Aditi Chaudhary - Academia.edu (original) (raw)

Aditi Chaudhary

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Papers by Aditi Chaudhary

Research paper thumbnail of CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology

Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, 2019

This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphologi... more This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context. This task requires us to produce the lemma and morpho-syntactic description of each token in a sequence, for 107 treebanks. We approach this task with a hierarchical neural conditional random field (CRF) model which predicts each coarse-grained feature (eg. POS, Case, etc.) independently. However, most treebanks are under-resourced, thus making it challenging to train deep neural models for them. Hence, we propose a multilingual transfer training regime where we transfer from multiple related languages that share similar typology. 1

Research paper thumbnail of CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology

Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, 2019

This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphologi... more This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context. This task requires us to produce the lemma and morpho-syntactic description of each token in a sequence, for 107 treebanks. We approach this task with a hierarchical neural conditional random field (CRF) model which predicts each coarse-grained feature (eg. POS, Case, etc.) independently. However, most treebanks are under-resourced, thus making it challenging to train deep neural models for them. Hence, we propose a multilingual transfer training regime where we transfer from multiple related languages that share similar typology. 1

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