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