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Found 6 papers, 3 papers with code
Adversarial Grammatical Error Correction
The discriminator is a sentence-pair classification model, trained to judge a given pair of grammatically incorrect-correct sentences on the quality of grammatical correction.
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
Recent work on Grammatical Error Correction (GEC) has highlighted the importance of language modeling in that it is certainly possible to achieve good performance by comparing the probabilities of the proposed edits.
A Distributional Semantics Approach to Implicit Language Learning
Based on results from different behavioural experiments we argue that the implicit learnability of semantic regularities depends on the degree to which the relevant concept is reflected in language use.
The word entropy of natural languages
The average uncertainty associated with words is an information-theoretic concept at the heart of quantitative and computational linguistics.
Automatic Text Scoring Using Neural Networks
Automated Text Scoring (ATS) provides a cost-effective and consistent alternative to human marking.
