Computational Linguistics

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I study computational linguistics at CUNY Graduate Center where I work at the intersection of natural language processing (NLP) and second language acquisition (SLA). I believe that NLP technologies offer remarkable opportunities for the langauge classroom. Among them, I find oral practice of particular interest. Automated scoring of open-ended spoken responses, intelligent tutoring, grammatical error detection and correction, or spoken dialog solutions, are some of the classroom applications of NLP I have been investigating.

 

• 🎙️ Podcast: Speaking of Language - Corpora and Data in the Language Classroom with Simon Zuberek
  ( episode link )
 
• 🎙️ Podcast: Said and Done - Language Learning and AI with Simon Zuberek
  ( episode link )
 
• 🎙️ IALLT Interview Project Episode 9: Interview about Artificial Intelligence with Cory Duclos, Simon Zuberek, and Anthony Spadafino
  ( episode link )
 

Projects

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• Genusidator: A Rule-Based System to Explain Grammatical Gender Assignment in German Nouns
  ( slides | code )
 
• He(write)age: A classifier to distinguish between written output produced by heritage and non-heritage learners of Polish as a foreign language
  ( manuscript | slides | code )
 
• Clickbait Detector: A Naive Bayes classifier to automatically detect clickbait headlines
  ( manuscript | code )
 
• Ukrainian-to-Polish Anthroponym Transcriber
  ( manuscript | code )
 
• "Am I Your Father? Applying Computational Methods in Detecting Grammatical Similarities in the Dialogues between Star Wars Characters"
  ( manuscript | slides | code )
 
• The Effectiveness of Pronunciation Training Software in ESL Oral Fluency Development
  ( MA Thesis )