In this paper, we compare two novel methods for part of speech tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic Treebank. The first approach uses complex tags without any word segmentation, the second approach is segmention-based, using a machine learning segmenter. Surprisingly, word-based POS tagging yields the best results, ...

This paper introduces a dual-mode stochastic system to automatically identify linguistic code switch points in Arabic. The first of these modes determines the most likely word tag (i.e. dialect or modern standard Arabic) by choosing the sequence of Arabic word tags with maximum marginal probability via lattice search and 5-gram probability estimation. When words are out of vocabulary, the syste...

â arabic seems to have borrowed the word amen ( אö¸×žöµ×Ÿ ) originally from hebrew and used it as a religious term in islamic discourse the same as jewish. although it has a clear meaning in hebrew, there is no explicit meaning for it in arabic dictionaries and sources. at the same time, some hebrew hypotheses about this word have had an effect on the comprehension of the arab philologists and...

We present in this paper an overview of realized works in the field of automatic segmentation of off-line Arabic handwriting. The Arabic writing is cursive in nature even printed or handwritten. The shapes of characters vary considerably according to their positions within the word. The word shapes change depending on whether letters are horizontally or vertically ligatured, i.e. superposed let...

In this paper, we have designed and implemented a system for building an Automatic Lexicon for the Arabic language. Our Arabic Lexicon contains word specific information. These pieces of information include; morphological information such as the root (stem) of the word, its pattern and its affixes, the part-of-speech tag of the word, which classifies it as a noun, verb or particle; lexical attr...

This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expect...

performing translation task which converts text or speech in one Natural Language (Source Language (SL)) into another Natural Language (Target Language (TL)). The translation from Arabic to English is difficult task due to the Arabic languages are highly inflectional, rich morphology and relatively free word order. Word ordering plays an important part in the translation process. The paper prop...

In this paper, we present the details of the Arabic Semantic Labeling task. We describe some of the features of Arabic that are relevant for the task. The task comprises two subtasks: Arabic word sense disambiguation and Arabic semantic role labeling. The task focuses on modern standard Arabic.

the writers of the present article have tried to explain the origin and the meanings of the word a’jam. to achieve this purpose, the authors have consulted different persian and arabic dictionaries as well as different works of prose and poetry. the writers also tried to prove the suggestion that says this word is originally persian and is derived from the name of jamshid (the mythical king of ...