The automatic generation of sentences is a domain of Natural Language Processing (NLP); it is placed in the middle of computer science and linguistics. This is a very complex discipline; the aim of this is to create automatically correct sentences from a list of words which can serve as the basis for such various applications such as automatic translation, question-answering systems, correcting syntactic errors and so on. In this study, we present the use of the linguistic approach of Chomsky's minimalist grammar. We begin with the elaboration of the lexicon that constitutes the essential link of the generation. Then, based on this lexicon, we treat the merge and move operations to build a syntactically correct sentence.
Syntax plays a key role in natural language processing, but it does not always occupy an important position in applications. The main objective of this article is to solve the problem of the grammatical case ending errors produced by Arabic learners or certain common errors. Arabic can be considered more complex than English or French. He does not have vowels; diacritic signs (vowels) are placed above or below the letters. These diacritic signs are abandoned in most Arabic texts. This induces both grammatical and lexical ambiguities in Arabic. The present paper describes an automatic correction of this type of errors using "Stanford Parser" with an ontology containing the rules of the Arabic language. We segment the text into sentences, then we extract the annotations of each word with the syntactic relations coming from our parser, then we treat the relations obtained with our ontology. Finally, we compare the original sentence with the corrected one in order to detect the error. The implemented system achieved a total detection of about 94%. It is concluded that the approach is clearly promising by observing the results as compared to the limited number of available Arabic grammar checkers.
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