[PDF] Top 20 Controlling Grammatical Error Correction Using Word Edit Rate
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Controlling Grammatical Error Correction Using Word Edit Rate
... containing grammatical errors written by an English learner vary from annotator to annotator (Bryant and Ng, ...of correction in terms of the amount of corrections per sentence than that in the CoNLL-2014 ... See full document
6
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
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Automatic Metric Validation for Grammatical Error Correction
... least edit types, and GLEU penalizes the most, providing another perspective on GLEU’s negative Kendall τ ...the word that [∅ ; is] popular”), are often rewarded by the ... See full document
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A Tree Transducer Model for Grammatical Error Correction
... single word is substituted (in the example, “sprang” with “sprung”), a rule for this substitu- tion will be extracted ...the word “sprung” to the rule headed by SBAR (4), which would clearly not have been ... See full document
9
Corpora Generation for Grammatical Error Correction
... These round trip translated sentence-pairs con- tained only a small fraction of identity transla- tions compared to those that are present in real- world GEC corpora. To address this deficiency, we augment this corpus ... See full document
11
Erroneous data generation for Grammatical Error Correction
... The models are trained on words, and rare words are segmented into sub-words with the byte pair encoding (BPE) (Sennrich et al., 2015). We use 6 layers for both encoder and decoder, and 4 attention heads. The embedding ... See full document
10
Grammatical Error Correction: Machine Translation and Classifiers
... (2) illustrate verb errors with long-distance sub- jects (“one” and “patients”). This is handled in the classification approach via syntactic features. An MT system misses these errors because it is limited to edits ... See full document
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Better Evaluation for Grammatical Error Correction
... source sentences, system hypotheses, and correc- tions are tokenized using the Penn Treebank stan- dard (Marcus et al., 1993). The character edit offsets are automatically converted to token offsets. We set ... See full document
5
Constrained Grammatical Error Correction using Statistical Machine Translation
... manner using hand- coded rules including operations such as chang- ing quantifiers (much → many), generating plurals (advice → advices) or inserting unnecessary deter- ...Microsoft Word 2003 grammar ... See full document
10
Grammatical Error Correction in Low Resource Scenarios
... The third approach is to create synthetic corpus from a clean monolingual corpus and use it as ad- ditional data for training. Noise is typically intro- duced either by rule-based substitutions or by us- ing a subset of ... See full document
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Using Wikipedia Edits in Low Resource Grammatical Error Correction
... substitution error where both adjec- tives have the same lemma (S:ADJ:FORM), the inflected deverbal adjective bestandenen ‘passed’ is inserted before Pr¨ufung ‘exam’ (I:ADJ), and the past participle bestanden ... See full document
6
Ground Truth for Grammatical Error Correction Metrics
... which grammatical error correction (GEC) system is best? A num- ber of metrics have been proposed over the years, each motivated by weaknesses of previous metrics; however, the metrics themselves ... See full document
6
Chinese Grammatical Error Diagnosis Using Single Word Embedding
... Chinese Grammatical Error Diagnosis . In contrast of traditional word-based embedding (Mikolov et ...single word embedding was used as input of CNN and LSTM, which is similar to ... See full document
7
A Meta Learning Approach to Grammatical Error Correction
... We emphasize the fact that the two learner corpora differ from each other in three aspects. The first aspect is the styles of the texts: the CLC is literary whereas the JLE is colloquial. The second is the error ... See full document
5
Generating artificial errors for grammatical error correction
... computing word confusions in an error-annotated ESL cor- pora and using these distributions to change tar- get words accordingly in error-free ...an error-tagged corpus (i.e. the ... See full document
11
A Beam Search Decoder for Grammatical Error Correction
... the correction count features that bias the decoder against over-correcting sen- tences thus improving ...most correction count features receive negative weights, thus acting as a bias against ... See full document
11
Human Evaluation of Grammatical Error Correction Systems
... automatic grammatical error correc- tion (GEC) has seen a number of shared tasks of different scope and for different ...on Grammatical Error Correction for ESL (English as a second ... See full document
10
Grammatical Error Correction with Alternating Structure Optimization
... observed word choice of the writer is included as a ...the correction provided by the human annotator. As the observed word is part of the features, this model does not need an ex- tra thresholding ... See full document
9
Grammatical Error Correction with Neural Reinforcement Learning
... homophone error (there ...more grammatical by adding a possessive ...The correction by MLE looks fairly fluent as well as grammatical, but it is se- mantically ...The correction by NRL ... See full document
7
Grammatical Error Detection Using Error and Grammaticality Specific Word Embeddings
... ical error detection; however, we focus on learn- ing word embeddings that consider a learner’s er- ror pattern and grammaticality of the target ...our word embeddings give statistically significant ... See full document
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