and goals
El documento proporciona instrucciones en 4 pasos para personalizar la barra de tareas en Windows: 1) agregar 5 accesos directos fijos, 2) cambiar la configuraciรณn de hora y fecha, 3) abrir 10 documentos de Word para ver el agrupamiento, y 4) ampliar el tamaรฑo de los iconos.
This blog post discusses the importance of having a clear strategy and plan, as exemplified by the Battle of Waterloo. It notes that both Wellington and Napoleon had strategies for the battle, but Napoleon lost because he stayed behind the lines and was not aware of how the battle was unfolding, unlike Wellington who remained with his soldiers. The post stresses that for businesses to succeed, they need an appropriate plan or strategy to guide the team's actions, just as Wellington knew each soldier's role in achieving the overall strategy through his plan. It concludes by drawing a parallel to instruction manuals, emphasizing the importance of having a plan and revising it regularly to achieve goals.
Corporate social responsibility (CSR) involves self-regulation by businesses to integrate social and environmental concerns into their operations and interactions with stakeholders. CSR participants include owners, shareholders, and local governments. CSR aims to balance economic, ecological, and social impacts as a way to profit businesses, compensate for state inefficiencies, and remedy violations of natural rights through continuous reputation-building activities. Businesses take different approaches to organizing CSR such as independent programs, own funds, or solutions developed through collaboration.
This document provides an introduction to object-oriented programming concepts in C++ including classes, attributes, methods, constructors, destructors, operators, and access modifiers. It also lists some example problems solved in C++ using these concepts like classes for messages, circles, and machine epsilon. Exercises proposed include creating classes for spheres and counting triangles from random point data.
Determining The Barriers Faced By Novice ProgrammersWaqas Tariq
ย
Most of the novice programmers find glitches at various phases while trying to complete a program in their Computer Science programming course. These phases can be while constructing the code, finding errors in the code at the time of compilation of the program, debugging these errors while executing the program. Novice programmers are unable to understand some of the concepts in programming. Computer Science programming course instructors are experiencing difficulty in finding these barriers faced by the students. These barriers are forcing students to drop programming course from their degree plan and becoming a concern to the professors teaching programming course. In this research ActivePresenter software is used. This software recorded the full motion video with crystal clear quality and helped in capturing screen shots automatically with a click of a mouse or pressing any key in the keyboard of the students who are trying to complete a programming assignment. By analyzing all the recordings collected from different students, these barriers are determined.
This document describes a pilot study conducted to involve software engineering students in free and open source software (F/OSS) projects. The study implemented a F/OSS teaching and learning framework where students tested F/OSS projects over 12 weeks. Students found and reported bugs, and presented their testing activities. Student participation was evaluated using statistical analysis of testing data and online surveys. The framework provided students with practical software testing experience but had some challenges around specialization, collaboration, and evaluation. Lessons learned include benefits of flexible schedules and learning opportunities, as well as difficulties with communication and project management.
The document describes plans to revise instruction on adding fractions with unlike denominators based on formative assessment results. Key revisions include:
1) Providing more opportunities for students to model and manipulate fractions into simplest form using concrete models and drawings before using the abstract process.
2) Giving targeted small group instruction to help students visualize how finding the greatest common factor simplifies a fraction.
3) Analyzing pre- and post-test results and practice problems to identify weaknesses and tailor remedial instruction accordingly.
This document provides an overview of math activities and resources for migrating to the Common Core Standards and College and Career Readiness Standards for Adult Education. It discusses the key differences between the Common Core State Standards, College and Career Readiness Standards for Alabama, and standards for adult education. The presentation then outlines various math activities that cover topics like fractions, geometry, functions, equations, and more. Resources for teachers and students are also listed.
Organization strategies to increase development productivityAaron Grant
ย
Organization Strategies to Increase Development Productivity discusses how to increase productivity through a student worker program. It outlines how the speaker's team at Oakland University hired and trained student workers to take on development work. Key aspects included identifying mentors, varying work tasks, setting expectations, and involving students in open source contributions. When implemented well, the student program provides hands-on learning opportunities for students and additional development capacity for the organization. One student speaker discussed his positive experience in the program, where he gained real-world skills while having a flexible work schedule around his classes.
This web quest asks 10th grade biology students to research different North American biomes and recommend one for reintroducing the fictional species "SpatulaTankWhozit". Students gather data on temperature, rainfall, plants and characteristics of temperate grassland, forest, alpine and taiga biomes. They organize the data and learn about the species. Using facts from their research, students create a PowerPoint and written recommendation to the North American Species Reintroduction Society on which biome is best for the species.
This document provides instructions for a web quest assignment on biomes for 10th grade biology students. Students are tasked with researching different biomes, organizing the data, learning about a fictional species, and making a recommendation on which biome to reintroduce the species. They will complete excel sheets, a PowerPoint presentation, and paragraphs justifying their conclusion. The assignment is designed to teach students about biomes and scientific processes like gathering evidence and drawing conclusions.
Machine learning ppt
college presentation on Machine Learning Programming releated them. explain each and every Point in detail so. thats why they are easily to explain in the
This document proposes a Machine Learning Approach to Programming (MLAP) where programs are aware of their own design and functionality. Each class in an object-oriented program would contain information about itself encoded as attributes. This would allow the program to learn from usage, fix errors autonomously using an explanation-based learning engine and knowledge base, and optimize based on user preferences to provide a better experience. The approach aims to speed up development and error fixing but may increase memory usage and costs. The project is still in the implementation stage.
The document provides guidance on solving physics problems using a general 5-step strategy and the KUDOS method for word problems. It begins with an overview of the learning objectives which are to learn a general problem-solving technique, how to solve word problems, how to prepare for exams, and tips for taking exams. Examples then demonstrate applying the 5-step general strategy and the KUDOS (Known, Unknown, Definitions, Output, Substantiate) method to solve sample physics problems step-by-step. The strategies provide a systematic approach to breaking down problems and connecting known information to unknowns through definitions and equations.
The document provides guidance on solving physics problems using a general 5-step strategy and the KUDOS method for word problems. It begins with an overview of the learning objectives which are to learn a general problem-solving technique, how to solve word problems, how to prepare for exams, and tips for taking exams. Examples then demonstrate applying the 5-step general strategy and the KUDOS (Known, Unknown, Definitions, Output, Substantiate) method to sample physics word problems.
This document discusses how to effectively use e-asTTle, an online formative assessment tool, to promote learning. It addresses common misperceptions about testing and how e-asTTle challenges traditional approaches. Teachers are encouraged to create tests at appropriate difficulty levels for students and to use test results to identify strengths, gaps, and areas for further teaching to better inform student learning.
This document discusses how to effectively use e-asTTle, an online formative assessment tool, to promote student learning. It addresses common misperceptions about testing and provides guidance on interpreting student test results to inform teaching. E-asTTle can be used to create appropriate tests, understand student performance, and target support. The document emphasizes that e-asTTle should provide challenging tests to reveal student strengths and gaps, and that results indicate a student's ability rather than just the number of questions correct.
For more course tutorials visit
www.newtonhelp.com
Curve-fitting Project - Linear Regression Model
A. Summary For this assignment you will be collecting data which exhibits a relatively linear trend, finding the line of best fit, plotting the data and the line, interpreting the slope, and using the linear equation to make
This summary provides an overview of two units on language testing and assessment:
Unit B4 discusses test specification design, including elements that should be included like samples and guiding language. It also examines the distinction between prompt and response attributes.
Unit C4 focuses on how test specifications evolve over time. It provides examples of a role-play assessment and how the scoring criteria and use of written plans changed between versions as instructors debated and tested the requirements. The unit proposes applying a reverse engineering workshop to critically analyze existing test tasks and improve testing practices.
Combining General and Genre-Specific Approaches to L2 Writing Instructionguest05424
ย
The document discusses teaching writing abstracts to Japanese university students. It argues that abstract writing instruction should not only focus on genre-specific patterns but also general discourse patterns that are common across genres. The document illustrates how move analysis can be combined with discourse relational analysis to analyze both the specific structure of abstracts and their relationship to broader text structures.
1) The document discusses object-oriented programming paradigms and how objects contain methods that define the actions that can be performed on that object. It gives examples like a file object containing methods for printing, copying, and deleting.
2) It explains that classes are used to define common methods for groups of similar objects, like all file objects.
3) Methods function similarly to functions in procedural languages but are contained within objects. Some example object-oriented languages mentioned are Java and C++.
This Presentation is for project work which will work on the "FACE DETECTION USING MATLAB".
This presentation will be prepared on the practical basis instead of theoretical knowledge. So result may vary on the basis of your practical work.
This Presentation is of standard format which is also beneficial for the engineering student for project work.
Ashwini Panchal is seeking a challenging career in the IT industry utilizing her 3.1 years of experience in IT and 2.1 years of experience in SAP Basis. She has extensive skills in SAP Basis, Netweaver, ECC 6.0 and above, Oracle, and working on Windows and Linux platforms. She holds an M.Sc. in Mathematics and Scientific Computing and has worked on projects at Infosys, ADP, and Compliance Solution Center.
Similar to Pedagogic application of regular expressions (20)
Social media has changed communication but also raises ethical issues around privacy, misinformation, and mental health. Key debates focus on balancing free speech against harmful content. Filter bubbles and confirmation bias can limit exposure to diverse views through algorithms that amplify aligned content. Disinformation spreads for political and financial gain using bots, fake accounts and doctored content, undermining trust and democracy. Hate speech and cyberbullying on platforms can seriously impact mental health.
The document discusses several issues relating to the future of information ethics, including privacy, surveillance, algorithmic bias, intellectual property, globalization, and augmentation. Specifically, it addresses the need for individuals to have control over their personal data and consent to its use (privacy), the debate around balancing privacy rights with security interests behind surveillance practices, how algorithms can perpetuate inequality if not designed carefully, balancing copyright with open-source licensing, challenges of cross-border data flows, and both current and future ethical challenges relating to new technologies.
Bioethics examines ethical issues arising from advances in biology and medicine. It focuses on topics like abortion, euthanasia, genetic testing, and human experimentation. Bioethics also explores the duties of health professionals and aims to protect vulnerable groups. It provides a framework for complex moral issues in healthcare. Key events in bioethics history include the first test-tube baby in 1978 and gene-edited children in 2018. U.S. laws like HIPAA and the Common Rule aim to protect privacy and informed consent while international guidelines promote human dignity. Autonomy, beneficence, and justice are important principles in bioethical decision making.
This document discusses the ethics of surveillance and security. It covers various ethical approaches, security concepts, types of surveillance, hacking techniques, legal frameworks, privacy concepts, stakeholders, social factors, and ethical dilemmas related to information security and privacy. Key topics include utilitarianism, deontology, virtue ethics, rights-based ethics, social contract theory, encryption, firewalls, intrusion detection, authentication, CCTV, data mining, internet monitoring, wiretapping, facial recognition, penetration testing, social engineering, phishing, vulnerability assessments, GDPR, CFAA, FISMA, the right to be forgotten, consent decrees, anonymity, data minimization, opt-in vs opt-out, information lifec
The document describes 4 different expert systems proposed by different teams to identify the author of an email. Each system analyzes word frequency, keyword frequency, and part-of-speech patterns after keywords in known and questioned texts to determine the author. The systems compare feature vectors representing writing style extracted from the texts to identify or verify the author.
The police collected 4 datasets of emails - 2 from Debbie before and after marriage, 1 from Jamie, and 1 large reference collection. They analyzed the datasets using linguistic analysis of word frequencies, keywords that occur more than expected, and patterns around keywords. Comparing these linguistic features across the datasets could determine if the same person wrote the questioned and known datasets.
The document discusses using an expert system to analyze linguistic patterns in written documents. It describes using an expert system to analyze a threatening email and other emails from a suspect's computer to identify similarities in word frequencies, keywords, and keyword order that could indicate the suspect authored the threatening email. The system would analyze the questioned, known, and reference documents to generate shared word frequency, keyword frequency, and keyword positional lists to help determine authorship.
Barcodes and image recognition technology are examples of machine-readable representations of data. Barcodes use a pattern of bars and spaces that can be read by optical scanners to identify numbers and letters. Image recognition allows computers to identify objects in images through techniques like deep learning, which automatically extracts features from image data. Face recognition is a type of image recognition that extracts features from facial images and compares them to identify individuals, using algorithms like ResNet that represent faces as vectors and compare their Euclidean distances.
There are many sorting algorithms that can sort a list of numbers in ascending or descending order. Some common sorting algorithms include bubble sort, merge sort, and quicksort. Bubble sort has a computational complexity of O(n2) while merge sort and quicksort have better complexities of O(n log n). Stack and queue are abstract data types - stack follows LIFO (Last In First Out) while queue follows FIFO (First In First Out). Stack adds and removes elements from the top of the data structure, while queue adds to the tail and removes from the head.
Edge AI allows devices like self-driving cars to make decisions immediately using on-device processing rather than cloud-based processing, which introduces latency. Edge AI processes data and inferences locally on IoT and sensor devices. This enables applications like self-driving cars using computer vision to detect humans and stop in real-time. While Edge AI provides benefits like lower latency, security, and data privacy, it also faces limitations in processing power and operational complexity compared to cloud-based AI.
The document describes how to generate and review images using machine learning. To generate images, a model learns from original images, searches topics to generate new images on, and iterates generating and scoring images until a threshold is passed. To review generated images, both input and generated images are disassembled into pixels, quantified by color, analyzed for tendencies, which are then compared between input and generated images to find the generated image most similar to the original tendencies.
Computer graphics refers to images and figures created using a computer. There are two main types: 2D computer graphics, which are two-dimensional images, and 3D computer graphics, which create three-dimensional virtual spaces and objects. Creating 3D computer graphics involves several steps: modeling virtual objects, adding textures, rigging for movement, lighting, animation, and rendering to convert the 3D scene to a 2D image. A challenge with creating realistic human figures with 3D computer graphics is the "uncanny valley" effect, where figures that are almost but not perfectly realistic can appear creepy. Advances in technology now allow for highly realistic 3D computer graphics that avoid this effect.
The document discusses information security and protecting personal information. It defines information security as ensuring the confidentiality, integrity, and availability of information. Confidentiality means only authorized individuals can access information. Integrity means information has not been altered or destroyed. Availability means authorized individuals have access to information when needed without interruption. Security measures help protect against potential harm from others by restricting what others can do. However, security has weaknesses that can be exploited.
Gravitational wave detection and denoising algorithm uses machine learning to classify and filter noise from gravitational wave data. There are 22 main types of noise that can be identified using supervised and unsupervised learning algorithms. Unsupervised learning allows the computer to classify noise types on its own by finding inherent groupings or clusters in the data, while supervised learning uses labeled examples to efficiently perform classifications. The proposed method uses a variational autoencoder and invariant information clustering to learn features from spectrogram images of transient noise and then classify the noise types based on the learned features.
This document discusses key considerations for designing real-time embedded systems to ensure predictability and avoid failure. It identifies four main problems: whether the architecture is suitable, if link speeds are adequate, if processing components are powerful enough, and if the operating system is suitable. For each problem, it provides details on how to evaluate them and ensure real-time requirements are met, such as keeping CPU and link utilization below 50% and using an RTOS with preemptive scheduling and low interrupt latency and scheduling variance.
Python is the most widely used programming language in the world due to its simple syntax, wide platform support, and ease of use. It can be learned by both professionals and students. A survey by Stack Overflow found incredible growth in the number of visitors to Python questions on the site. Lisp is one of the oldest high-level programming languages still in use, known for its extensive use of parentheses in code. It was influential in the development of artificial intelligence. R is a programming language and software environment for statistical analysis and graphics. It provides many statistical and graphical techniques and is highly extensible.
Quantum computers can solve problems in hours that would take classical computers over 100 million years by leveraging the quantum state of superposition where multiple states exist simultaneously. Specifically, quantum computers could crack RSA encryption, which normally takes over 100 million years on classical computers, in just a few hours by applying this quantum superposition property.
Neural networks like artificial neural networks (ANNs) and long short-term memory (LSTM) networks are commonly used in machine translation systems. ANNs mimic the human brain by recognizing relationships in vast amounts of data, similar to neural connections in the brain. The field of machine translation began in the 1950s with rule-based machine translation (RBMT) relying on linguistic rules and dictionaries. Statistical machine translation (SMT) developed in the late 1970s and analyzed existing human translations. More recently, neural machine translation (NMT) introduced in the last decade learns from each translation to improve. LSTM is a type of RNN with feedback connections that can process entire sequences of data over time and is well-suited for classifying
SLAM is a technology that uses sensors to allow objects like vehicles to simultaneously map their environment and locate themselves within it. It utilizes sensors such as LiDAR and cameras to create maps without relying on GPS. LiDAR SLAM is particularly accurate and commonly used for automated driving as LiDAR can measure distance and shape using reflected laser time.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
ย
(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
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The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
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Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
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The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
3. Probabilistic parsing
03
โข Dynamic algorithms
โข Machine learning
โข Training sets
(e.g. Stanford POS parser)
Extremely powerful, but
requires significant knowledge
of computational linguistics and
huge time investment soโฆ
4. Rule-based pattern matching
04
1. There is a man on your left. T / F
If true, a man is on your left. Stop.
If false, proceed to 2.
2. There is a woman on your left. T / F
If true, there is a woman on your left. Stop.
If false, there is nobody on your left. Stop.
True/false statements
5. Rule-based pattern matching
05
Decision-tree algorithm
There is a man on your left.
There is a woman on your left.
No.Yes. STOP
Yes. STOP No.
There is nobody on your left. STOP
Assumptions:
1. Only adults are present
2. There is no third gender
6. Rule-based pattern matching
06
There is a man. /bmanb/;
There is a woman. /bwomanb/;
Regular expressions (regexp|regex)
The discrete words โmanโ and โwomanโ will
be identified, generating a โtrueโ result.
7. Regular expressions (Regex)
07
e.g. /bmaybeb/gi;
โ escape (from normal characters)
i โ case insensitive
b โ boundary
g โ greedy
1. I think that maybe he can understand. T/F
2. He may be able to understand T/F
3. Maybe, he can understand. T/F
4. Maybelline is a company name. T/F
5. Maybe, he said maybe. T/F
8. Pedagogic applications
08
Modality detector
Online error detectors
- Common error detector (Morrall, 2000-14)
- Corpus-based error detector (Blake, 2012-15)
Other applications
- Annotation highlighter
- Ideas for pronunciation, grammar and vocab
10. 10
Tentative language
& approximation
Type Examples
Modal verbs may, might, would, can
Lexical verbs seem, appear, suggest
Modal adverbs perhaps, probably, possibly,
Modal adjectives probable, possible, uncertain
Modal nouns assumption, claim, possibility
# Approximation
49% Almost a half, nearly 50%, less than 1 in 2
App. 1
11. 11
Material mismatch
Students from different faculties studying
tentative language (hedging) and
approximation in academic writing use
generic materials prepared by teacher.
App. 1
12. 12
Lack of face validity
Some students do not want to โwaste
timeโ dealing with materials not
appropriate to their major. They expect
materials tailored to their exact needs.
App. 1
16. 16
Piles of unmarked homework
Responding to written work takes too
much time, and is repetitive since many
students make the same surface-level
mistakes.
App. 2
17. 17
No time to respond
Teachers are expected to:
โข Identify the location of errors
โข Explain the errors (if necessary)
โข Correct the errors (if necessary)
All of which take lots of time.
App. 2
18. 18
Solution: Error detector
Identification
Student inputs own work
Regex identifies expected errors
Explanation
Execute command selects and displays
prepared explanation
Correction
Student corrects work and submits
improved version
App. 2
19. 19
Error classification
App. 2
Type Description
Accuracy factual and language errors
Brevity too many words
Clarity vague or ambiguous terms
Objectivity emotive language
Formality abbreviations, contractions, &
informal terms
An ethnographic survey of the literature on writing scientific research articles
revealed five key criteria (Blake & Blake, 2015)
21. 21
Specific example
Error
โข One of the + singular noun
Regex
โข /bone of theb/gi;
Execute
โข Check that the phrase one of the
is followed by a plural noun
App. 2
23. 23
Difficult-to-read tags
Introduction Purpose Method Results Discussion
<segment features='problem;introduction;rhetorical_moves' state='active'>We
address the problem of model-based object recognition.</segment> <segment
features='purpose;rhetorical_moves' state='active'>Our aim is to localize and
recognize road vehicles from monocular images or videos in calibrated traffic
scenes.</segment> <segment features='method;rhetorical_moves' state='active'>A
3-D deformable vehicle model with 12 shape parameters is set up as prior
information, and its pose is determined by three parameters, which are its position
on the ground plane and its orientation about the vertical axis under ground-plane
constraints.</segment> <segment features='purpose;rhetorical_moves'
state='active'>An efficient local gradient-based method is proposed to evaluate the
fitness between the projection of the vehicle model and image data, which is
combined into a novel evolutionary computing framework to estimate the 12 shape
parameters and three pose parameters by iterative evolution.</segment> <segment
features='background;introduction;rhetorical_moves' state='active'>The recovery of
pose parameters achieves vehicle localization, whereas the shape parameters are
used for vehicle recognition.</segment> <segment
features='method;rhetorical_moves' state='active'>Numerous experiments are
App. 3
24. 24
Difficult-to-read tags
Introduction Purpose Method Results Discussion
<segment features='problem;introduction;rhetorical_moves' state='active'>We
address the problem of model-based object recognition.</segment> <segment
features='purpose;rhetorical_moves' state='active'>Our aim is to localize and
recognize road vehicles from monocular images or videos in calibrated traffic
scenes.</segment> <segment features='method;rhetorical_moves' state='active'>A
3-D deformable vehicle model with 12 shape parameters is set up as prior
information, and its pose is determined by three parameters, which are its position
on the ground plane and its orientation about the vertical axis under ground-plane
constraints.</segment> <segment features='purpose;rhetorical_moves'
state='active'>An efficient local gradient-based method is proposed to evaluate the
fitness between the projection of the vehicle model and image data, which is
combined into a novel evolutionary computing framework to estimate the 12 shape
parameters and three pose parameters by iterative evolution.</segment> <segment
features='background;introduction;rhetorical_moves' state='active'>The recovery of
pose parameters achieves vehicle localization, whereas the shape parameters are
used for vehicle recognition.</segment> <segment
features='method;rhetorical_moves' state='active'>Numerous experiments are
App. 3
26. 26
Ideas for you and your students
Pronunciation: Regular โedโ
โข Regular โedโ /t/, /d/, /id/
โข th [voiced or voiceless]
Grammar:
โข Tenses: e.g. perfect continuous: been + ing
โข Quantifiers : [U] much, little; [C] many, few; [U/C] lots of , a lot of
Vocabulary:
โข Colours: red, blue crimson red, cobalt blue,
โข Body parts: hand, eyes, leg hand out, eye up, leg it
27. 27
Regular โedโ
False positives:
โข learned /d/ /id/
Pron Preceeding sound Potential regex
/id/ d, t /(d|t)edb/gi;
/t/ voiceless consonants /(s|f)edb/gi;
/d/ voiced consonants /(z|v)edb/gi;
/d/ Vowel /(ow|i|ay)edb/gi;
Pronunciation of โedโ is dictated by the sound of the preceeding letter(s).
| โ Boolean โorโ
so x|y means either x or y
d|ted means d or ted but by adding brackets
(d|t)ed means ded or ted
28. 28
Pronunciation of โthโ
Pron Feature Potential regex
/๐น/ Voiced initial th /btha(n|t|) b/gi;
/bthe(b|ir|m|re|se|y) b/gi;
/bthisb/gi;
/btho(se|ugh|) b/gi;
/bthusb/gi;
/๐ฝ/ Voiceless initial th /bth/gi;
/t/ th pronounced as t /bthomas|thames|thyme/gi;
Pronunciation of โthโ can be predicted by the law that for function words
the initial th is pronounced as a voiced sound.
29. References
29
Blake, J. (2012, November 28-30). Corpus-based academic written error
detector. Conference proceedings of the 20th International Conference on
Computers in Education. Nanyang Technological University, Singapore.
Blake, X. and Blake, J. (2015, January 29-31). Academic literacy: Mentor and
mentee perspectives. Poster presented at 35th International Conference of
ThaiTESOL, Bangkok, Thailand.
Morrall, A. (2000-2014). Common Error Detector. [Online tool]
http://www2.elc.polyu.edu.hk/cill/errordetector.htm