A Frequency Dictionary of Persian: Core vocabulary for learners

A Frequency Dictionary of Persian: Core vocabulary for learners

A Frequency Dictionary of Persian: Core vocabulary for learners

A Frequency Dictionary of Persian: Core vocabulary for learners

eBook

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Overview

A Frequency Dictionary of Persian is an invaluable tool for all learners of Persian, providing a list of the 5,000 most frequently used words in the language.

Based on a 150 million word corpus of written and spoken Persian texts from the Iranian world, the Dictionary provides the user with a detailed frequency-based list, plus alphabetical and part-of-speech indices. All entries feature the English equivalent, and an example of use in context. The Dictionary also features thematically-based lists of frequently used words on a variety of topics. Also featured are some grammatically-oriented lists, such as simple verbs and light verb constructions, and comparisons of different ways of expressing the months of the year.

The Dictionary provides a rich resource for language teaching and curriculum design, while former CD content is now available to access at www.routledge.com/9781138833241 as support material to provide the full text in a tab-delimited format ideally suited for use by corpus and computational linguists.

A Frequency Dictionary of Persian enables students of all levels to build on their study of Persian in an efficient and engaging way.


Product Details

ISBN-13: 9781317564195
Publisher: Taylor & Francis
Publication date: 07/20/2017
Series: Routledge Frequency Dictionaries
Sold by: Barnes & Noble
Format: eBook
Pages: 376
File size: 5 MB

About the Author

Corey Miller is an Automatic Speech Recognition Research Manager at Rev.com, Texas, USA

Karineh Aghajanian-Stewart is a Senior Faculty Research Specialist at the Center for Advanced Study of Language, University of Maryland, USA.

Table of Contents

Thematic vocabulary lists

Series preface

Acknowledgents

Introduction

Frequency index

Alphabetical index

Part of speech index

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