How do you correct run-on sentences it’s not as easy as it seems

Zheng, Junchao; Napoles, Courtney; Tetreault, Joel; Omelianchuk, Kostiantyn

doi:10.18653/v1/w18-6105

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Run-on sentences: consist of at least two main or independent clauses that are not combined by a conjunction or divided by a punctuation mark (Zheng et al, 2018).…”

Section: Research Question 2: How Many Types Of Sentence Structures D...mentioning

confidence: 99%

Common syntactic errors in the writing skills of the 3rd year students at Van Lang University

Pham,

Pham

2024

ijte

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This study aimed to analyze common syntactic errors found in the argumentative essays of third-year English major students at the Faculty of Foreign Languages, Van Lang University, Vietnam. Quantitative and qualitative methods were used to obtain data in this study. The quantitative approach involved counting and calculating the frequency, percentage, and ranking of syntactic errors, while the qualitative method was adopted to explain these errors. The instrument for collecting data was argumentative essays written by 37 third-year English majors enrolling in Writing-5 at Van Lang University. Microsoft Word was used to collect and analyze syntactic errors and sentence structures, while Microsoft Excel was employed to calculate the frequency and rank of these errors and structures. The results found that the five most frequent errors in their essays were at the noun phrase and sentence levels. These errors included run-on sentences, preposition errors, article errors, sentence fragments, and pronoun errors. Through error analysis, it was indicated that the majority of errors made by students were due to the negative transfer from their first language and the literal translation. Based on the findings, language teachers and syllabus designers could use these results as guidance to design appropriate teaching methods and materials.

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“…Run-on sentences: consist of at least two main or independent clauses that are not combined by a conjunction or divided by a punctuation mark (Zheng et al, 2018).…”

Section: Research Question 2: How Many Types Of Sentence Structures D...mentioning

confidence: 99%

Common syntactic errors in the writing skills of the 3rd year students at Van Lang University

Pham,

Pham

2024

ijte

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“…Error types are often used to improve performance and evaluation in GEC. Taxonomies have been used to construct classifiers and rule-based engines to correct specific error types (e.g., Zheng et al, 2018). When using end-to-end systems, balancing the distribution of errors in the train and test sets has been shown to improve results (Junczys-Dowmunt et al, 2018).…”

Section: Related Workmentioning

confidence: 99%

Classifying Syntactic Errors in Learner Language

Choshen

Nikolaev

Berzak

et al. 2020

Proceedings of the 24th Conference on Computational Natural Language Learning

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We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence. The methodology builds on the established Universal Dependencies syntactic representation scheme, and provides complementary information to other error-classification systems. Unlike existing error classification methods, our method is applicable across languages, which we showcase by producing a detailed picture of syntactic errors in learner English and learner Russian. We further demonstrate the utility of the methodology for analyzing the outputs of leading Grammatical Error Correction (GEC) systems. * First two authors contributed equally. 1 Code can be found in github repo GEC UD divergences. Matrices directly mentioned are included in the appendix. ... if you like a subject you 'll study it easierADJ xcomp Source:... if you like a subject you 'll study it more easilyADV

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“…For spell checking, Flor and Futagi (2012) used document-level context to check if a candidate correction for a misspelled word had been used earlier in the document. Zheng et al (2018) proposed splitting runon sentences into separate sentences. However, they did not use cross-sentence context.…”

Section: Related Workmentioning

confidence: 99%

Cross-Sentence Grammatical Error Correction

Chollampatt¹,

Wang²,

Ng³

2019

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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Automatic grammatical error correction (GEC) research has made remarkable progress in the past decade. However, all existing approaches to GEC correct errors by considering a single sentence alone and ignoring crucial cross-sentence context. Some errors can only be corrected reliably using cross-sentence context and models can also benefit from the additional contextual information in correcting other errors. In this paper, we address this serious limitation of existing approaches and improve strong neural encoder-decoder models by appropriately modeling wider contexts. We employ an auxiliary encoder that encodes previous sentences and incorporate the encoding in the decoder via attention and gating mechanisms. Our approach results in statistically significant improvements in overall GEC performance over strong baselines across multiple test sets. Analysis of our cross-sentence GEC model on a synthetic dataset shows high performance in verb tense corrections that require cross-sentence context.

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How do you correct run-on sentences it’s not as easy as it seems

Cited by 3 publications

References 13 publications

Common syntactic errors in the writing skills of the 3rd year students at Van Lang University

Common syntactic errors in the writing skills of the 3rd year students at Van Lang University

Classifying Syntactic Errors in Learner Language

Cross-Sentence Grammatical Error Correction

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