This article is the seventh installment of the series “AI Legends” written by Mr. Chen Zongzhou, the editor-in-chief and president of Global Science. In this installment, Mr. Chen will lead us to review the development history of machine translation over the past half century. How did this field, which fell into a low tide shortly … Read more
Recently, an article titled “A Major Breakthrough in the Translation Field! As a Translator, I Now Understand the Concerns and Fears of 18th Century Textile Workers When They First Saw the Steam Engine!” has circulated among friends, causing many translators and foreign language students to express worries about the future of translation, suggesting that machine … Read more
Selected from Medium Author:Harshvardhan Gupta Compiled by Machine Heart Contributors: Liu Xiaokun, Lu Xue Last year, Facebook published a paper titled “Unsupervised Machine Translation Using Monolingual Corpora Only,” proposing unsupervised machine translation using monolingual corpora. Recently, an article on Medium interpreted this paper, and Machine Heart has compiled an introduction to it. Deep learning is … Read more
Abstract :This article summarizes the basic principles and classifications of machine translation. Keywords: Machine Translation Working Principles Classification Machine Translation (Machine Translation,MT) is a comprehensive discipline based on multiple fields. The development of modern theoretical linguistics, advances in computer science, and the application of information science and probability statistics have significantly influenced the development and … Read more
This article will cover three aspects of the essence of Transformer, the principles of Transformer, and the applications of Transformer, helping you understand Transformer (overall architecture & three types of attention layers) in one article. Transformer 1. Essence of Transformer The origin of Transformer:The Google Brain translation team proposed a novel simple network architecture called … Read more
Leifeng Network is Hiring! Join Leifeng Network to share the information dividend of the AI era and walk alongside the intelligent future. It is said that the experts have clicked here. In 2016, Google released a brand new neural machine translation system (GNMT) and claimed that due to the intervention of neural network algorithms, this … Read more
Author: Sebastian Ruder, Translated by QbitAI 2018 was a significant year for the field of NLP. The most notable was BERT, which swept various NLP tests and was hailed as the beginning of a new era in NLP. But in 2018, there was more than just BERT. Recently, Irish NLP researcher Sebastian Ruder wrote an … Read more
▲Click above Leifeng Network to follow The Four Major Boundaries: Data Boundary, Semantic Boundary, Symbolic Boundary, and Causal Boundary Written by | Cong Mo Currently, deep learning in natural language processing has its limitations. So where are the boundaries of its effectiveness? This is a question we should ponder deeply. Recently, at the Fourth Language … Read more
▲Click on the top Leifeng Network to follow Since 2012, the field of Natural Language Processing (NLP) has entered the era of neural networks for 7 years. Where is the future development heading? Let’s see how Dr. Zhou Ming, the chairman of ACL 2019 and vice president of Microsoft Research Asia, interprets it~ Written by … Read more
Starting the Journey of RNN, Commonly Known Four Structures of RNN One to One: This is the traditional application of neural networks, usually used for simple input to output tasks. For example, in image classification, the network receives an image as input and identifies the category of the object represented in the image. Specifically, suppose … Read more