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
1. Tool Introduction Translate.com is an innovative translation platform that provides machine and human translation services for businesses worldwide. Founded in Newark, USA, Translate.com has been a leader in professional human translation, software localization, and advanced language services since 2011. The software supports 56 languages, offers document translation across hundreds of language pairs, as well … Read more
1. Tool Introduction Systran is an online translation system from France. It is one of the most widely used and diverse machine translation systems available today, capable of translating between 50 languages. It can translate text, websites, and documents, providing fast, accurate, and professional translations for various specialized fields, while being user-friendly and secure. Website: … Read more
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
Written by Zhang Xiaojun, Lai Wen Abstract: Although neural machine translation models perform well with language pairs that have large-scale high-quality parallel corpora, experiments show that the performance of neural machine translation significantly decreases for low-resource language pairs, even underperforming traditional statistical machine translation models. This article analyzes the current challenges faced by neural machine … Read more
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
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
Follow the official account “ML_NLP“ Set as “Starred” to receive heavy content as soon as possible! Author: Nie Runze, Harbin Institute of Technology, SCIR 1. Abstract Current neural machine translation systems have achieved good results, and Transformer-based translation models have shown advanced performance in various translation tasks. However, how to use document-level context to handle … Read more
1. Tool Introduction 1.1 SDL Trados 2019 As a CAT (Computer-Assisted Translation) software, Trados is based on translation memory and terminology database technology, providing an integrated set of tools for quickly creating, editing, and reviewing high-quality translations. The translation memory provides convenience for translators dealing with a large amount of similar translation content, significantly reducing … Read more
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