منابع مشابه
Detecting English Writing Styles For Non-native Speakers
Analyzing writing styles of non-native speakers is a challenging task. In this paper, we analyze the comments written in the discussion pages of the English Wikipedia. Using learning algorithms, we are able to detect native speakers’ writing style with an accuracy of 74%. Given the diversity of the English Wikipedia users and the large number of languages they speak, we measure the similarities...
متن کاملAdaptive Learning in Computing for Non-English Speakers
The mastery of foreign languages has become a core competency for Computing students both in the pursuit of their studies and to facilitate their future job search. The European Commission has identified CLIL (Content and Language Integrated Learning) as a strong alternative to Language Immersion and Content-Based Instruction. CLIL refers to “educational settings where a language other than the...
متن کاملDisadvantages of publishing biomedical research articles in English for non-native speakers of English
OBJECTIVES English has become the most frequently used language for scientific communication in the biomedical field. Therefore, scholars from all over the world try to publish their findings in English. This trend has a number of advantages, along with several disadvantages. METHODS In the current article, the most important disadvantages of publishing biomedical research articles in English...
متن کاملEnglish and Korean Speakers’
In this study, I carried out a quasi-experimental task that attempted to examine some aspects of the Sapir/Whorf hypothesis; namely, the extent to which the grammar of one’s language affects one’s way of thinking about the experienced world. A task was designed to evaluate the influence that language operates on the mind of native English and Korean speakers in the categorization of spatial act...
متن کاملDetecting errors in English article usage by non-native speakers
One of the most difficult challenges faced by non-native speakers of English is mastering the system of English articles. We trained a maximum entropy classifier to select among a/an, the, or zero article for noun phrases (NPs), based on a set of features extracted from the local context of each. When the classifier was trained on 6 million NPs, its performance on published text was about 83% c...
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ژورنال
عنوان ژورنال: Nature
سال: 1992
ISSN: 0028-0836,1476-4687
DOI: 10.1038/360203b0