[PDF] Top 20 Chinese Grammatical Error Diagnosis Using Single Word Embedding
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Chinese Grammatical Error Diagnosis Using Single Word Embedding
... of word vectors trained by word2vec are better than that by fastText, since the fastText model makes the distance between similar words ...in Chinese, and word2vec can reflect this ...makes word ... See full document
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Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis
... diagnosed grammatical errors based on the CRF (Chen et ...with word order sensitive embedding approaches (Chou et ...for grammatical error diagnosis (Chen et ...identify ... See full document
7
CYUT III System at Chinese Grammatical Error Diagnosis Task
... CRF has been used in many natural language processing applications, such as named entity recognition, word segmentation, information extraction, and parsing. To perform different tasks, it requires different ... See full document
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Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement
... Dynamic programming and Viterbi Decoding (Huang et al., 2015) are used to compute the sum- mation in above equation, and to predict the output tag sequence that obtains the maximum score. The entire training data is ... See full document
8
Bi LSTM Neural Networks for Chinese Grammatical Error Diagnosis
... for Chinese grammatical error detection or ...the error types of word order, omission and redundant, corresponding to three of the types in the shared ...for word ordering ... See full document
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N gram Model for Chinese Grammatical Error Diagnosis
... s into the original sentence, then we use 2-gram, 3-gram and 4-gram around the specific character, and we can collect 9 items for each character of specific position, including 2 items of 2-gram, 3 items of 3-gram and 4 ... See full document
6
Generating and Scoring Correction Candidates in Chinese Grammatical Error Diagnosis
... Grammatical error diagnosis is an essential part in a language-learning tutoring ...of Chinese grammar error detection tasks, we proposed a system which meas- ures the likelihood of ... See full document
9
Contextualized Character Representation for Chinese Grammatical Error Diagnosis
... (Zhang et al., 2000) searched the optimal string from all possible derivation of the input sentence using operations of character substitution, inser- tion, and deletion with a traditional word 3-gram ... See full document
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YNU HPCC at IJCNLP 2017 Task 1: Chinese Grammatical Error Diagnosis Using a Bi directional LSTM CRF Model
... The proposed model consists of three major parts: the word-embedding layer, the bi-directional LST- M layer, and the CRF layer. CRF is a traditional s- tatistical learning method for sequence labeling. It ... See full document
5
CMMC BDRC Solution to the NLP TEA 2018 Chinese Grammatical Error Diagnosis Task
... detect Chinese word ordering ...the Chinese word or- dering ...detect Chinese grammatical errors in ...of Chinese syntax, the performance of existing models is not ... See full document
8
Chinese Grammatical Error Diagnosis with Long Short Term Memory Networks
... Grammatical error diagnosis is an important task in natural language ...our Chinese Grammatical Error Diagnosis (CGED) system in the NLP-TEA-3 shared task for ...of ... See full document
8
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction
... in Chinese has its meaning, which is quite different from English characters, and the Chinese word’s meaning often depends on the meaning of its ...a word if taken alone. But it is sufficiently ... See full document
10
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model
... English, Chinese has neither singular/plural change, nor the tense changes of the verb, and it uses more short sentences but less ...same word may express different meanings in different contexts, namely ... See full document
6
Overview of the NLP TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis
... English grammatical error correction have attracted more attention in recent years (Ng et ...correcting grammatical errors for use by learners of Chinese as a foreign language ...detect ... See full document
6
Grammatical Error Detection Using Error and Grammaticality Specific Word Embeddings
... in grammatical error ...with grammatical errors along with er- ror ...of error patterns is 4,184, the number of tokens of the replacement candidates is 9,834, and the number of types is ... See full document
9
Chinese Grammatical Error Diagnosis Based on CRF and LSTM CRF model
... learning Chinese as a foreign lan- guage, the learners may have some gram- matical errors due to negative migration of their native ...bad word selection (S) and disordered words (W) in Chinese sen- ... See full document
7
IJCNLP 2017 Task 1: Chinese Grammatical Error Diagnosis
... contains grammatical errors or ...best error detection results, providing a high F1 score of ...the error types in a given ...for grammatical error ...the error types and their ... See full document
8
Chinese Grammatical Error Diagnosis System Based on Hybrid Model
... NLPIR Chinese Word Segmentation to segment the ...a single generative equation for these ...the error correction rules that correspond to them: ... See full document
9
Chinese Grammatical Error Diagnosis Using Ensemble Learning
... of single classifiers such as Naïve Bayes (NB), De- cision Tree (DT), Support Vector Machines (SVM) and Maximum Entropy (ME), and en- semble learners Adaboost (AB), Random Forest (RF) and Random Feature Subspace ... See full document
6
Word Order Sensitive Embedding Features/Conditional Random Field based Chinese Grammatical Error Detection
... the word ordering and sentence ...Besides, word-based features will result in the sparse training data problem, since the total number of Chinese words is more than 160,000 2 ... See full document
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