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Lingscape – Linguistic Landscaping
Have you ever wondered how many signs you pass on your daily way to work? In which languages these signs are lettered? And how language in public space changes over time? Welcome to Lingscape!
Writing is everywhere in public space. All different kinds of signs and lettering form the linguistic landscape of a place or community. Often these signs display different languages, be they on the same sign or next to each other. Lingscape is an app for researching such linguistic landscapes all over the world. Therefore we collect photos of signs and lettering on an interactive map.
Our main objectives: We want to analyze the diversity and dynamics of public writing. And we want to do that together with people from all over the world.
You can help us to collect as many photos as possible. Upload your own photos or explore the map with all photos added by other users. Share photos you like with your friends. Become part of our crowd research team by contributing to the project.
Citizen science meets linguistic landscaping, or short: Lingscape!
The covering sense of OVER
The preposition 'over' has long been studied by linguists since it has some semantic features which pose lots of problems for contemporary theories of polysemy and solving those problems might help realize how semantic networks are organized in the mind of a language speaker.
Having studied most influential studies on the subject matter, we came up with our own experiment design. We found one specific sense of 'over', namely its covering sense, of a particular interest as in most studies it hasn't yet deserved much attention and its semantic peculiarities have not been properly explained. We designed a survey which aims to specify those peculiarities and now we need to find some English speakers who, by taking part in the survey, could help us collect the necessary data for further analysis.
How do babies learn language? In order to answer that question, we need to know more about babies' environments. What do they see? What do they hear?
We have a large corpus of videos of babies and toddlers going about their days. Need your help to analyze these videos. This project does not require any special expertise, just an interest in how babies learn and develop.
The VerbCorner Project
Dictionaries have existed for centuries, but scientists still haven't worked out the exact meanings for most words. This is a serious problem if you want to train computers to understand language. If we don't know what words mean, it's hard to teach computers what they mean. It is similarly hard to understand how children come learn the meanings of words, when we don't fully understand those meanings ourselves.
Rather than try to work out the definition of a word all at once, we have broken the problem into a series of separate tasks. Each task has a fanciful backstory -- which we hope you enjoy! -- but at its heart, each task is asking about a specific component of meaning that scientists suspect makes up one of the building blocks of meaning.
You can participate for as little as a few minutes or come back to the site over and over to help code the many thousands of words in English.
Purposeful Gaming is a project that explores how computer games can be used to enhance and preserve historical texts, such as 19th-century hand-written field notes and early agricultural catalogs.
Because these materials cannot be read by Optical Character Recognition (OCR) to produce a usable text document, people must transcribe them from scanned images. Even then, individuals may transcribe the same word differently.
This game uses texts that have been read by two different OCR programs. Each time the programs interpret a word differently, that word is fed into the game, and the player is asked to supply a transcription. Eventually, when enough people have typed the same word, the game can create consensus about the correct spelling. These corrections are then sent back to the digital library that holds the texts, where they can be incorporated into the original OCR transcriptions to make them more accurate.
Every word that you type is improving a text document that will become searchable and readable!
Play a game. Save a book.
Mark2Cure allows anyone that can read English, regardless of background, to help in the process of biomedical discovery. Scientific literature is growing at a rate of more than 2 new articles every single minute. It is hard for scientists to know what to read and to read everything that is relevant. Mark2Cure works by teaching citizen scientists to precisely identify concepts and concept relationships in biomedical text. This is a task that anyone can learn to do and can perform better than any known computer program. Once these tasks are completed, advanced statistical algorithms take the data provided by the volunteers and use it to provide scientists with new tools for finding the information that they require within the sea of biomedical knowledge.