Core Principles of Machine Translation Technology

Core Principles of Machine Translation Technology

Machine translation technology has developed for over 80 years. The legend of the Tower of Babel is now a thing of the past; we can no longer reach the heavens. However, machine translation can help you discuss the World Cup elegantly with people all over the world, avoiding misunderstandings. 01 Machine Translation and the Legend … Read more

Current Challenges in Machine Translation Technology

Current Challenges in Machine Translation Technology

This article is sourced from: New Intelligence Yuan Reprinted from: Machine Translation Observation On May 30, the 4th session of the Zhiyuan Forum, hosted by the Beijing Zhiyuan Artificial Intelligence Research Institute, titled “Knowledge and Cognitive Graphs,” was successfully held at Tsinghua University. Liu Yang, a tenured associate professor in the Department of Computer Science … Read more

Neural Machine Translation: Better Than Human Translation

Neural Machine Translation: Better Than Human Translation

Neural Machine Translation Systran is a language solutions provider headquartered in Paris, France. Recently, the company released a “Neural Machine Translation” engine, which is primarily targeted at enterprise-level users with its PNMT (Pure Neutral Machine Translation). Systran claims that this translation tool is very close to the fluency level of human translators, and according to … Read more

Focus on Terminology Hot Words: Unsupervised Machine Translation

Focus on Terminology Hot Words: Unsupervised Machine Translation

This article is a joint introduction to computer industry terminology launched by the CCF Computer Terminology Review Committee and the CCF Natural Language Processing Special Committee. The hot word selected for this issue is Unsupervised Machine Translation, which is one of the current popular research directions. Unsupervised machine translation methods no longer rely on large-scale … Read more

Differences Between Machine Translation and Human Translation

Differences Between Machine Translation and Human Translation

Editor’s Note: Today, there are actually not many people who truly understand science, and even fewer who can popularize science. Popular science is a process of communication, turning science into something visible and guiding people to live better. To successfully carry out the 2021 Science and Technology Week activities, further popularize scientific and cultural knowledge, … Read more

Neural Machine Translation Technology

Neural Machine Translation Technology

Think Tank Highlights #Global Defense Dynamics #US Military Dynamics #Russian Military Dynamics #Taiwan Affairs #Micro Store Sales #South Korea #Raytheon #Japan #Electronic Warfare #Northeast Asia Military Dynamics #Drones Neural Machine Translation Technology Author: Military Eagle Think Tank Source: Military Eagle Dynamics Neural Machine Translation (Neural Machine Translation, hereinafter referred to as “NMT”) is a self-driven … Read more

Multidimensional Examination of Machine Translation

Multidimensional Examination of Machine Translation

Machine translation originated from research in Natural Language Processing (NLP), which is an intersection of linguistics and artificial intelligence, and can be seen as the practice of empowering translation through artificial intelligence technology. Currently, large language models represented by GPT, through deep learning on massive amounts of data, have gained powerful semantic analysis capabilities, allowing … Read more

Applications of Deep Learning in Natural Language Processing

Applications of Deep Learning in Natural Language Processing

Source: “Communications of the China Computer Federation” 2015 Issue 3 “Special Topic” Authors: Liu Shujie, Dong Li, Zhang Jiajun, et al. Introduction to Deep Learning Deep learning is one of the most rapidly developing fields in machine learning in recent years. Strictly speaking, deep learning is not a completely new machine learning method, but a … Read more

Introduction to Explainable Natural Language Processing Methods

Introduction to Explainable Natural Language Processing Methods

Follow the official account “ML_NLP“ Set as “Starred“, valuable content delivered to you first! Author: Yang Chongyang, Harbin Institute of Technology SCIR 1. Introduction Traditional natural language processing methods are interpretable, including rule-based methods, decision tree models, hidden Markov models, logistic regression, etc., which are also known as white-box techniques. In recent years, deep learning … Read more

Nine Research Hotspots in Natural Language Processing

Nine Research Hotspots in Natural Language Processing

On the morning of May 23, 2020, at the “ACL-IJCAI-SIGIR Top Conference Paper Reporting Meeting (AIS 2020)” organized by the Youth Working Committee of the Chinese Chinese Information Society, and hosted by the Beijing Zhiyuan Artificial Intelligence Research Institute and Meituan-Dianping, Jia Jia, a young scientist from Zhiyuan, doctoral supervisor at the Department of Computer … Read more