Approach in Teaching Standard English to Native Speakers
Why native English speakers fail to be understood in English
10 Reasons to Learn Language With Native Speakers
(PDF) Connector Usage in the English Essay Writing of Native and Non
How to Write Like a Native English Speaker
(PDF) Seven EFL Writing Advantages of Non-Native Writers Over Native
COMMENTS
AI-Detectors Biased Against Non-Native English Writers
The numbers are grim. While the detectors were "near-perfect" in evaluating essays written by U.S.-born eighth-graders, they classified more than half of TOEFL essays (61.22%) written by non-native English students as AI-generated (TOEFL is an acronym for the Test of English as a Foreign Language). It gets worse.
The Louvain Corpus of Native English Essays (LOCNESS)
LOCNESS is a corpus of native English essays made up of: British pupils' A level essays: 60,209 words. British university students essays: 95,695 words. American university students' essays: 168,400 words. Total number of words: 324,304 words. LOCNESS is available under the following conditions: the corpus is to be used for non-commercial ...
AI's Dirty Little Secret: Stanford Researchers Expose Flaws in Text
They ran 91 English essays written by non-native English speakers for a widely recognized English proficiency test, called Test of English as a Foreign Language, or TOEFL, through the detectors. These platforms incorrectly labeled more than half of the essays as AI-generated, with one detector flagging nearly 98% of these essays as written by AI.
Can I, as a reviewer, tell authors to get a native English speaker to
The paper was written by a bunch of native speakers who have funny names. Yes, I have seen this happen. The review has terrible grammar. This happens > 30% of the time. An implication of bias, which can be avoided by replacing "native English speaker" with "expert editor" or similar.
GPT detectors are biased against non-native English writers
GPT detectors exhibit bias against non-native English authors. GPT detectors exhibit significant bias against non-native English authors, as demonstrated by their high misclassification of TOEFL essays written by non-native speakers. In our study, we evaluated the performance of seven widely used GPT detectors on 91 TOEFL (Test of English as a ...
AI Detector Mislabels Essays by Non-Native English Speakers
An AI detector mislabeled nearly every essay written by a non-native English speaker as being written by a bot. Gabriel Rivera. Jul 13, 2023, 1:57 AM PDT. Stanford researchers found that some of ...
AI-detection programs discriminate against non-native English speakers
The researchers then used essays written by eight-graders in the US who are native speakers of the English language to test the same tools. More than 90 percent of them were reported to be written ...
Another AI Issue for Schools to Know About: Bias Against Non-Native
They did the same with a sample of essays written by U.S. 8th graders who were native English speakers. The tools incorrectly labeled more than half of the TOEFL essays as AI-generated, while ...
First major database of non-native English
Caption: English is the most used language on the Internet, and globally most of the people who speak or write in English are non-native speakers. A new database of annotated English sentences written by non-native speakers could help improve how computers handle the spoken or written language of non-native English speakers.
PDF Automated Essay Scoring for Nonnative English Speakers
Written English (TWE) essay responses written by nonnative English speakers whose native language is Chinese, Arabic, or Spanish. A small sample of the data is from US-born English speakers and a second small sample is from non-US-born candidates who report that their native language is English. The data were originally collected for a study by ...
AI Detectors Discriminate Against Non-Native Speakers, Says Stanford
The higher the perplexity and more surprising text is, the more likely it was written by a human, at least in theory. This theory, the study authors conclude, seems to break down somewhat when evaluating writing from non-native English speakers who generally "use a more limited range of linguistic expressions."
Detecting ChatGPT-generated essays in a large-scale writing assessment
From these human-written responses, we randomly sampled an equal number of essays submitted by native and non-native English speakers from each prompt to ensure that the two populations would be equally represented in the data (see Fig. 1).Random sampling enables us to obtain a sample that is representative of the essays written by GRE test takers.
The use of artificial intelligence to improve the scientific writing of
INTRODUCTION. Most scientific papers in the world literature are written in English 1 by non-native English speakers 2.Non-native English-speaking scientists face many difficulties in writing clearly, succinctly, and without grammatical errors 3,4.Nevertheless, despite the use of word processors and spell checkers, the final text still does not compare favorably with those created by native ...
GPT detectors can be biased against non-native English writers
They ran 91 English essays written by non-native English speakers for a widely recognized English proficiency test, called Test of English as a Foreign Language, or TOEFL, through the detectors.
A Corpus of Non-Native Written English Annotated for Metaphor
Abstract. We present a corpus of 240 argumentative essays written by non-native speakers of English annotated for metaphor. The corpus is made publicly available. We provide benchmark performance of state-of-the-art systems on this new corpus, and explore the relationship between writing proficiency and metaphor use. Anthology ID: N18-2014.
An Investigation of Native and Non-Native English Speakers' Levels of
However, the vast majority of studies in English research writing has focused either on native speakers of English or on comparisons between English mother-tongue writers and others (Granger ...
AI detectors have a bias against non-native English speakers
"A majority of essays written by non-native English speakers are falsely flagged by all the detectors as AI-generated," said Zou. Over half of the non-native English writing samples were misclassified as AI generated, with one detector flagging nearly 98% of the TOEFL essays, while the accuracy for native samples remained near perfect.
GPT detectors are biased against non-native English writers
In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers. Our findings reveal that these detectors consistently misclassify non-native English writing samples as AI-generated, whereas native writing samples are accurately identified.
AI Detectors Discriminate Against Non-Native English Speakers
Across all seven GPT detectors, the average false detection rate for the essays written by non-native English speakers was 61.3%. At least one of the detectors erroneously labeled nearly 98% of ...
PDF Exploring effective methods for automated essay scoring of non-native
In conclusion, KKU-AELT AES system is a process that uses machine learning algorithms to evaluate the quality of written English of non-native English speakers. It analyzes various linguistic features such as grammar, vocabulary, coherence, and organization to assign a score to a piece of text.
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by Native English Speakers and Vietnamese EFL Learners. Tram-Anh Tran Nguyen; Sang-Geun Lee. ... By using both quantitative and qualitative analysis of 90 essays (30 from NESs, 30 from advanced Vietnamese EFL learners, and 30 from intermediate Vietnamese EFL learners), we ...
What is the hardest language to learn as a native English speaker?
For English-speaking students, the hardest foreign languages to learn include Arabic, Cantonese, Mandarin, Japanese, and Korean. For instance, Arabic has complex grammar and a different alphabet ...
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by Native English Speakers and Vietnamese EFL Learners. Tram-Anh Tran Nguyen 1, Sang-Geun Lee 2. Help me understand this report. This publication either has no citations yet, or we are still processing them.
Common writing mistakes made by non-native English speakers
Below we will take a look at some of the most common mistakes and misunderstandings of these subtleties made by non-native speakers. 1. Use of the definite (the) and indefinite (a/an) article. One mistake that often signals that the person is writing in a second language is the use of articles. The definite article, the, always precedes a noun ...
The Easiest Language to Learn for Native English Speakers
Additionally, there are 21 Spanish-speaking countries with Spanish as their official language, and many others with significant populations of people who speak Spanish as their first language or as a second language. This makes Spanish the most widely spoken Romance language. Linguistic Similarity. Spanish and English share a significant amount of vocabulary due to their Latin roots.
Pragmatic Competence in an Email Writing Task: Influences of Situation
The study examines a corpus of 306 request emails written by 32 English-speaking (ES) teachers and 121 L2 learners from distinctive L1 backgrounds (i.e., Chinese, French, Spanish) and with different levels of L2 proficiency.
IMAGES
COMMENTS
The numbers are grim. While the detectors were "near-perfect" in evaluating essays written by U.S.-born eighth-graders, they classified more than half of TOEFL essays (61.22%) written by non-native English students as AI-generated (TOEFL is an acronym for the Test of English as a Foreign Language). It gets worse.
LOCNESS is a corpus of native English essays made up of: British pupils' A level essays: 60,209 words. British university students essays: 95,695 words. American university students' essays: 168,400 words. Total number of words: 324,304 words. LOCNESS is available under the following conditions: the corpus is to be used for non-commercial ...
They ran 91 English essays written by non-native English speakers for a widely recognized English proficiency test, called Test of English as a Foreign Language, or TOEFL, through the detectors. These platforms incorrectly labeled more than half of the essays as AI-generated, with one detector flagging nearly 98% of these essays as written by AI.
The paper was written by a bunch of native speakers who have funny names. Yes, I have seen this happen. The review has terrible grammar. This happens > 30% of the time. An implication of bias, which can be avoided by replacing "native English speaker" with "expert editor" or similar.
GPT detectors exhibit bias against non-native English authors. GPT detectors exhibit significant bias against non-native English authors, as demonstrated by their high misclassification of TOEFL essays written by non-native speakers. In our study, we evaluated the performance of seven widely used GPT detectors on 91 TOEFL (Test of English as a ...
An AI detector mislabeled nearly every essay written by a non-native English speaker as being written by a bot. Gabriel Rivera. Jul 13, 2023, 1:57 AM PDT. Stanford researchers found that some of ...
The researchers then used essays written by eight-graders in the US who are native speakers of the English language to test the same tools. More than 90 percent of them were reported to be written ...
They did the same with a sample of essays written by U.S. 8th graders who were native English speakers. The tools incorrectly labeled more than half of the TOEFL essays as AI-generated, while ...
Caption: English is the most used language on the Internet, and globally most of the people who speak or write in English are non-native speakers. A new database of annotated English sentences written by non-native speakers could help improve how computers handle the spoken or written language of non-native English speakers.
Written English (TWE) essay responses written by nonnative English speakers whose native language is Chinese, Arabic, or Spanish. A small sample of the data is from US-born English speakers and a second small sample is from non-US-born candidates who report that their native language is English. The data were originally collected for a study by ...
The higher the perplexity and more surprising text is, the more likely it was written by a human, at least in theory. This theory, the study authors conclude, seems to break down somewhat when evaluating writing from non-native English speakers who generally "use a more limited range of linguistic expressions."
From these human-written responses, we randomly sampled an equal number of essays submitted by native and non-native English speakers from each prompt to ensure that the two populations would be equally represented in the data (see Fig. 1).Random sampling enables us to obtain a sample that is representative of the essays written by GRE test takers.
INTRODUCTION. Most scientific papers in the world literature are written in English 1 by non-native English speakers 2.Non-native English-speaking scientists face many difficulties in writing clearly, succinctly, and without grammatical errors 3,4.Nevertheless, despite the use of word processors and spell checkers, the final text still does not compare favorably with those created by native ...
They ran 91 English essays written by non-native English speakers for a widely recognized English proficiency test, called Test of English as a Foreign Language, or TOEFL, through the detectors.
Abstract. We present a corpus of 240 argumentative essays written by non-native speakers of English annotated for metaphor. The corpus is made publicly available. We provide benchmark performance of state-of-the-art systems on this new corpus, and explore the relationship between writing proficiency and metaphor use. Anthology ID: N18-2014.
However, the vast majority of studies in English research writing has focused either on native speakers of English or on comparisons between English mother-tongue writers and others (Granger ...
"A majority of essays written by non-native English speakers are falsely flagged by all the detectors as AI-generated," said Zou. Over half of the non-native English writing samples were misclassified as AI generated, with one detector flagging nearly 98% of the TOEFL essays, while the accuracy for native samples remained near perfect.
In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers. Our findings reveal that these detectors consistently misclassify non-native English writing samples as AI-generated, whereas native writing samples are accurately identified.
Across all seven GPT detectors, the average false detection rate for the essays written by non-native English speakers was 61.3%. At least one of the detectors erroneously labeled nearly 98% of ...
In conclusion, KKU-AELT AES system is a process that uses machine learning algorithms to evaluate the quality of written English of non-native English speakers. It analyzes various linguistic features such as grammar, vocabulary, coherence, and organization to assign a score to a piece of text.
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by Native English Speakers and Vietnamese EFL Learners. Tram-Anh Tran Nguyen; Sang-Geun Lee. ... By using both quantitative and qualitative analysis of 90 essays (30 from NESs, 30 from advanced Vietnamese EFL learners, and 30 from intermediate Vietnamese EFL learners), we ...
For English-speaking students, the hardest foreign languages to learn include Arabic, Cantonese, Mandarin, Japanese, and Korean. For instance, Arabic has complex grammar and a different alphabet ...
An Analysis of Hedges/Intensifiers in Argumentative Essays Written by Native English Speakers and Vietnamese EFL Learners. Tram-Anh Tran Nguyen 1, Sang-Geun Lee 2. Help me understand this report. This publication either has no citations yet, or we are still processing them.
Below we will take a look at some of the most common mistakes and misunderstandings of these subtleties made by non-native speakers. 1. Use of the definite (the) and indefinite (a/an) article. One mistake that often signals that the person is writing in a second language is the use of articles. The definite article, the, always precedes a noun ...
Additionally, there are 21 Spanish-speaking countries with Spanish as their official language, and many others with significant populations of people who speak Spanish as their first language or as a second language. This makes Spanish the most widely spoken Romance language. Linguistic Similarity. Spanish and English share a significant amount of vocabulary due to their Latin roots.
The study examines a corpus of 306 request emails written by 32 English-speaking (ES) teachers and 121 L2 learners from distinctive L1 backgrounds (i.e., Chinese, French, Spanish) and with different levels of L2 proficiency.