Javad Nouri


2018

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Revita: a Language-learning Platform at the Intersection of ITS and CALL
Anisia Katinskaia | Javad Nouri | Roman Yangarber
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

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Revita: a system for language learning and supporting endangered languages
Anisia Katinskaia | Javad Nouri | Roman Yangarber
Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition

2016

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A Novel Evaluation Method for Morphological Segmentation
Javad Nouri | Roman Yangarber
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Unsupervised learning of morphological segmentation of words in a language, based only on a large corpus of words, is a challenging task. Evaluation of the learned segmentations is a challenge in itself, due to the inherent ambiguity of the segmentation task. There is no way to posit unique “correct” segmentation for a set of data in an objective way. Two models may arrive at different ways of segmenting the data, which may nonetheless both be valid. Several evaluation methods have been proposed to date, but they do not insist on consistency of the evaluated model. We introduce a new evaluation methodology, which enforces correctness of segmentation boundaries while also assuring consistency of segmentation decisions across the corpus.

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Modeling language evolution with codes that utilize context and phonetic features
Javad Nouri | Roman Yangarber
Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning

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From alignment of etymological data to phylogenetic inference via population genetics
Javad Nouri | Roman Yangarber
Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning

2014

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Measuring Language Closeness by Modeling Regularity
Javad Nouri | Roman Yangarber
Proceedings of the EMNLP’2014 Workshop on Language Technology for Closely Related Languages and Language Variants