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2016/03/31 · We present a neural network-based approach to language correction. The core component of our method is an encoder-decoder recurrent neural network with an ...
A neural network-based approach to language correction that achieves a state-of-the-art $F_{0.5}$-score on the CoNLL 2014 Shared Task and demonstrates that ...
2016/03/31 · The approach presents simple extensions to the basic learning algorithm and make use of a closest neighbor algorithm for correctness. Other ...
2024/08/29 · This paper presents a comprehensive analysis of Chinese text grammar error correction technology, elaborates on its current research status, ...
An Approach to NMT Re-Ranking Using Sequence-Labeling for ...
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An approach to N-best hypotheses re-ranking using a sequence-labeling model is applied to resolve the data deficiency problem in Grammatical Error ...
The resulting unlimited-vocabulary and affix- aware source word embeddings are tested in a state-of-the-art neural MT based on an attention-based bidirectional ...
2021/09/29 · Hierarchical Character Tagger for Short Text Spelling Error Correction ... Neural language · correction with character-based attention. CoRR, abs ...
Neural Programmer: Inducing Latent Programs with Gradient Descent; A Neural Conversational Model; Neural Language Correction with Character-Based Attention [ ...
2023/01/07 · A Neural-based Character-Level Text Error Correction (TEC) Algorithm is a neural TEC algorithm that is a character-level TEC algorithm.