Decoding Anagrammed Texts Written in an Unknown Language and Script
نویسندگان
چکیده
منابع مشابه
Decoding Anagrammed Texts Written in an Unknown Language and Script
Algorithmic decipherment is a prime example of a truly unsupervised problem. The first step in the decipherment process is the identification of the encrypted language. We propose three methods for determining the source language of a document enciphered with a monoalphabetic substitution cipher. The best method achieves 97% accuracy on 380 languages. We then present an approach to decoding ana...
متن کاملAutomatic Language Identification from Written Texts – An Overview
Language Identification is the task of automatically identifying the language(s) in which the content is written in a document (web page, text document). Due to the widespread use of internet, identification of languages has become an important preprocessing step for a number of applications such as machine translation, Part-of-Speech tagging, linguistic corpus creation, supporting low-density ...
متن کاملScript and Language Identification for Document Images and Scene Texts
In recent times, there have been an increase in Optical Character Recognition (OCR) solutions for recognizing the text from scanned document images and scene-texts taken with the mobile devices. Many of these solutions works very good for individual script or language. But in multilingual environment such as in India, where a document image or scene-images may contain more than one language, th...
متن کاملan investigation of accuracy and complexity across different proficiency levels in written narrative task
abstract this quasi-experimental study was aimed at examining the impact of storyline complexity on the grammatical accuracy and complexity of advanced and intermediate efl learners. a total of 65 advanced and intermediate efl learners were selected from iran language institute (ili). an intact group including 35 intermediate participants and another intact group with 30 advanced participants ...
Word-length entropies and correlations of natural language written texts
We study the frequency distributions and correlations of the word lengths of ten European languages. Our findings indicate that a) the word-length distribution of short words quantified by the mean value and the entropy distinguishes the Uralic (Finnish) corpus from the others, b) the tails at long words, manifested in the high-order moments of the distributions, differentiate the Germanic lang...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2016
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00084