Papers with transliteration task

2 papers
English-to-Chinese Transliteration with Phonetic Auxiliary Task (2020.aacl-main)

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Challenge: Several NMT techniques have been used to enhance machine transliteration models, but few focus on the linguistic features specific to the relevant languages.
Approach: They propose a phonetic auxiliary task that integrates phonetic features into a model to improve generalization performance of the main transliteration task.
Outcome: The proposed model achieves similar performance to the current state of the art with a much smaller size.
Design Challenges in Named Entity Transliteration (C18-1)

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Challenge: Named entity transliteration is an important component in many search and language understanding tasks.
Approach: They empirically evaluate a named entity transliteration task using traditional methods . they use a stack of convolutional layers to create a neural network with a new approach .
Outcome: The proposed system outperforms two neural approaches in the named entity transliteration task.

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