Articles tagged with Machine Translation
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A recent study from UTSA researchers reveals that large language models (LLMs) can pose a serious threat to programmers who use them to help write code. The study found that up to 97% of software developers incorporate generative AI into their workflow, and 30% of code written today is AI-generated.
A new method has improved AI translation of sign language by adding data on hand and facial expressions, as well as skeletal information. This has led to a significant increase in accuracy, making it easier for people with hearing impairments to communicate.
A new paper in JCOM describes the development of an automatic translation app for sign language, designed through co-creation with deaf communities. The research team used a theatrical performance and AI tools to gather feedback from audiences, informing the app's design and features.
A novel, fast and high-quality neural text-to-speech model was successfully developed using a Transformer encoder + ConvNeXt decoder and MS-FC-HiFi-GAN. The model can synthesize one second of speech at high speed in just 0.1 seconds using a single CPU core, achieving eight times faster synthesis than conventional methods.
Anastasopoulos is helping to develop a solution that can automatically translate languages of the southeast Asia and Pacific regions, with a particular focus on Indonesian and Filipino languages. Funding for this project began in January 2024 and will end in July 2024.
The JGU Center for Lifelong Learning is developing personalized AI-based learning experiences for adult learners, aiming to improve motivation and learning outcomes. The project will also discuss the challenges of AI technologies in teaching modern foreign languages.
A new study published in Frontiers in Artificial Intelligence found that training in Interlingual Respeaking, a new practice combining human collaboration with speech recognition software, can improve language professionals' cognitive abilities. The research, conducted by the University of Surrey, showed significant enhancements in wor...
A new machine learning model can automatically translate Akkadian text written in cuneiform into English, with the first version using Latin transliteration achieving satisfactory results. The program is effective for translating short sentences and can be used as part of a human-machine collaboration to correct and refine its output.
A new study at Cornell University introduced an automated participant that periodically interrupts the conversation to give nonnative speakers a chance to speak. The AI bot increased participation from 12% to 17% of all words spoken, with nonnative speakers feeling valued and appreciated for their perspectives.
A research team at Carnegie Mellon University is working to simplify data requirements for speech recognition models, aiming to reach 2,000 languages. By focusing on linguistic elements common across many languages and using a phylogenetic tree, the team hopes to eliminate the need for audio data.
A new paper introduces free machine translation services to convert scientific papers into multiple languages, promoting accessibility and global collaboration. Researchers at UC Berkeley developed these tools to address the dominance of English in scientific research, enabling scientists worldwide to share their work.
A team of researchers from Skoltech and universities developed a neural network-based solution for automated recognition of chemical formulas on research paper scans. The algorithm combines molecules, functional groups, fonts, styles, and printing defects to mimic existing molecular template depiction styles.
The University of Tartu and Tilde are developing a cutting-edge machine translation platform to advance Estonian translation capabilities. The project aims to create practical tools for public institutions, translation agencies, and developers, leveraging new approaches like modular transformer-type neural networks.
Researchers are creating a machine translation program for web browsers like Mozilla Firefox, focusing on improving translation quality and ensuring user privacy. The project involves adapting the engine to context, recognizing nuances in language style, and estimating translation quality.
Researchers at NAIST created a deep learning-based system to transcribe Japanese lecture speech and translate it into English with near-realtime accuracy. The system uses archived lecture videos with subtitles in both languages, achieving better translations than traditional live translation methods.
Researchers found Google Translate to be 92% accurate for Spanish and 81% accurate for Chinese, with most errors due to grammar or typographical mistakes. Clinicians are advised to verify translations with human interpreters and provide patients with the original English instructions.
Researchers at Dartmouth College used the Bible to develop an algorithm that can convert written works into different styles for different audiences. The study, published in Royal Society Open Science, trained on over 1.5 million unique pairings of source and target verses from various versions of the sacred texts.
Researchers will use machine learning to analyze language patterns and morphology in low-resource languages like Tagalog and Swahili. The system aims to provide English summaries explaining how documents are relevant to the query.
Researchers used a newly developed interpretive technique to analyze neural networks trained for machine translation and speech recognition. They found that lower-level tasks, such as sound recognition or part-of-speech recognition, are prioritized before higher-level tasks like transcription or semantic interpretation.
Columbia University's SCRIPTS system uses AI to process documents in low-resource languages, providing summaries and translations. The project aims to enhance efficiency for intelligence analysts worldwide.
A new multilingual search tool developed at the University of Washington's Turing Center allows people to search for images on the Web using hundreds of languages. The tool, named PanImages, automatically translates the search term into about 300 other languages and displays images from Google and Flickr.
The new version boasts improved translation quality, speed improvements of 5-10 times over previous versions, and enhanced multi-processor capabilities. This upgrade enables faster automation of the translation process, saving customers time and money.
Researchers at USC's Information Sciences Institute built a state-of-the-art machine translation system for Hindi in less than a month, achieving all aspects of the DARPA's 'Surprise Language' project. The system uses statistical models to find the most likely translations and can query Hindi databases using English questions.