[PDF] Top 20 Sentence Level Grammatical Error Identification as Sequence to Sequence Correction
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Sentence Level Grammatical Error Identification as Sequence to Sequence Correction
... Figure 1: An illustration of the C HAR model architecture translating an example source sentence into the corrected target with a single word replacement. A CNN (here, with three filters of width two) is applied ... See full document
10
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1
... Grammar error correction (GEC) systems have become ubiquitous in a variety of software applications, and have started to approach human-level performance for some ...proficiency level and ... See full document
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Adapting Sequence Models for Sentence Correction
... nary classification task of error identification. Additional Approaches The standard formula- tion of the correction task is to model the output sequence as t above. Here, we also propose mod- ... See full document
7
Improving Grammatical Error Correction via Pre Training a Copy Augmented Architecture with Unlabeled Data
... the sentence-level copying task is to make the model do more copy- ing when the input sentence looks entirely ...correct sentence pairs and the edited sentence pairs to the ... See full document
10
A Beam Search Decoder for Grammatical Error Correction
... best sentence-level ...specific error categories, such as articles and prepo- ...of error-annotated ...the sentence-level correc- ...on grammatical error ... See full document
11
Connecting the Dots: Towards Human Level Grammatical Error Correction
... source sentence, which enables them to make better pre- dictions than traditional language models (Devlin et ...higher error- per-sentence ratio. In addition, we add a character- level SMT ... See full document
7
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 ...a sequence of ...phrase-level correction that includes both a ... See full document
11
Corpora Generation for Grammatical Error Correction
... Grammatical Error Correction (GEC) has been recently modeled using the sequence- to-sequence framework. However, unlike se- quence transduction problems such as ma- chine translation, ... See full document
11
Grammatical Error Correction with Neural Reinforcement Learning
... word sequence (ˆ y 1 t−1 ) at test ...most sentence generation tasks, the MLE objec- tive does not necessarily correlate with our final evaluation metrics, such as BLEU (Papineni et ...word level ... See full document
7
Better Evaluation for Grammatical Error Correction
... We have seen that annotators can use longer phrases and that phrases can include un- changed words from the context, e.g., the gold edit from the example in Section 1 is (4, 5, word, {a word, words}). However, it seems ... See full document
5
Integrating sentence and word level error identification for disfluency correction
... word-level identification results (Ta- ble 2), automatically selecting a subset of testing data upon which to apply simple cleanup recon- struction does not perform at the accuracy shown to be possible ... See full document
10
Automatic Grammatical Error Correction for Sequence to sequence Text Generation: An Empirical Study
... fewer grammatical errors compared to GoogComp. In contrast to sentence compression where reference errors are the main reason for the BLEU decrease, the BLEU decrease in sentence simplification usu- ... See full document
6
Neural Sequence Labelling Models for Grammatical Error Correction
... Grammatical Error Correction (GEC) in non- native text attempts to automatically detect and correct errors that are typical of those found in learner ...put sentence, the task is formulated as ... See full document
12
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
... now, error type performance for Grammatical Error Correction (GEC) sys- tems could only be measured in terms of recall because system output is not anno- ...a grammatical ERRor ... See full document
13
Cross Sentence Grammatical Error Correction
... itive sentence-level baseline across multiple test ...cross- sentence model by ensembling multiple models and ...cross- sentence component over the sentence-level base- line ... See full document
11
Near Human Level Performance in Grammatical Error Correction with Hybrid Machine Translation
... source sentence from the JFLEG Test corpus that illustrate the complementarity of the statistical and neural ...unique correction (is change → has changed), but it fails in generating some corrections from ... See full document
7
Ground Truth for Grammatical Error Correction Metrics
... ror type of each correction in response to an ex- plicit error annotation scheme. Due to the inherent subjectivity and poor definition of the task, men- tioned above, it is difficult for annotators to reli- ... See full document
6
Automatic Metric Validation for Grammatical Error Correction
... BLEU. BLEU (Papineni et al., 2002) is a reference-based metric that averages the output- reference n-gram overlap precision values over different ns. While commonly used in MT and other text generation tasks (Sennrich et ... See full document
11
A Meta Learning Approach to Grammatical Error Correction
... We have presented a novel approach to grammatical error correction by building a meta-classifier using multiple GE tagged corpora with different characteristics in various aspects. The experiments ... See full document
5
Erroneous data generation for Grammatical Error Correction
... our error generating method. For each sentence, we assign a proba- bility distribution (as shown in Table 4) to deter- mine the number of errors according to the sen- tence ... See full document
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