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Young linguist academy
Young linguist academy













young linguist academy
  1. #Young linguist academy registration#
  2. #Young linguist academy series#
  3. #Young linguist academy free#

The program is currently accepting early-bird registration participants who sign up before April 30 will receive a $15 discount on tuition. Parents and teachers serve as partners in the play, and learn ways to expand children’s understanding as they observe, label behaviors and make music with the children.

#Young linguist academy free#

Based on the belief that young children learn best when they are free to play and make discoveries as they play, these weekly classes provide rich music environments where children may explore a variety of music instruments, recordings, songs and music toys without structured teaching.

young linguist academy

#Young linguist academy series#

With a team of colleagues from various universities and research fields (Linguistics, Literary Studies, Digital Humanities and Social Sciences), she is eager to play a part in crossing boundaries and showing how her research benefits the research community and society as a whole.The Brigham Young University School of Music is now accepting applications for its 2014-2015 Young Musicians Academy, a series of classes for preschool infants, children and their parents.

young linguist academy

And her new research project MacBERTh also epitomises these passions. For a researcher who is passionate about facilitating interdisciplinary research and engaging with the wider society, she will definitely be a tribute to YAL. Crossing boundaries and connecting to society The project MacBERTh was born.įonteyn: “With MacBERTh researchers interested in how meanings and concepts are conveyed in historical texts will be able to address questions like which words or phrases express that a person is considered ‘an outsider’?’ or which terms does Shakespeare use in Macbeth to refer to the concept of ‘murder’?” As part of the project, an interactive app will also be created, which will allow anyone to visualise and learn how meanings and usage of English and Dutch words and phrases have changed over time. Together with her colleagues, Fonteyn wondered whether they could train BERT so that it could be applied to historical texts and language variaties. “This is particularly exciting, as models such as BERT offer a more objective and data-driven way of approaching texts, and may help avoid (unintended) biases of researchers,” Fonteyn explains. One example of a so-called deep neural computational language model is BERT (Bidirectional Encoder Representations from Transformers), which can capture subtle and complex meanings of words and phrases by compressing the context in which they occur into numeric vectors. “I believe that providing access for researchers from Humanities and Social Sciences to models and tools developed in the machine learning community will encourage dialogue and build necessary bridges between different fields and disciplines,” Fonteyn says.Ĭomputational models are typically named after Muppet characters (BERT, ELMo, and now MacBERTh). And so Fonteyn and her colleagues started thinking about how existing computational models could be designed to specifically suit the needs of these Humanities and Social Sciences researchers. Unfortunately, many of these researchers do not have easy access to state-of-the-art computational language models. This is why a growing number of Humanities and Social Sciences scholars are becoming interested in using computational methods of research. However, generating this data ‘by hand’ is extremely labour-intensive and time-consuming. The digitisation of texts has offered researchers a wealth of information to analyse. I’m looking forward to contributing to their efforts of stimulating interdisciplinary research and connecting researchers to society.” Digital Humanities and Social Sciences “And I feel very honoured to have been selected as a member for YAL. “I am beyond happy that we have been awarded the Digital Infrastructure grant. This grant will help us create the first set of deep neural language models pre-trained on historical textual material (Dutch and English) from different time periods,” says Fonteyn. This group of early-career academics strives to boost research across disciplines, engage in science and policy education, and encourage public outreach. And if that wasn’t enough, she also received news that she had been selected as member of the Young Academy Leiden (YAL). This project is aimed at creating a computational language model for understanding how meanings and concepts are conveyed in historical texts. First she was awarded just under 438.000 EUR for a 2-year interdisciplinary research project MacBERTh. It was a great day at the office for Lauren Fonteyn, a historical linguist at the Leiden University Centre for Linguistics.















Young linguist academy