Multilingual bert - PowerPoint PPT Presentation


Global Online Language Learning Market to Surpass $38.7 Billion by 2030

The growth of this market is driven by globalization and the growing need for cross-border communication, the growing E-learning market, and the penetration of artificial intelligence in E-learning. The increasing expenditure on the education sector, rising internet and smartphone user base, and inc

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CS 404/504 Special Topics

Adversarial machine learning techniques in text and audio data involve generating manipulated samples to mislead models. Text attacks often involve word replacements or additions to alter the meaning while maintaining human readability. Various strategies are used to create adversarial text examples

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Practically Adopting Human Activity Recognition

Cutting-edge research in Human Activity Recognition (HAR) focuses on practical adoption at scale, leveraging labeled and unlabeled data for inference and adaptation. Prior works explore models like LIMU-BERT and address challenges in combating data heterogeneity for feature extraction.

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Transformative Journey: Charting Unique Learning Needs in Hamblen County

Embark on a transformative journey in Hamblen County to address the unique learning needs of a diverse student population through data-driven initiatives, collective responsibility, and a commitment to high-quality education. Explore the district's vision, key statements, and next steps towards inst

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Enable 2022: The Localization Tool for PowerBuilder Applications

Enable 2022 offers a comprehensive solution for making PowerBuilder applications multilingual, revolutionizing the way applications are localized. With advanced features like dynamic language switching and support for all languages, Enable Development is a leader in PowerBuilder outsourcing and mana

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Exploring K-Pop and Blackpink: Jisoo, Rose, Jennie, Lisa

K-pop, short for Korean pop, is a popular music genre from South Korea influenced by a mix of styles worldwide. Blackpink, a renowned K-pop girl group with members Jisoo, Rose, Jennie, and Lisa, has risen to global fame since their debut in 2016. Lisa, born in Thailand, is known for her multilingual

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Language Expectations and Functions in Educational Units

Explore the importance of unit language goals in educational settings, focusing on identifying language expectations, functions, and features. Understand how to describe language use for content learning and support multilingual learners. Examples from science and ELA units illustrate practical appl

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Unlocking the Benefits of Bilingualism Across Personal, Social, Academic, Employment, and Health Aspects

Explore the vast advantages of bilingualism, from enhanced cognitive functions in bilingual brains to improved social relationships, academic performance, job prospects, and even health benefits like delaying dementia onset. Address concerns parents may have about language development in children ra

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Mysterious Jungle Expedition

Amidst the dense jungle, two explorers, Simon and Bert, embark on an expedition filled with danger and intrigue. As they uncover hidden artifacts and face unexpected challenges, a sense of foreboding lingers in the air, hinting at a thrilling adventure ahead.

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Enhancing Comprehension for English Language Learners/Multilingual Language Learners

This presentation focuses on scaffolding English language arts instruction to enhance comprehension for English Language Learners (ELLs) and Multilingual Language Learners (MLLs). It covers strategies like close reading, building background knowledge, and vocabulary development. The goal is to suppo

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Transforming NLP for Defense Personnel Analytics: ADVANA Cloud-Based Platform

Defense Personnel Analytics Center (DPAC) is enhancing their NLP capabilities by implementing a transformer-based platform on the Department of Defense's cloud system ADVANA. The platform focuses on topic modeling and sentiment analysis of open-ended survey responses from various DoD populations. Le

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Deep Learning Applications in Biotechnology: Word2Vec and Beyond

Explore the intersection of deep learning and biotechnology, focusing on Word2Vec and its applications in protein structure prediction. Understand the transformation from discrete to continuous space, the challenges of traditional word representation methods, and the implications for computational l

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Evolution of Neural Models: From RNN/LSTM to Transformers

Neural models have evolved from RNN/LSTM, designed for language processing tasks, to Transformers with enhanced context modeling. Transformers introduce features like attention, encoder-decoder architecture (e.g., BERT/GPT), and fine-tuning techniques for training. Pretrained models like BERT and GP

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Understanding Equivalent Ratios and Linear Sequences for Problem Solving

Learn how to identify and work with equivalent ratios, spot linear sequences, and solve problems using ratios. Practice simplifying ratios, correcting work, and applying ratios in real-life scenarios. Explore scenarios like sharing sweets between Alice and Bert to strengthen your understanding of ra

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Speech and Language Developmental Milestones: A Bilingual/Multilingual Perspective

Speech and language developmental milestones are crucial for children, regardless of their home language. These milestones encompass receptive language, expressive language, pragmatics, and articulation and phonology. Understanding how a child hears and talks from birth to one year is essential, as

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Supporting Multilingual Children in Early Years Settings

The number of children in settings with families using languages other than English has increased, raising questions about language use at home. Encouraging parents to use their most fluent language supports secure bonding, cognitive development, and speech skills. Growing up multilingual has variou

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Exploring Transformer Models for Text Mining and Beyond

Delve into the world of transformer models, from foundational concepts to practical applications like predicting words, sentences, and even generating complex content. Discover examples like BERT, GPT-2, and ChatGPT, showcasing how these models can handle diverse tasks beyond traditional language pr

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A Comprehensive Overview of BERT and Contextualized Encoders

This informative content delves into the evolution and significance of BERT - a prominent model in NLP. It discusses the background history of text representations, introduces BERT and its pretraining tasks, and explores the various aspects and applications of contextualized language models. Delve i

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UN-REDD Support on Safeguards and Safeguard Information Systems

The UN-REDD Programme assists countries in addressing social and environmental issues through the development of national approaches to safeguards. The programme's approach emphasizes the importance of safeguarding national REDD+ systems to manage potential negative impacts and enhance benefits. Str

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Platform Support for Developing Analysis and Testing Plugins

This presentation discusses the platform support for developing plugins that aid in program analysis and software testing in IDEs. It covers IDE features, regression testing processes, traditional regression testing methods, and a case study on BEhavioral Regression Testing (BERT). The talk also del

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Engaging Young Minds Through Multilingual Digital Storytelling

Explore the world of multilingual digital storytelling, a creative way for children and young people to share personal and collective experiences using audio, visual, and text elements. This approach fosters collaboration, critical thinking, and creativity, with topics ranging from nature conservati

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Multilingual Situation in Algeria: Influence of French Borrowings on Tamazight Varieties

The study conducted by the Centre National Pédagogique et Linguistique explores the intricate multilingual environment in Algeria, focusing on the incorporation of French borrowings in Algerian Arabic and Tamazight varieties. The research delves into factors leading Berber speakers to adopt French

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Embracing the Power of Learning Welsh for a Multilingual Future

Discover the importance of language learning in today's global landscape and the advantages of becoming bilingual, with a focus on Welsh. Learning languages enhances cultural understanding, opens up new opportunities in travel, job prospects, and academic success, and fosters tolerance towards diver

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ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

The ZEN model improves pre-training procedures by incorporating n-gram representations, addressing limitations of existing methods like BERT and ERNIE. By leveraging n-grams, ZEN enhances encoder training and generalization capabilities, demonstrating effectiveness across various NLP tasks and datas

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Extending Multilingual BERT to Low-Resource Languages

This study focuses on extending Multilingual BERT to low-resource languages through cross-lingual zero-shot transfer. It addresses the challenges of limited annotations and the absence of language models for low-resource languages. By proposing methods for knowledge transfer and vocabulary accommoda

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Transnational Citizens Dialogue Slides: Multilingual Onsite Event from Poland, France, and Germany

Explore the transnational citizens' dialogue slides designed for a multilingual onsite event involving participants from Poland, France, and Germany. The presentation covers welcome sessions, program details, topics of discussion, and capturing citizens' opinions on Europe. Engage in a comprehensive

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Fine-Grained Language Identification Using Multilingual CapsNet Model

This study explores fine-grained language identification through a multilingual CapsNet model, addressing challenges such as short audio snippets, multiple languages, noise, limited training data, and non-class identification. The dataset includes various languages like Arabic, Bengali, Chinese, Eng

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Challenges and Advances in Multilingual and Code-Mixed ASR Systems

Recent advances in multilingual and code-mixed models for streaming end-to-end ASR systems present challenges including low resource Indic language data, multiple dialects, code-mixing, and noisy environments. These challenges impact ASR modeling by causing convergence issues, higher Word Error Rate

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Multilingual Literacy SIFE Screener for Student Identification

The Multilingual Literacy SIFE Screener (MLS) is a crucial tool for identifying students with interrupted or inconsistent formal education (SIFE). This screener helps schools and districts in assessing students' literacy levels in their home languages, guiding appropriate program instructions. Vario

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The Multilingual Turn in Sociolinguistics: Implications for Educators

Exploring the multilingual context in Vanuatu, this article delves into the historical evolution of language policies and their impact on education. It discusses the diverse language landscape in Vanuatu, the challenges faced by educators, and the shifting paradigms in language instruction over time

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Webinar on Value of FAIR Evaluators in EOSC-Nordic Step 5

Discover the importance of FAIR Evaluators in the EOSC-Nordic Step 5 webinar series. Learn about the assessment process, key takeaways, and insights on FAIR data and its implications. Join Bert Meerman, Director of GO FAIR Foundation, as he delves into the significance of machine actionability and t

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Multilingual Education Program at Newport-Mesa Unified School District

In response to new educational reforms, Newport-Mesa Unified School District is enhancing its language programs to prepare students for a multilingual world. With a focus on promoting diversity, encouraging the study of world languages, and fostering respect for other cultures, the district aims to

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Feedback on UN-REDD Programme's SEPC and BeRT in Sudan

Feedback on the implementation of the UN-REDD Programme's Social and Environmental Principles and Criteria (SEPC) and the Benefit and Risks Tool (BeRT) in Sudan. The workshop aimed to identify the benefits of the SEPC tool for designing the Sudan National REDD programme, explore its usefulness on th

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Understanding Corporate Climate Assessment Using NLP Clustering

This work explores a novel approach in corporate climate assessment through applied NLP clustering, highlighting the relationship between climate risk and financial implications. The use of advanced techniques like BERT embedding for topic representation and clustering in corporate reports is discus

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ATC Advanced Technologies Committee Overview 2023-2024 Activities

The ATC Advanced Technologies Committee, led by Bert van Duijn, focuses on sharing image data for developing imaging technologies for seed quality testing. With members from 13 countries, the committee engages in various working groups exploring X-ray, molecular, and mathematical technologies. They

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Multilingual Government Digital Communication Project for COVID-19 Response

This project, funded by the Ministry of Health, focuses on multilingual communication for COVID-19 response. It includes translating PHO orders, health safety information, vaccination details, and economic recovery resources into multiple languages to ensure accessibility and understanding for all c

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Language in Multilingual Societies: Embracing Diversity

In multilingual societies, people navigate daily life using multiple languages for various purposes. From home to work to prayer, different languages play a crucial role in communication and social organization. The interaction of speakers of multiple languages in such environments can lead to langu

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Supporting Multilingual Learners in the Content Classroom

Explore different strategies and resources for working with multilingual learners in the content classroom. Discover ways to differentiate instruction, support academic language development, and address the needs of gifted students and those with IEPs. Aim to challenge students in their learning zon

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Mediation in the Netherlands: Towards Peaceful Solutions Conference Interaction

Bert Maan, an international expert, discussed the background and overview of mediation in the Netherlands, highlighting the purpose of law, legal culture, the arrival of mediation, and the current situation. The legal culture in the Netherlands emphasizes a solution-oriented approach, with a traditi

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Multilingual Sentiment Analysis for Enhanced Language Resources

This presentation discusses the EUROSENTIMENT project focusing on generating multilingual variants for sentiment lexicons. Addressing challenges in sentiment analysis, the project aims to build a shared language resource pool to improve adaptability and interoperability of language resources. Object

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