Ng: I want you to meet my friends, Jonas and Lucas, the instructors of this specialization.
Ng：我跟你们介绍下我的朋友，Jonas和Lucas，这个专项课程的讲师。
Jonas: Hi, everyone.
Jonas: 大家好。
Lucas: Welcome to the specialization.
Lucas: 欢迎加入我们的专项课程。
Ng: I’ve known Jonas for many years. He is an instructor at Stanford University and has also helped me create the deep learning specialization. Over the years, Jones unice has taught hundreds of students learning AI and machine learning and NLP and other topics for the first time and He’s also mentored students on a huge variety of AI related projects. So I really thrilled to have you with us.
Ng：我认识Jonas很多年了。他是一位在斯坦福大学的讲师，在我创建深度学习专项课程的时候给予帮助。多年以来，Jones unice首次教了数百名学生学习AI、机器学习、NLP以及其他主题，他还在大量与AI相关的项目上指导学生。所以我真的很高兴你能和我们一起。
Jonas: Thanks for the introduction and it is always great working with you.
Jonas: 谢谢你的介绍，和你一起工作总是很愉快。
Lucas is a member of the Google Brain team where he does research on deep learning and NLP. So everything from machine translation to parsing, he is the co-author of Google’s Tensorflow system as well as of the transformer network. And so his work has had a huge influence on all of NLP and AI. I’m really excited to also have Lucas as an instructor of the specialization.
Lucas是Google Brain团队中研究深度学习和NLP的一位成员。因此，从机器翻译到解析，他是谷歌Tensorflow系统以及变压器网络的合著者。所以他的工作对所有的NLP和AI都产生了巨大的影响。我真的很高兴能请到Lucas来做这个专项课程的讲师。
Lucas: Thanks for the instroduction, Andrew.
Lucas: 感谢你的介绍，Andrew。
Ng: Jonas and Lucas will walk you through the most important concepts in natural language processing. NLP has changed a lot over the last several decades. The view has started off using primarily rule-based systems where someone might code of rule like you see the word good, then assume this is a positive customer review to then using probabilistic systems that perform much better. But still require a lot of hand engineering to know where NLP relies much more on machine learning and deep learning.
Ng: Jonas和Lacas将带你了解自然语言处理中最重要的概念。NLP在过去数十年里发生了很大变化。观点开始时主要使用基于规则的系统，有些人可能会编写规则代码，比如你看到单词 good, 然后推断它是一个积极的客户评价，然后使用性能更好的概率系统。但是仍然需要大量手工工程来了解NLP在哪些方面更依赖于机器学习和深度学习。
Jonas: You will do so using logistic regression and naive Bayers classifiers. You will also learn to represent words, queries and documents including other pieces of text as numbers in vectors. You will build your first machine translation system and you will learn about locality sensitive hashing which is just a method, that will help you with efficient search.
Jonas: 你将会使用逻辑回归和朴素贝叶斯分类器来实现这一点。你也可能会学习将单词、查询和文档，包括其他文本表示为向量中的数字。你将会建立你的第一个机器翻译系统，你将会学习局部敏感哈希(LSH)，是一种帮你有效搜索的方法。
Ng: Thanks Jonas. After the first course, you then go on to the second course in which you learn probabilistic models in NLP. So these are things like given a few words, what is the probability of the next word being the word the versus of, versus something else. So these are algorithms that all of us are maybe using almost every day. And in this specialization, you will learn how to build these algorithms yourself. After the first two courses with the foundation that I gives you, you then go on to the third course which teaches you sequence models. And finally, in the fourth course, you learn about attention models and this will take you up to say to the art NLP models useful things like chatbots question answering and text summarization. Jonas, you want to say a few words about that?
Ng: 感谢Jonas。在一节课程后，你会继续在第二节课程中学习NLP中的概率模型。所以会给定一些单词，下一个单词是这个单词的相对概率，以及其他单词的相对概率。这些算法我们几乎每天都在使用。在这次专项课程中，你将会学习如何自己建立这些算法。在我给你们的前两门基础课程后，然后你继续第三节课程，教你序列模型。最后，在第四节课程，你学习注意力模型，这会让你接受art NLP 模型是有用的事情，想聊天机器人问答和文本摘要。Jonas，你想说点什么吗？
Jonas: By the time you complete scores for, you will be able to implement state of the art neural machine translation, summarization, question answering and chatbots. We will show you how you can conbine attention and parallel computing to build these systems from the ground up. These models have high impact in industry. They could be used, for example, to automate call centersor businesses can use them to make sense of large volumes of data.
Jonas: 当你完成分数时，你将能够实现先进的神经机器翻译、总结、问答和聊天机器人。我们将向你展示如何结合注意力和并行计算从头开始建立这些系统。这些模型在工业中有很大的影响。它是有用的，例如：自动化呼叫中心企业可以使用它们来理解大量数据。
Ng: I’m really excited for everyone to get started to take these courses, learn these technologies and to go build some great NLP systems.
Ng: 我很高兴每个人开始学习这些课程，学习这些技术，并建立一些优秀的NLP系统。
Jonas: Let’s get started.
Jonas: 让我们开始吧。
Lucas: Awesome, see you in the classrooom.
Lucas: 太棒了，教室见。