9 papers
Classifying Syntactic Errors in Learner Language
Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak +1
We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence. The methodology builds…
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
In this work, we analyze how human gaze during reading comprehension is conditioned on the given reading comprehension question, and whether this signal can be beneficial for machi…
STARC: Structured Annotations for Reading Comprehension
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions. Our framework in…
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak +5
Linguistic typology aims to capture structural and semantic variation across the world's languages. A large-scale typology could provide excellent guidance for multilingual Natural…
Assessing Language Proficiency from Eye Movements in Reading
Yevgeni Berzak, Boris Katz, Roger Levy
We present a novel approach for determining learners' second language proficiency which utilizes behavioral traces of eye movements during reading. Our approach provides stand-alon…
Predicting Native Language from Gaze
Yevgeni Berzak, Chie Nakamura, Suzanne Flynn +1
A fundamental question in language learning concerns the role of a speaker's first language in second language acquisition. We present a novel methodology for studying this questio…