Singapore English

Why universities shouldn’t mark down international students for using non-standard English

Retrieved on: 
Thursday, April 18, 2024
Language, Student, Education, Thought, Travel, Singapore English, Research, University, Government, Vocabulary, Management

This process has created not one English, spoken around the globe, but many Englishes.

Key Points: 
  • This process has created not one English, spoken around the globe, but many Englishes.
  • This has implications for universities that teach in English, and may have many non-native English speakers as students.
  • Universities and lecturers should consider what their approach should be to marking work written in non-native or non-standard varieties of English.

Hierarchies of English

  • For some, native speaker English is still seen as the “correct” variety, with native speakers seen as holding sole authority on how the language should be spoken.
  • Even within England, regional dialects may be seen as inferior to “standard” English.
  • In our current research, we focus on a specific world English – China English.
  • While based on standard English, China English has its own specific and identifiable use of grammar and vocabulary, which is predictable and systematic.
  • China English has its own expressions, such as “paper tiger”, meaning something that appears powerful but is in fact weak.
  • This predictability distinguishes China English from “Chinglish”, which refers to translation errors from a Chinese language (usually Mandarin) into English.


Nothing to disclose Alexander Baratta and Paul Vincent Smith do not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

Pulsar Selects Lexalytics to Power AI-Driven, Multilingual NLP To Better Understand Consumer Reactions

Retrieved on: 
Tuesday, April 12, 2022
News, CEO, OEM, Fear, Singapore English, Organization, Human, Artificial intelligence, Growth, Technology, Language, Machine learning, AI, Happiness, Hope, Partnership, Natural language processing, NLP, Public relations, Lexalytics, Salience, Pulsar, Bright

AMHERST, Mass., April 12, 2022 /PRNewswire-PRWeb/ -- Lexalytics®, an InMoment® Company and pioneer in AI-based NLP technology, announced today that Pulsar has chosen Lexalytics' on-premise, AI-driven Salience™ NLP engine to power its audience intelligence platform. The original equipment manufacturer (OEM) agreement brings best-in-class text analytics and sentiment analysis, along with natively processed, multilingual content across channels to Pulsar's global customer base in the areas of social listening, reputation intelligence, and customer experience management. The partnership will also give Pulsar customers the ability to analyze consumer emotions, like fear, hope, happiness, and surprise to better understand consumer reactions to marketing campaigns, current events, and programs. Additionally, the option of an on-premise NLP engine gives Pulsar increased configurability and tunability, while eliminating the costs associated with processing high volumes of data in the cloud.

Key Points: 
  • The partnership will also give Pulsar customers the ability to analyze consumer emotions, like fear, hope, happiness, and surprise to better understand consumer reactions to marketing campaigns, current events, and programs.
  • Additionally, the option of an on-premise NLP engine gives Pulsar increased configurability and tunability, while eliminating the costs associated with processing high volumes of data in the cloud.
  • As Pulsar operates and expands globally, the need for accurate NLP in languages other than English is paramount, especially in the APAC region.
  • "The team at Pulsar is incredibly savvy, and this partnership has generated even more excitement around our investment in emotion detection development at Lexalytics," says Jeff Catlin, Head of Lexalytics.