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Computational Linguistics


 

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


 
  • 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 )
  •  

Computational Linguistics


 

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


 
  • 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 )
  •