arabic languages is not a foreign language for us as iranins is the language of our religion and islamic culture. thus to protect our religion and culture. we should learn it. because arabic is not our native language. so one way to learn it is through the comparison and contrast of structure and grammatical points of arabic and persian. this issue is very helpful in translating a text. this ar...

In this paper, we present CamelParser, a state-of-the-art system for Arabic syntactic dependency analysis aligned with contextually disambiguated morphological features. CamelParser uses a state-of-the-art morphological disambiguator and improves its results using syntactically driven features. The system offers a number of output formats that include basic dependency with morphological feature...

Although a number of attempts have been made to develop a stemming formalism for the Arabic language, most of these attempts have focused merely on the lexical structure of words as modeled by the Arabic grammatical and morphological lexical rules. This paper discusses the merits of light stemming for Arabic data and presents a simple light stemming strategy that has been developed on the basis...

Empirical evidence for statistical learning comes from artificial language tasks, but it is unclear how these effects scale up outside of the lab. The current study turns to a real-world test case of statistical learning where native English speakers encounter the syntactic regularities of Arabic through memorization of the Qur'an. This unique input provides extended exposure to the complexity ...

Treebanks are valuable linguistic resources that include the syntactic structure of a language sentence in addition to part-of-speech tags and morphological features. They mainly utilized modeling statistical parsers. Although natural parser has recently become more accurate for languages such as English, those Arabic still have low accuracy. The purpose this article is construct new dependency...

This paper presents an implementation of Brill's Transformation-Based Part-of-Speech (POS) tagging algorithm trained on a manually-annotated Twitter-based Egyptian Arabic corpus of 423,691 tokens and 70,163 types. Unlike standard POS morphosyntactic annotation schemes which label each word based on its word-level morphosyntactic features, we use a function-based annotation scheme in which words...

My study deals with the imperative sentence in poetry of al-Akhras, a grammatical study. The is composition structures Arabic construction sentence, and as much its types significance varies from one to another, command appeal question, it prohibition. research aims present al-Akhras benefiting rules grammarians set poetic evidence for different styles that I found his poetry.
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The probability is considered one of the grammatical cases in all languages world. Expressions Spanish language are expressed by various structures, expressions and some verb tenses. By this study explains cases, verbal periphrases, impersonal expressions, future tenses (simple perfect) conditional mode .We have these detail with examples that extracted from spanish grammar books .The specific ...

In phrase-based statistical machine translation systems, variation in grammatical structures between source and target languages can cause large movements of phrases. Modeling such movements is crucial in achieving translations of long sentences that appear natural in the target language. We explore generative learning approach to phrase reordering in Arabic to English. Formulating the reorderi...