Papers Grammatical Error Detection
“Grammatical Error Detection” 태그가 달린 논문 101편 · 필터 해제
RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
The importance of clear and correct text in legal documents cannot be understated, and, consequently, a grammatical error correction tool meant to assist a professional in the law must have the ability to understand the …
Grammatical Error CorrectionGrammatical Error DetectionIMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator
We propose IMPARA-GED, a novel reference-free automatic grammatical error correction (GEC) evaluation method with grammatical error detection (GED) capabilities. We focus on the quality estimator of IMPARA, an existing a…
Grammatical Error CorrectionGrammatical Error DetectionLanguage ModelingLanguage Modelling+1Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts
The quality of natural language texts in fine-tuning datasets plays a critical role in the performance of generative models, particularly in computational creativity tasks such as poem or song lyric generation. Fluency d…
Anomaly DetectionGrammatical Error DetectionSentenceARWI: Arabic Write and Improve
Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that helps learners improve essay writing in Mo…
Automated Essay ScoringGrammatical Error DetectionEnhancing Grammatical Error Detection using BERT with Cleaned Lang-8 Dataset
This paper presents an improved LLM based model for Grammatical Error Detection (GED), which is a very challenging and equally important problem for many applications. The traditional approach to GED involved hand-design…
Grammatical Error CorrectionGrammatical Error DetectionBangla Grammatical Error Detection Leveraging Transformer-based Token Classification
Bangla is the seventh most spoken language by a total number of speakers in the world, and yet the development of an automated grammar checker in this language is an understudied problem. Bangla grammatical error detecti…
Grammatical Error Detectiontoken-classificationToken ClassificationGECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction
Sophisticated grammatical error detection/correction tools are available for a small set of languages such as English and Chinese. However, it is not straightforward -- if not impossible -- to adapt them to morphological…
Grammatical Error DetectionOddballness: universal anomaly detection with language models
We present a new method to detect anomalies in texts (in general: in sequences of any data), using language models, in a totally unsupervised manner. The method considers probabilities (likelihoods) generated by a langua…
Anomaly DetectionGrammatical Error DetectionLanguage ModelingLanguage ModellingZero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection
Grammatical Error Detection (GED) methods rely heavily on human annotated error corpora. However, these annotations are unavailable in many low-resource languages. In this paper, we investigate GED in this context. Lever…
Cross-Lingual TransferGrammatical Error DetectionSynthetic Data GenerationZero-Shot Cross-Lingual TransferGECTurk: Grammatical Error Correction and Detection Dataset for Turkish
Grammatical Error Detection and Correction (GEC) tools have proven useful for native speakers and second language learners. Developing such tools requires a large amount of parallel, annotated data, which is unavailable …
ArticlesDecoderGrammatical Error CorrectionGrammatical Error Detection+3Evaluation of really good grammatical error correction
Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods f…
Grammatical Error CorrectionGrammatical Error DetectionAdvancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation
Grammatical error correction (GEC) is a well-explored problem in English with many existing models and datasets. However, research on GEC in morphologically rich languages has been limited due to challenges such as data …
Grammatical Error CorrectionGrammatical Error DetectionBangla Grammatical Error Detection Using T5 Transformer Model
This paper presents a method for detecting grammatical errors in Bangla using a Text-to-Text Transfer Transformer (T5) Language Model, using the small variant of BanglaT5, fine-tuned on a corpus of 9385 sentences where e…
Grammatical Error DetectionLanguage ModelingLanguage Modellingmodel+1Probing for targeted syntactic knowledge through grammatical error detection
Targeted studies testing knowledge of subject-verb agreement (SVA) indicate that pre-trained language models encode syntactic information. We assert that if models robustly encode subject-verb agreement, they should be a…
DiagnosticGrammatical Error DetectionFCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction
Grammatical Error Correction (GEC) has been broadly applied in automatic correction and proofreading system recently. However, it is still immature in Chinese GEC due to limited high-quality data from native speakers in …
Grammatical Error CorrectionGrammatical Error DetectionSemi-automatically Annotated Learner Corpus for Russian
We present ReLCo— the Revita Learner Corpus—a new semi-automatically annotated learner corpus for Russian. The corpus was collected while several thousand L2 learners were performing exercises using the Revita language-l…
Grammatical Error CorrectionGrammatical Error DetectionA Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models
We train several language models for Icelandic, including IceBERT, that achieve state-of-the-art performance in a variety of downstream tasks, including part-of-speech tagging, named entity recognition, grammatical error…
Constituency ParsingGrammatical Error Detectionnamed-entity-recognitionNamed Entity Recognition+3The Tembusu Treebank: An English Learner Treebank
This paper reports on the creation and development of the Tembusu Learner Treebank — an open treebank created from the NTU Corpus of Learner English, unique for incorporating mal-rules in the annotation of ungrammatical …
Grammatical Error DetectionApproximate Conditional Coverage & Calibration via Neural Model Approximations
A typical desideratum for quantifying the uncertainty from a classification model as a prediction set is class-conditional singleton set calibration. That is, such sets should map to the output of well-calibrated selecti…
ClassificationDocument ClassificationFact VerificationGrammatical Error Detection+3Syntax-guided Contrastive Learning for Pre-trained Language Model
Syntactic information has been proved to be useful for transformer-based pre-trained language models. Previous studies often rely on additional syntax-guided attention components to enhance the transformer, which require…
Contrastive LearningGrammatical Error DetectionLanguage ModelingLanguage Modelling