Introduction Let's TalkWe will have you speaking Turkish in no time! Lingo Jump's parallel audio language learning system makes it easy to learn languages at your leisure. Whether you're relaxing or on the go, our simple, clear, and fun audio lessons help you learn through imitation of our speakers.Immerse yourself in a new language with confidence-we're here to get you talking using phrases that you'll learn with ease through parallel audio.Listen and LearnParallel audio is the key to Lingo Jump's language-learning methodology. Through repetition of clearly pronounced words and phrases at a tempo that's easy to follow, you'll not only find it easier to understand and speak Turkish, you'll also improve your memory, boost your listening skills, and pick up the correct accent.Our speakers follow a specific speech pattern throughout the audiobook, making phrases predictable, and helping you understand words and phrases through context. We keep you solely focused on the language, without any distracting background music.Talk Like a LocalWe know that not everyone speaks in the same way. Dialects, tempos, and accents can vary among a country's regions, and even among quarters within a city. So when you start, you'll hear our audiobook narrators using different intonations of repeated phrases, slowing them down, speeding them up, and placing emphasis on different parts of the phrases. This helps accelerate your ability to understand and speak the language naturally.Fast, Effortless, and Fun!Lingo Jump's unique parallel audio language learning system combines repetition, different speeds, and predictable speech patterns. Simply listening to the repeated phrases helps you pick up languages by instinct, preparing your brain for a language's repeated patterns. It's like we're throwing a ball to you in the same way over and over so that soon you can catch it without thinking about it.Perfect for All LevelsLingo Jump is ideal to get beginners speaking a Turkish almost immediately. The parallel audio system also helps intermediate and advanced speakers achieve fluency in a new language.As you progress, the parallel audio system has you repeat phrases at their natural tempo, removing the slower versions. You can put your newly acquired listening and comprehension skills to the test in the final chapters, where you'll listen to the phrases without any parallel audio. This motivating feature helps you track your improvement, and gets you speaking Turkish with confidence.Swift Self-improvement We've designed the first two chapters so that they offer easy immersion. Our speakers break down each word into their distinct syllables and speak slowly. This helps you catch every nuance of the language, making it easier for you to improve your listening and speaking skills all by yourself.Learn AnywhereWe've specifically developed our language courses for audio learning, so you can complete other tasks while learning Turkish. You can learn while you are running, working out, walking, driving, or even when you are doing chores. Our parallel audio learning system teaches you wherever you are, without requiring a reference manual.

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

The scope of individual learner differences is broad, yet there is no current, comprehensive, and unified volume that provides an overview of the considerable amount of research conducted on various language learner differences, until now.

This volume offers fresh perspectives on a controversial issue in applied linguistics and language teaching by focusing on the use of the first language in communicative or immersion-type classrooms. It includes new work by both new and established scholars in educational scholarship, second language acquisition, and sociolinguistics, as well as in a variety of languages, countries, and educational contexts. Through its focus at the intersection of theory, practice, curriculum and policy, the book demands a reconceptualization of code-switching as something that both proficient and aspiring bilinguals do naturally, and as a practice that is inherently linked with bilingual code-switching.

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

Tackles one of the most enduring and contentious issues of positive political economy: common pool resource management.

Musician, composer, producer: Brian Eno is unique in contemporary music. Best known in recent years for producing U2's sensational albums, Eno began his career as a synthesizer player for Roxy Music. He has since released many solo albums, both rock and ambient, written music for film and television soundtracks, and collaborated with David Bowie, David Byrne, Robert Fripp, and classical and experimental composers. His pioneering ambient sound has been enormously influential, and without him today's rock would have a decidedly different sound. Drawing on Eno's own words to examine his influences and ideas, this book—featuring a new afterword and an updated discography and bibliography—will long remain provocative and definitive.

This text-workbook is a streamlined, no-nonsense approach to business communication. It takes a three-in-one approach: (1) text, (2) practical workbook, and (3) self-teaching grammar/mechanics handbook. The chapters reinforce basic writing skills, then apply these skills to a variety of memos, letters, reports, and resumes. This new edition features increased coverage of contemporary business communication issues including oral communication, electronic forms of communication, diversity and ethics.