[PDF] Top 20 A Beam Search Decoder for Grammatical Error Correction
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A Beam Search Decoder for Grammatical Error Correction
... our decoder. Most importantly, PRO tunes the correction count features that bias the decoder against over-correcting sen- tences thus improving ...full decoder model during PRO tuning on HOO- ... See full document
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Better Evaluation for Grammatical Error Correction
... 2. Evaluating the system edits for the complete test set with respect to the gold standard G. The remainder of this section describes a method for solving these two steps. We start by describing how to construct an edit ... See full document
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Corpora Generation for Grammatical Error Correction
... CoNLL-2014 was reported by Junczys-Dowmunt et al. (2018) using an ensemble of neural Trans- former models (Vaswani et al., 2017), where the decoder side of each model is pretrained as a lan- guage model. From a ... See full document
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Erroneous data generation for Grammatical Error Correction
... We used beam search for decoding with a beam size of 4 at evaluation time. For the ensemble, we averaged logits from 4 Transformer models with identical hyper-parameters at each decod- ing step. ... See full document
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Minimally Augmented Grammatical Error Correction
... synthetic error gen- eration method does not require a seed corpus with example errors as most other methods based on sta- tistical error injection (Felice and Yuan, 2014) or back-translation models (Rei et ... See full document
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A Beam Search Decoder for Disfluency Detection
... the beam-search decoder to combine multiple discriminative models such as M3N and multiple generative models such as language models (LM) and perform multi- ple passes of disfluency ...The ... See full document
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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 ...re- search has focused on correcting mistakes in article and preposition ... See full document
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System Combination for Grammatical Error Correction
... a beam search over this graph to find the one-best ...The search is carried out from left to right, one word at a time, creating a partial ...During beam search, it can freely switch ... See full document
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Design of Flash Controller for Single Level Cell NAND Flash Memory
... produce correction bits [1], [7]. These correction bits are produced using two arithmetic operations that is galios multiplication and galios addition ...RS decoder design proposed detects and ... See full document
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Noisy Channel for Low Resource Grammatical Error Correction
... on Grammatical Error Correction ...specific error types and 2) OpenAI’s GPT-2 model, utilizing that it can operate with previous sentences as ...we search for the opti- mal combinations ... See full document
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Grammatical Error Correction with Neural Reinforcement Learning
... To address the issues, we employ a neural encoder-decoder GEC model with a reinforcement learning approach in which we directly optimize the model toward our final objective (i.e., evalua- tion metric). The ... See full document
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Cross Sentence Grammatical Error Correction
... embedding, decoder pretraining, and label ...pretrained decoder from (Chollampatt and Ng, ...The decoder had been pretrained using 100 million sentences ... See full document
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Neural and FST based approaches to grammatical error correction
... Stahlberg et al. (2019) demonstrated the useful- ness of FSTs for grammatical error correction. Their method starts with an input lattice I which is generated with a phrase-based statistical machine ... See full document
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A Tree Transducer Model for Grammatical Error Correction
... in grammatical error cor- rection (Ng et ...grammar correction model is based on a tree-to-string transducer that is specified by a set of rules that each rewrite a tree fragment to a string of words ... See full document
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Grammatical Error Correction with Alternating Structure Optimization
... The seminal work on grammatical error correc- tion was done by Knight and Chander (1994) on arti- cle errors. Subsequent work has focused on design- ing better features and testing different classifiers, ... See full document
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Human Evaluation of Grammatical Error Correction Systems
... automatic grammatical error correction (GEC) sys- ...for grammatical error correction in terms of correlation with human ... See full document
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Grammatical Error Correction in Low Resource Scenarios
... Karel Šebesta, Zuzanna Bedˇrichová, Kateˇrina Šormová, Barbora Štindlová, Milan Hrdliˇcka, Tereza Hrdliˇcková, Jiˇrí Hana, Vladimír Petkeviˇc, Tomáš Jelínek, Svatava Škodová, Petr Janeš, Kateˇrina Lundáková, Hana ... See full document
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Generating artificial errors for grammatical error correction
... correct grammatical errors and context- sensitive spelling mistakes in English and ...one error template, thereby generating many pairs for the same original ... See full document
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RACAI GEC – A hybrid approach to Grammatical Error Correction
... Typos are a distinctive class of errors found in texts written by both native and non-native Eng- lish speakers which do not violate any explicit (local agreement related) grammatical con- straints. Most POS ... See full document
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The CUED’s Grammatical Error Correction Systems for BEA 2019
... We participated in the BEA 2019 Shared Task on grammatical error correction with submissions to the low-resource and the restricted track. Our low- resource system is an extension of prior work on ... See full document
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