This paper describes the system developed for the NLI 2013 Shared Task, requiring to identify a writer’s native language by some text written in English. I explore the given manually annotated data using word features such as the length, endings and character trigrams. Furthermore, I employ k-NN classification. Modified TFIDF is used to generate a stop-word list automatically. The distance betw...

Standard English PoS-taggers generally involve tag-assignment (via dictionary-lookup etc) followed by tag-disambiguation (via a context model, e.g. PoS-ngrams or Brill transformations). We want to PoS-tag our Arabic Corpus, but evaluation of existing PoStaggers has highlighted shortcomings; in particular, about a quarter of all word tokens are not assigned a fully correct morphological analysis...

We demonstrate a data collection and analysis system that can be used to analyze the relative contributions of dialect dependent variation in the lexical of speech-like Arabic text. We utilize Latent Dirichlet Allocation (LDA), a generative Probabilistic modeling method, to analyze a phonetic Latin Spelled Arabic online chat corpus. The corpus produces different word choices and word relations ...

THE RELATIONSHIP BETWEEN LANGUAGE AND READING IN BILINGUAL ENGLISH-ARABIC CHILDREN by Lama K. Farran This dissertation examined the relationship between language and reading in bilingual English-Arabic children. The dissertation followed a two chapter Review and Research Format. Chapter One presents a review of research that examined the relationship between oral language and reading developmen...

some linguists believe that word in arabic language was initially based on one syllabus; orators have changed them according to the special countries, tribes and societies. they have contrived special acumen for any prefixes, suffixes and affixes addition. some other linguists believed that word was initially formed based on three letters, and thus different accents and languages were ramified ...

Arabic on social media has all the properties of any language on social media that make it tough for natural language processing, plus some specific problems. These include diglossia, the use of an alternative alphabet (Roman), and code switching with foreign languages. In this paper, we present a system which can process Arabic written in Roman alphabet (“Arabizi”). It identifies whether each ...

The cursive and ligature nature of the Arabic language make the segmentation of words into individual characters a difficult task. Despite attempts to apply methods for cursive Latin and other languages to Arabic, it is generally insufficient to segment Arabic text. This paper proposes a new segmentation algorithm for handwritten Arabic text and the main idea consist of segmenting the word into...

This paper presents a new technique of high accuracy to recognize both typewritten and handwritten English and Arabic texts without thinning. After segmenting the text into lines (horizontal segmentation) and the lines into words, it separates the word into its letters. Separating a text line (row) into words and a word into letters is performed by using the region growing technique (implicit s...

In this paper we present a novel approach for the recognition of offline Arabic handwritten text that is motivated by the Arabic letters’ conditional joining rules. A lexicon of Arabic words can be expressed in terms of a new alphabet of PAWs (Part of Arabic Word). PAWs can be expressed in terms of letters. The recognition problem is decomposed into two problems that are solved simultaneously. ...