Source: AI Technology Review This article is approximately 6625 words long and is recommended to be read in 10 minutes. This article introduces a deep discussion by Professor Sun Maosong, Executive Vice Dean of the Institute of Artificial Intelligence at Tsinghua University, on the contributions, current state, and future challenges of natural language processing. Recently, … Read more
This article is adapted from the public account: Quantitative Linguistics This short article was published in “Terminology Standardization and Information Technology” in 2001, and it has been 20 years since then. This is the last article I published during my amateur study of linguistics. This article not only marks the end of my identity as … Read more
Author | Wang Zeyang Organization | Niutrans Editor | Tang Li Reprinted from WeChat Official Account | AI Technology Review This article is submitted by Wang Zeyang, a graduate student from the Natural Language Processing Laboratory of Northeast University. Wang Zeyang’s research direction is machine translation. Niutrans, whose core members come from the Natural Language … Read more
Human-Machine Translation: Operation Methods of Twinslator Platform Features 1. Tool Introduction Twinslator is short for “Twins Translator”; in Chinese, it translates to “Twin Translators”. At the first Transcendence Conference in 2018, He Enpei, the president of Transcendence Language Internet Technology Co., Ltd., proposed: “The good model of human-machine translation is to let AI grow alongside … Read more
Introduction to Post-Editing in Machine Translation In recent years, although machine translation technology has made significant progress, overall, the quality of machine translation still cannot be compared with human translation. In this context, the model combining machine translation with post-editing has rapidly developed, leveraging the speed (efficiency) of machine translation while also harnessing the accuracy … Read more
1. Background Introduction With the rapid development of natural language processing technology, machine translation has become an important research field. In recent years, large model-based language models have made significant progress in machine translation tasks. These large models usually have hundreds of millions or even hundreds of billions of parameters, enabling them to better understand … Read more
From June 5 to 6, 2021, the 2021 Global Artificial Intelligence Technology Conference was successfully held in Hangzhou, guided by the China Association for Science and Technology, the Chinese Academy of Sciences, the Chinese Academy of Engineering, and the Zhejiang Provincial People’s Government. The conference was hosted by the Chinese Association for Artificial Intelligence and … Read more
April 26, 2023 System Launch On April 26, 2023, the China Patent Information Center (hereinafter referred to as the “Information Center”) officially launched the new generation patent machine translation system for the global market, aimed at helping domestic and foreign enterprises and intellectual property service organizations easily solve the challenges of multilingual patent document translation. … Read more
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
Large Language Models (LLMs) are a type of artificial intelligence model designed to understand and generate human language. They are trained on vast amounts of text data and can perform a wide range of tasks, including text summarization, translation, sentiment analysis, and more. LLMs are characterized by their large scale, containing billions of parameters, which … Read more