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Relevant bibliographies by topics / Grammatical error identification

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Journal articles
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Academic literature on the topic 'Grammatical error identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Grammatical error identification"

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Heryanti, Reni, Muhammad Hadi Sucipto, and Makmur Makmur. "THE ANALYSIS OF COMMON GRAMMATICAL ERRORS IN WRITING NARRATIVE ESSAY OF ENGLISH STUDY PROGRAM STUDENTS AT JAMBI UNIVERSITY." Edukasi: Jurnal Pendidikan dan Pengajaran 4, no. 2 (2017): 83–92. http://dx.doi.org/10.19109/ejpp.v4i2.1674.

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The purpose of this quantitative research is to reveal common grammatical errors in writing narrative essay of English Study Program students at Jambi University. The data were collected through writing test. The data were analyzed by using format error identification. This research reveals twelve errors. They were verb-tense, punctuation, capital letters, word choice, spelling, preposition, pronoun, pluralism, redundancy, word order, article, and possessive case. There were 599 errors happened in students’ papers, and the highest amount of error occurred in verb-tense category. There were 303

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Sutter, Judith C., and Cynthia J. Johnson. "School-Age Children’s Metalinguistic Awareness of Grammaticality in Verb Form." Journal of Speech, Language, and Hearing Research 33, no. 1 (1990): 84–95. http://dx.doi.org/10.1044/jshr.3301.84.

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This study investigated 6-, 7-, and 8-year-old children’s ability to monitor grammaticality in the past progressive, perfect progressive, and perfect verb forms. The children achieved a significantly higher rate of accurate judgments monitoring grammatical forms that ungrammatical forms. Age was a significant factor in error identification. Eight-year-olds were substantially better at identifying ungrammatical forms than were their younger schoolmates. Verb form, in conjunction with type of anomaly, significantly varied with respect to ease of identification. Errors of the auxiliary and suffix

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Bungsu, Oktya Putri, Afrianto Daud, and Masyhur Masyhur. "An Analysis on Students' Grammatical Errors in Writing Degrees of Comparison." Indonesian Journal of Economics, Social, and Humanities 3, no. 1 (2021): 55–63. http://dx.doi.org/10.31258/ijesh.3.1.55-63.

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The objectives of this research are to analyze the types of errors which students made in writing degrees of comparison and to find out the sources of the errors. This research is a mixed-method research, which is a combination of qualitative and quantitative methods within a single research project. Using cluster sampling, 25 third grade students of MTs Masmur Pekanbaru were chosen as the sample of this research. The instruments used to get the data are written tests and semi-structured interviews. The procedure of error analysis was used to analyse the data, which are process of identificati

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MURDIYANA, MURDIYANA. "An Analysis of the Grammatical Errors in Narrative Writing Made by Eleventh-grade Students of One Private Islamic Senior High School Palembang, South Sumatera, Indonesia." Ta'dib: Jurnal Pendidikan Islam 24, no. 1 (2019): 199–210. http://dx.doi.org/10.19109/td.v24i1.3145.

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This study was aimed at finding out: (1) the types of grammatical errors in narrative writing made by eleventh-grade students of one private Islamic senior high school Palembang, South Sumatera, Indonesia and (2) the most frequent type of grammatical errors in narrative writing made by eleventh-grade students of private Islamic senior high school Palembang, South Sumatera, Indonesia. This study was a descriptive qualitative research. The data were collected from narrative writing written by the 32 eleventh grade students. In this study, grammatical items analyzed were covering noun, pronoun, v

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Carrió Pastor, María Luisa, and Eva Mestre Mestre. "A proposal for the tagging of grammatical and pragmatic errors." Research in Corpus Linguistics 1 (2013): 7–16. http://dx.doi.org/10.32714/ricl.01.02.

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Errors should be viewed as a key feature of language learning and language use. In this paper, we focus on the identification and classification of errors that are related to students’ grammar acquisition and pragmatic competence. Our objectives are, first, to propose the tagging of grammatical errors and pragmatic errors according to the competences of the Common European Framework of Reference (CEFR) and, second, to determine where there is a correspondence between the different types of error. In order to meet these objectives, we designed a grid to tag the pragmatic errors produced by stud

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Sychandone, Nokthavivanh. "COMPARATIVE ERROR ANALYSIS IN ENGLISH WRITING BY FIRST, SECOND, AND THIRD YEAR STUDNETS OF ENGLISH DEPARTMENT OF FACULTY OF EDUCATION AT CHAMPASACK UNIVERSITY." Jurnal Penelitian Humaniora 17, no. 1 (2016): 74. http://dx.doi.org/10.23917/humaniora.v17i1.2353.

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levels. To investigate the error types, the frequency of error types, the similarities and difference of errors and the last to find the error sources that occur in first, second and third year learners. Error analysis is one type of linguistic study and it focuses on learners’ error making. The linguistic category and surface strategy taxonomy are used to find out the types of error. The analysis the phenomenon based on Brown (1980) namely, error identification, error classification, Error description and error explanation. The data from students’ writing products, 54 pieces in three levels a

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Sholihin, Sholihin, and Abd Haris. "Error Analysis on Grammatical Aspects in The Students Writing Essay (Case Study At The Fourth Semester Students Of English Education Programme Of STKIP Taman Siswa Bima." Tamaddun 19, no. 1 (2020): 55–67. http://dx.doi.org/10.33096/tamaddun.v19i1.75.

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The purpose of this study was to describe what kinds of error do the students in their writing essay and to describe the reasons why the students make the error in their writing essay at the four semester students of English education Programe of STKIP Taman Siswa Bima. This study applied case study method. The method unsuited to the error analysis procedures (following Chen, 2006:6) informed the processes to analyze the data consisted four steps were Data collection , Identification of errors, Classification of errors into error types, A statement of error frequency, Find out the case of erro

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Izadi, Mehri, and Nahid Yarahmadzehi. "The metalinguistic awareness of bilingual (Persian-Baluchi) and monolingual (Persian) learners of English language." Linguistic Approaches to Bilingualism 10, no. 2 (2018): 249–89. http://dx.doi.org/10.1075/lab.16012.iza.

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Abstract The present study aimed to explore the metalinguistic awareness of Persian- and Persian-Baluchi-speaking students who were in the process of learning English as their second and third languages, respectively. In order to study learners’ metalinguistic awareness in error identification, correction and explanation they were asked to complete a syntactic awareness test. Findings demonstrated that Baluch respondents noted and corrected a greater proportion of grammatical errors than Persian respondents in English. Moreover, Baluch participants had a more grammar-oriented approach in corre

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Putra, F. P., and D. Enda. "Model design for grammatical error identification in software requirements specification using statistics and rule-based techniques." Journal of Physics: Conference Series 1450 (February 2020): 012071. http://dx.doi.org/10.1088/1742-6596/1450/1/012071.

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Dahunsi, Toyese Najeem. "Graduate Employability and Communication Skills: An Investigation of Nigerian Graduates’ Proficiencies and Areas of Deficiencies in Written English." World Journal of English Language 7, no. 3 (2017): 49. http://dx.doi.org/10.5430/wjel.v7n3p49.

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Nigeria is a West African country with English as second and official language. In this study, the proficiency levels of graduates of Nigeria’s higher educational institutions in English were investigated against ever-rising speculations that such graduates were unemployable because they do not have good communication and other employability skills. Essays written by 150 graduate job applicants were used for the research. Error Analysis was used for the identification and categorisation of errors in each essay, using grammar, lexis, punctuation and content as major categories. The first group

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Dissertations / Theses on the topic "Grammatical error identification"

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Xiang, Yang. "Grammatical Error Identification for Learners of Chinese as a Foreign Language." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361927.

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This thesis aims to build a system to tackle the task of diagnosing the grammatical errors in sentences written by learners of Chinese as a foreign language with the help of the CRF model (Conditional Random Field). The goal of this task is threefold: 1) identify if the sentence is correct or not, 2) identify the specific error types in the sentence, 3) find out the location of the identified errors. In this thesis, the task of Chinese grammatical error diagnosis is approached as a sequence tagging problem. The data and evaluation tool come from the previous shared tasks on Chinese Grammatica

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Conference papers on the topic "Grammatical error identification"

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Schmaltz, Allen, Yoon Kim, Alexander M. Rush, and Stuart Shieber. "Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction." In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-0528.

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Wang, Ziwei, Zi Huang, and Yadan Luo. "Human Consensus-Oriented Image Captioning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/92.

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Image captioning aims to describe an image with a concise, accurate, and interesting sentence. To build such an automatic neural captioner, the traditional models align the generated words with a number of human-annotated sentences to mimic human-like captions. However, the crowd-sourced annotations inevitably come with data quality issues such as grammatical errors, wrong identification of visual objects and sub-optimal sentence focus. During the model training, existing methods treat all the annotations equally regardless of the data quality. In this work, we explicitly engage human consensu

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