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1
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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2
Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
Abstract: Much of the existing linguistic data in many languages of the world is locked away in non-digitized books and documents. Optical character recognition (OCR) can be used to produce digitized text, and previous work has demonstrated the utility of neural post-correction methods that improve the results of general-purpose OCR systems on recognition of less-well-resourced languages. However, these methods rely on manually curated post-correction data, which are relatively scarce compared to the non-annotated raw images that need to be digitized. In this paper, we present a semi-supervised learning method that makes it possible to utilize these raw images to improve performance, specifically through the use of self-training, a technique where a model is iteratively trained on its own outputs. In addition, to enforce consistency in the recognized vocabulary, we introduce a lexically-aware decoding method that augments the neural post-correction model with a count-based language model constructed from the ... : Accepted to the Transactions of the Association for Computational Linguistics (TACL) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2111.02622
https://dx.doi.org/10.48550/arxiv.2111.02622
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3
Dependency Induction Through the Lens of Visual Perception ...
Su, Ruisi; Rijhwani, Shruti; Zhu, Hao. - : arXiv, 2021
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4
AlloVera: A Multilingual Allophone Database ...
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5
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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6
Towards Zero-resource Cross-lingual Entity Linking ...
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7
Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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