[PDF] Top 20 Generating artificial errors for grammatical error correction
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Generating artificial errors for grammatical error correction
... L1-specific errors can be imitated by computing word confusions in an error-annotated ESL cor- pora and using these distributions to change tar- get words accordingly in error-free ...an ... See full document
11
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction
... of artificial data generated by correspond- ing AEG models, we hypothesize that the artifi- cial error generated by these models are ...of artificial error gener- ated by MLCONV and ... See full document
6
Corpora Generation for Grammatical Error Correction
... 2010), (Felice et al., 2014; Xie et al., 2016; Rei et al., 2017) has investigated multiple strategies for generating artificial errors in GEC. Cahill et al. (2013) show that preposition corrections ... See full document
11
Toward More Precision in Correction of Grammatical Errors
... occurring grammatical error types in a corpus of essays which have been manually annotated for these ...an error in an ill-formed sentence, enabling a post- processing script to use the tree and the ... See full document
6
Erroneous data generation for Grammatical Error Correction
... It has been demonstrated that the utiliza- tion of a monolingual corpus in neural Grammatical Error Correction (GEC) sys- tems can significantly improve the system performance. The previous ... See full document
10
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
... the errors they detected than ...more errors than they were able to ...detect errors, even if it is unable to correct them, is still likely to be valuable information to a learner (Rei and ... See full document
13
Joint Learning and Inference for Grammatical Error Correction
... ESL error cor- rection has addressed the task by building statistical models that specialize in correcting a specific type of a ...of errors common among non-native speakers of En- glish: article, ... See full document
12
RACAI GEC – A hybrid approach to Grammatical Error Correction
... (a) Statistical approaches rely on building statistical models (using surface forms or syntactic labels) that are used for detecting and correcting local errors. The typical statistical approach is to model how ... See full document
6
A Beam Search Decoder for Grammatical Error Correction
... using MegaM (Daum´e III, 2004) and interpolated with the previous weight vector with an interpola- tion parameter of 0.1. We normalize feature val- ues to avoid having features on a larger scale dom- inate features on a ... See full document
11
Automatic Metric Validation for Grammatical Error Correction
... the correction and the ...uses grammatical error detection tools to assess the grammaticality of GEC system ...more errors than LT. A sentence’s score is defined to be 1 − #errors ... See full document
11
A Meta Learning Approach to Grammatical Error Correction
... article errors for two ...article error correction are already well engineered allowing for quick analysis of the ...article error correction ... See full document
5
A Tree Transducer Model for Grammatical Error Correction
... annotated errors is much higher in the test set than in the development set: 46% of clauses have cor- ...of errors increase the difficulty of the correction task (Dahlmeier and Ng, ... See full document
9
Grammatical Error Correction with Alternating Structure Optimization
... of grammatical errors. We define the more re- alistic correction task as follows: given a particular word and its context, propose an appropriate correc- ...proposed correction can be ... See full document
9
Ground Truth for Grammatical Error Correction Metrics
... All metrics deviate from the human rankings, which may in part be because automatic metrics equally weight all error types, when some errors may be more tolerable to human judges than oth- ers. For example, ... See full document
6
Grammatical Error Correction: Machine Translation and Classifiers
... approach, error con- fusions are learned automatically via the phrase translation tables extracted from the parallel train- ing ...complex errors where replacements involve a sequence of ...phrase-level ... See full document
11
Grammatical Error Correction in Low Resource Scenarios
... casing errors and sometimes also errors in ...of errors in dia- critics, we add a new character-level noising oper- ation, which for a selected character either gener- ates one of its possible ... See full document
11
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
... Grammatical error correction, like other ma- chine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to ...realistic ... See full document
7
Cross Sentence Grammatical Error Correction
... We conduct a more coarse-grained analysis to find the top 5 part-of-speech tags of output words (based on Universal tags) that produce the high- est average KL divergences (Table 6). Nouns and proper nouns (PROPN) ... See full document
11
Generating and Scoring Correction Candidates in Chinese Grammatical Error Diagnosis
... Although that Chinese grammars are not defined as clearly as English, Chinese native speakers can easily identify grammatical errors in sentences. This is one of the most difficult parts for foreigners to ... See full document
9
Memory based Grammatical Error Correction
... generate correction suggestions for center positions in small text windows of two words to the left and to the ...likely correction of an occurring determiner or ...and errors cor- rected and ... See full document
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