[PDF] Top 20 Automatic Error Analysis Based on Grammatical Questions
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Automatic Error Analysis Based on Grammatical Questions
... and questions corresponding to each grammatical item, and proposed using it to find grammatical faults in MT ...the grammatical problems in Japanese-to-Chinese MT ...conventional ... See full document
10
Cross Sentence Grammatical Error Correction
... 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 ... See full document
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A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
... maticality based on n-gram frequency statis- tics: we present two versions, one which uses frequency thresholds and one which uses a decision tree trained on the frequen- cies of the rarest n-grams in the input ... See full document
10
Automatic Grammatical Error Correction for Sequence to sequence Text Generation: An Empirical Study
... One valid solution to this challenge is conduct- ing grammatical error correction (GEC) for ma- chine generated sentences. Recent GEC systems (Chollampatt and Ng, 2018; Junczys-Dowmunt et al., 2018; ... See full document
6
Minimally Augmented Grammatical Error Correction
... to automatic grammati- cal error ...Augmented Grammatical Error Correction (MAGEC) that does not require any error- labelled ...is based on a simple but effective synthetic er- ... See full document
7
Chinese Grammatical Error Diagnosis System Based on Hybrid Model
... the grammatical errors of EFL learners (Chodorow et ...for automatic Chinese proofreading has driven an increase in study for this task in Chinese ...order error detection technology focused on the ... See full document
9
Learning to combine Grammatical Error Corrections
... and based on these results, manually selected a rule for combining the two best systems, building a hybrid system that outperformed the standalone ...set based on the overall text, NE surface form, the NE ... See full document
10
Inherent Biases in Reference based Evaluation for Grammatical Error Correction
... veloping alternative evaluation measures that tran- scend n-gram overlap, and use deeper analysis tools, e.g., by comparing the semantics of the ref- erence and the source to the output (cf. Lo and Wu, 2011). ... See full document
11
Human Evaluation of Grammatical Error Correction Systems
... We have successfully adapted methods from the WMT human evaluation campaigns to automatic grammatical error correction. The collected and produced data has been made available and should be useful ... See full document
10
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning
... matical error diagnosis for learning Chinese. In the grammatical error diagnosis, not only do we find a single error, but we can also find a sentence with multiple ...can automatic ... See full document
8
Automatic Assignment of Grammatical Relations
... and grammatical relations are arranged on a hierarchy from generic to specific ones, implementing a notion of ...AGRA, Automatic Grammatical Relations Assigner) implements a number of heuristics that ... See full document
8
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model
... learners’ grammatical errors. Therefore, the study of Chi- nese grammatical error automatic diagnosis sys- tem is very ...matical Error Diagnosis (CGED) is to build a sys- tem that can ... See full document
6
Automatic Text Summarization For Bengali Language Including Grammatical Analysis
... Text analysis, Sentence scoring and summarizing ...n-gram based process [8] and lexical similarities were ...some analysis to get sentences score with traditional ...graph based model for text ... See full document
5
Automatic Metric Validation for Grammatical Error Correction
... Much recent effort has been devoted to auto- matic evaluation, both within GEC (Napoles et al., 2015; Felice and Briscoe, 2015; Ng et al., 2014; Dahlmeier and Ng, 2012, see §2), and more gen- erally in text-to-text ... See full document
11
Automatic Grammatical Error Detection for Chinese based on Conditional Random Field
... Chinese grammatical error detection are much less compared with that of ...classifier based on CRF model to detect Chinese text ...the grammatical errors and error types, but the ... See full document
6
Overview of NLP TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis
... rule-based analysis (Lee et ...linguistic analysis, the ICCE-2014 workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA) organized a shared task on diagnos- ing ... See full document
9
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
... new error scheme is based solely on au- tomatically obtained properties of the data, there are no gold standard labels against which to evalu- ate classifier ...predicted error types for 200 randomly ... See full document
13
Phrase based Machine Translation is State of the Art for Automatic Grammatical Error Correction
... the error rate in this set reveals that only ...the error rate is significantly lower than in the previous development set, only ...the error rate by greedily removing sen- tences from NUCLE until an ... See full document
11
Error Analysis: A Study on Grammatical Errors in the Writings of Iraqi EFL Learners
... following questions are seeks in this study: What are the types of grammatical errors Iraqi EFL learners commit in their English writings? What are the frequency types of grammatical errors? ... See full document
21
Chinese Grammatical Error Diagnosis Based on CRF and LSTM CRF model
... make grammatical errors such as redundant words (R), missing words (M), word selection errors (S), and word ordering errors (W), due to language nega- tive migration, over-generalization, teaching methods, ... See full document
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