Challenges and Solutions in Linguistics Under ChatGPT Context

Challenges and Solutions in Linguistics Under ChatGPT Context

Author Introduction Yuan Yulin, male, born in 1962, from Kunshan, Jiangsu Province. Graduated from Peking University in 1990 with a doctorate. Currently a professor in the Department of Chinese Language and Literature at the Faculty of Humanities, University of Macau. His main research areas include theoretical linguistics and Chinese linguistics, particularly syntax, semantics, pragmatics, computational … Read more

The Task of the Translator: From Chinese to English

The Task of the Translator: From Chinese to English

The Task of the Translator: From the Chinese Characters to the English Words In the ever-shifting landscape of human expression, the translator stands at a fascinating intersection. He is both an explorer and an architect, venturing into the untamed wilderness of language, mapping its idiosyncrasies, and constructing bridges of comprehension. There are few challenges more … Read more

Yuan Yulin: Language Design Principles Under Human Habitat Constraints

Yuan Yulin: Language Design Principles Under Human Habitat Constraints

Language Life Research Guest of This Issue Yuan Yulin Professor at the University of Macau, with main research interests in theoretical linguistics and Chinese linguistics. Thinking About Language Design Principles and Operational Mechanisms Under Human Habitat Constraints Yuan Yulin (University of Macau, Department of Chinese Language and Literature, Macau 999078; Peking University, Department of Chinese/Center … Read more

Language Families and Machine Translation Challenges

Language Families and Machine Translation Challenges

Source | Language Spring and Autumn Current machine translation technology can be divided into two categories: one is Rich Resource NMT, which refers to language pairs with abundant bilingual corpora (e.g., Chinese – English); the other is Low Resource NMT, which refers to language pairs lacking sufficient bilingual corpora (e.g., Chinese – Hebrew). Currently, machine … Read more

Why Are Gaokao Essay Topics Called Essay Prompts?

Why Are Gaokao Essay Topics Called Essay Prompts?

Every year, the essay topics in the Chinese National College Entrance Examination (Gaokao) receive widespread attention and coverage. In English, the topic of an essay is not referred to as Questions or Problems, but rather as Essay prompts. Here is an example: Read the material below and write according to the requirements. Mozi said: “View … Read more

Language Data Mining and Python Programming Course

Language Data Mining and Python Programming Course

Click the above “Language Services” to subscribe. Language Data Mining and Python Programming | Course Name | Language Data Mining and Python Programming | Course Introduction | Python is a high-level programming language with a simple and easy-to-learn syntax structure. It emphasizes code readability and clarity, making it an ideal choice for beginners to start … Read more

Study on Characteristics of Machine Translation and Its Relationship with Human Translation

Study on Characteristics of Machine Translation and Its Relationship with Human Translation

This article is sourced from: Originally published in “Chinese Translation”, 2016, Issue 5, Pages 10-14 Reposted from: Damin Says English Abstract: As an automated cross-language conversion activity, the main characteristics of machine translation are manifested in five aspects: automation, mechanical nature, sentence as the translation unit, secondary imitation, and limited contextual constraints. Machine translation cannot … Read more

Language Families and Machine Translation Challenges

Language Families and Machine Translation Challenges

Source | Language Spring and Autumn Current machine translation technology can be divided into two categories: one is Rich Resource NMT, which refers to language pairs with abundant bilingual corpora (such as Chinese – English); the other is Low Resource NMT, which lacks sufficient bilingual corpora (such as Chinese – Hebrew). Current machine translation has … Read more

Feng Zhiwei: Machine Translation Should Strengthen Humanity Core

Feng Zhiwei: Machine Translation Should Strengthen Humanity Core

Expert Introduction Feng Zhiwei, researcher at the Language Application Research Institute of the Ministry of Education, doctoral supervisor, member of the academic committee, computational linguist, specializes in interdisciplinary research in linguistics and computer science. Currently, he is a part-time professor at Peking University, Zhejiang University, and Dalian Maritime University, and a Tianshan Scholar at Xinjiang … Read more

Linguistic Pathways to Intelligent Machine Translation

Linguistic Pathways to Intelligent Machine Translation

Click the blue text to follow us To achieve the basic correctness of transformation in language level is the goal of machine translation in the short term. The linguistic interpreting of neural machine translation system, the full utilization of corpus implicit knowledge and external knowledge, and machine translation learning methods are the urgent problems to … Read more