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Principles and Mechanisms of Mutual Understanding

For an invite to the online talk, email ttytko@umd.edu.

Words fail me: Word learning in English as a second language, in and out of context

For an invite to the online talk, email ttytko@umd.edu.

The subtle non-nativelikeness of near-nativeness—an effect of age of L2 acquisition, or simply an inherent characteristic of bilingualism?

For an invite to the online talk, email ttytko@umd.edu.

The importance of (good) input for formulaic language learning and processing

**Out of respect for our speaker, we kindly ask that attendees have their camera turned on for the duration of the presentation**

 

Causal machine learning and challenges in decision-making with real-world data

 

Defeasible Inference in Natural Language

 

Challenges and Opportunities in Evaluating Progress in NLP

Abstract: The past few years have seen remarkable advances in NLP, as evidenced both by continued and rapid gains on benchmark tasks, as well as by the increasing prominence of real NLP systems in the wild.  In assessing such progress, however, it is important to ask not only what system achieves the best performance, but how it achieves that level of performance, how much we can trust the evaluation, and what the consequences of deploying such a system might be.

 

A Typology of Ethical Risks in Language Technology with an Eye Towards Where Transparent Documentation Can Help

African American English in 2nd and 3rd Grade Writing: Implications for Teacher Reflection and Education

Taffeta Wood (speaker) & Dr. Brandy Gatlin-Nash, University of California, Irvine

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