#LanguageUnderstanding

[techninja]

Unleashing the Potential: Exploring the Natural Language Processing (NLP) Market

Natural Language Processing (NLP) technology is revolutionizing the way we interact with machines and process vast amounts of textual data. From virtual assistants to sentiment analysis tools, NLP is reshaping industries across the globe. The NLP market is experiencing unprecedented growth, fueled by advancements in artificial intelligence and the increasing demand for sophisticated language understanding capabilities.

One of the key drivers of the NLP market is the exponential growth of unstructured textual data. With the proliferation of social media, online reviews, and customer feedback, organizations are inundated with vast amounts of text that hold valuable insights. NLP enables machines to understand and interpret this data, extracting actionable insights and improving decision-making processes.

In the healthcare sector, NLP is revolutionizing patient care and clinical research. By analyzing medical records, NLP algorithms can identify patterns and trends, aiding in diagnosis and treatment planning. Similarly, in the financial industry, NLP is used for sentiment analysis of news articles and social media posts, helping traders make informed investment decisions.

The rise of virtual assistants and chatbots is another significant driver of the NLP market. These AI-powered tools leverage NLP technology to understand user queries and provide relevant responses in natural language. From customer service to personalized recommendations, virtual assistants are becoming ubiquitous across various industries, driving the demand for NLP solutions.

Moreover, the advent of deep learning techniques has significantly enhanced the capabilities of NLP systems. Deep learning algorithms, such as recurrent neural networks (RNNs) and transformers, enable machines to grasp the nuances of human language with unprecedented accuracy. As a result, NLP applications are becoming more sophisticated, capable of understanding context and generating human-like responses.

Looking ahead, the future of the NLP market is promising. As organizations increasingly rely on data-driven insights to gain a competitive edge, the demand for NLP solutions will continue to grow. Key market players are investing in research and development to develop more advanced NLP algorithms and applications, catering to the evolving needs of businesses across industries. In summary, the NLP market is poised for remarkable expansion, driving innovation and transforming the way we interact with technology.

[nexgitspvtltd]

Discover the power of Natural Language Processing and Large Language Models. Dive into the world of document classification, text creation, and more. See how NLP and LLMs are shaping the future of language understanding and decision-making in the business world.

[globalteachonline]

What you'll learn Learn some useful question phrases you can use in lots of situationsLearn some verbs and start to add different structures to your languageLearn some time phrases, money phrases and mealtime phrases to add more details to your ItalianLearn to tell the time in ItalianLearn how to book a taxi in ItalianGet to grips with ItalinpronunciationUnderstand the structure of the Italian languageUnderstand and use grammatical and linguistic features of the Italianlanguage with easeBuild a solid base vocabulary of words and phrases you can use straight away in the real worldSpeak Italian confidently and comfortably in everyday situationsUnderstand what's being said back to youBe more than just an average tourist when travelling to Italian speaking countriesShow moreShow lessThis is the second course in the 3 Minute Italian series and it consists of lessons 10-18. If you're familiar with all the words and phrases you learnt in the course 1, then you're ready to go!The good thing about the 3 Minute Italian courses is that everything you learn is recapped in later lessons, so you don't have to worry about going back to the start to refresh your memory (although you can if you like, it won't harm you). At the end of every lesson are some recap practice exercises to make sure words and phrases you learnt previously are still secure in your memory.In this course, you'll start to look at some different sentence structures in Italian. You'll be looking at some ways to ask questions and then you'll get an introduction to a very useful part of the language: verbs. All of this will open up the Italian language to you, giving you many more things to say. Don't worry if you've never come across verbs before, or if you've had a bad experience with learning grammar; everything in this course is explained in a simple and easy to understand way.As well as the new structures, we'll be exploring some new topic areas including telling the time in Italian, booking taxis and asking where things are. We'll also look at an interesting linguistic feature in English called the Saxon Genitive, and we'll discover that it doesn't exist in Italian so we'll need ways to get around it.The best way to tackle the trickier features of any language is to spread them out rather than looking at them all at once. Sometimes, when you open a foreign language instruction book, all the linguistic features of the language are introduced on the first page, and it can often be very off putting! In the 3 Minute Italian courses, I have broken them down and spread them about. We look at each particular feature when it crops up naturally in the order of the course. In this course, there are a few such features that need explaining in order to understand how some of the Italian structures work.In this course, there are also some more Vocabulary Expansion Sheets for you to boost your Italian vocabulary.I hope you enjoy :-)KieranWho this course is for:This course is for aimed at anybody who has already completed the "3 Minute Italian - Course 1" and would like to progress further

[topebooklibrary]

(Epub Kindle) The 5 Love Languages of Children The Secret to Loving Children Effectively {read online}

(Epub Kindle) The 5 Love Languages of Children: The Secret to Loving Children Effectively {read online}

The 5 Love Languages of Children: The Secret to Loving Children Effectively

[PDF] Download The 5 Love Languages of Children: The Secret to Loving Children Effectively Ebook | READ ONLINE

Author : Gary Chapman Publisher : Northfield Publishing ISBN : 0802412858 Publication Date : 2016-5-1 Language : eng Pages : 224

To Download or Read this book, click link below:

http://read.ebookcollection.space/?book=0802412858

$^DOWNLOAD#$

Synopsis : (Epub Kindle) The 5 Love Languages of Children: The Secret to Loving Children Effectively {read online}

More than 1 million sold!  You know you love your child. But how can you show it so they really feel loved? The #1 New York Times bestselling The 5 Love Languages® has helped millions of couples learn the secret to building a love that lasts. Now discover how to speak your child’s love language and make them feel loved in a way they understand. Dr. Gary Chapman and Dr. Ross Campbell help you:Discover your child’s love languageUnderstand the link between successful learning and the love languagesSee how the love languages can help you discipline more effectivelyBuild a foundation of unconditional love for your childPlus: Find dozens of tips for practical ways to speak your child’s love language. Discover your child's primary language, then speak it, and you will be on your way to a stronger relationship and seeing your child flourish.For a free online study guide, visit 5lovelanguages.com

[gardenebookpdf]

{PDF EBOOK EPUB KINDLE} The 5 Love Languages of Children The Secret to Loving Children Effectively DOWNLOAD FREE

{PDF EBOOK EPUB KINDLE} The 5 Love Languages of Children: The Secret to Loving Children Effectively DOWNLOAD FREE

The 5 Love Languages of Children: The Secret to Loving Children Effectively

[PDF] Download The 5 Love Languages of Children: The Secret to Loving Children Effectively Ebook | READ ONLINE

Author : Gary Chapman Publisher : Northfield Publishing ISBN : 0802412858 Publication Date : 2016-5-1 Language : eng Pages : 224

To Download or Read this book, click link below:

http://read.ebookcollection.space/?book=0802412858

in format E-PUB

Synopsis : {PDF EBOOK EPUB KINDLE} The 5 Love Languages of Children: The Secret to Loving Children Effectively DOWNLOAD FREE

More than 1 million sold!  You know you love your child. But how can you show it so they really feel loved? The #1 New York Times bestselling The 5 Love Languages® has helped millions of couples learn the secret to building a love that lasts. Now discover how to speak your child’s love language and make them feel loved in a way they understand. Dr. Gary Chapman and Dr. Ross Campbell help you:Discover your child’s love languageUnderstand the link between successful learning and the love languagesSee how the love languages can help you discipline more effectivelyBuild a foundation of unconditional love for your childPlus: Find dozens of tips for practical ways to speak your child’s love language. Discover your child's primary language, then speak it, and you will be on your way to a stronger relationship and seeing your child flourish.For a free online study guide, visit 5lovelanguages.com

[phagoman]

Read The 5 Love Languages of Children: The Secret to Loving Children Effectively - Gary Chapman

    Read/Download Visit : https://tt.ebookbiz.info/?book=0802412858

Book Synopsis :

More than 1 million sold!? You know you love your child. But how can you show it so they really feel loved? The #1 New York Times bestselling The 5 Love Languages? has helped millions of couples learn the secret to building a love that lasts. Now discover how to speak your child?s love language and make them feel loved in a way they understand. Dr. Gary Chapman and Dr. Ross Campbell help you:Discover your child?s love languageUnderstand the link between successful learning and the love languagesSee how the love languages can help you discipline more effectivelyBuild a foundation of unconditional love for your childPlus: Find dozens of tips for practical ways to speak your child?s love language. Discover your child's primary language, then speak it, and you will be on your way to a stronger relationship and seeing your child flourish.For a free online study guide, visit 5lovelanguages.com

[apprenticeshipsinlondon]

Spoken Language Scientist (ASR) - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/131368/spoken-language-scientist-asr-intern/

[globalteachonline]

What you'll learn Build iOS and Android apps with just single codebaseBecome a fully-fledged Flutter developerBuild native, beautiful and fast Mobile Apps with FlutterAdd list of beautiful Flutter apps in your CV to impress any recruiterLearn Dart Programming LanguageUnderstand all the fundamental concepts of Flutter DevelopmentLearn Object Oriented Programming concetpsMobile app development with Flutter and Google Firebase integrationWelcome to the Flutter & Dart: The Complete Guide 2021 Edition HINDI Join this Flutter tutorial to learn how to build great iOS and Android apps! Flutter allows you to build native quality iOS & Android apps using Single Code Base.Flutter framework is developed by Google which allows you to learn one language i.e. Dart and build beautiful native mobile apps in very short time. Flutter is a SDK which compiles Dart code into native code and it also gives you a rich set of pre-built UI elements i.e. called widgets which you can use to build your mobile apps. This course covers all the fundamental concepts for Flutter development, and is the most comprehensive Flutter course available online. The course aims to teach Flutter from scratch and make you into a skilled Flutter developer. This complete Flutter development course teaches you how to code using Dart and build beautiful, fast, native-quality iOS and Android apps. This course takes you step-by-step through engaging video tutorials and teach you everything you need to know to become a Flutter developer. By the end of this course, you will become a good Dart programmer and be ready to build your own Flutter apps and become a fully fledged Flutter developer. What's included in the course:Flutter concepts e.g. Stateful vs. Stateless Widgets, Widget tree, state management and much more.Basic Dart concepts e.g. lists, maps, enums, loops, futures, streams, classes, and much more.Concepts of Object Oriented Programming (OOP): The type system, variables, functions and methods, inheritance, classes, objects etc.Dart Control Structures: Using If/­Else clauses, Switch statements and logic to control the flow of execution.Data Structures: Dart collections, such as Lists and Maps.Software Design: Implement the Model ­View­ Controller (MVC) design pattern to organise and format Dart code for readability.Networking: How to make asynchronous API calls, store and retrieve data from the cloud, and use the JSON format for server communication.Data Storage: How to use Firebase Cloud Firestore to act as a backend for your Flutter apps.Authentication: How to use log in and register users for your Flutter apps.State Management: How to use setState, lifting state up, callbacks and the Provider package to manage app state. Who this course is for:If you are beginner or experienced developer who wanted to learn Mobile App Development using Single Code for both platforms.Experienced iOS or Android developers who want to build cross-platform (iOS + Android) apps with one single programming language.Who this course is for:Mobile App developers who would like to learn cross platform development

[apprenticeshipsinlondon]

Spoken Language Scientist (ASR) - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/127786/spoken-language-scientist-asr-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/119499/spoken-language-scientist-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/118051/spoken-language-scientist-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/110137/spoken-language-scientist-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/100923/spoken-language-scientist-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems. &nbspWe've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages. &nbspThis will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU). &nbspKDL-EU&nbspspeech-jobs &nbspBASIC QUALIFICATIONS   You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field  Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition  Computer programming skills  Experience using Unix/Linux  Excellent written and verbal communication skills &nbspPREFERRED QUALIFICATIONS   Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management  Be an avid programmer, with extensive expertise in Python and/or Java  Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing  Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/94513/spoken-language-scientist-intern/

[apprenticeshipsinlondon]

Spoken Language Scientist - Intern

Cambridge, Cambridge, UK Amazon Interested in Amazon Alexa? The Alexa Machine Learning team aims tocreate a delightful experience for Amazon's customers by making Alexaunderstand any spoken request quickly and accurately. As an intern onthe team you will collaborate closely with experts in machine learningand human language technology, and contribute to advancing the state ofthe art in human language understanding systems.We've solved many complex problems to get to where we are today, butthere are still plenty of challenges ahead of us, and Alexa is gettingsmarter every day. The problems we solve in the Cambridge Speech &Language Technology team help Alexa get smarter by understanding thedifferent ways people talk and by responding in the most natural waypossible in multiple languages.This will require methods that lie beyond the cutting edge academic andindustrial research of today, at internet-level scale, in automaticspeech recognition (ASR) and natural language understanding (NLU).KDL-EUspeech-jobsBASIC QUALIFICATIONS You should be enrolled on a PhD in Computer Science, Engineering,Mathematics, Computational Linguistics, or a related field Knowledge of a relevant field of research, such as machine learning,statistical modelling, natural language understanding, machinetranslation, speech recognition Computer programming skills Experience using Unix/Linux Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS Explicit (industry or academic) experience with natural languageunderstanding, speech recognition or dialogue management Be an avid programmer, with extensive expertise in Python and/or Java Expertise any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributed computing Experience in professional software development - provided by Dice COMPUTER SCIENCE, DATA MINING, INTERNET, JAVA, LINUX, MACHINE LEARNING, MATHEMATICS, PHD, PYTHON, UNIX from Youth In Jobs https://youthinjobs.co.uk/job/88917/spoken-language-scientist-intern/