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Intelligent Computer Assisted Language Learning systems rely on Natural Language Processing (NLP) techniques to analyze utterances produced by learners. The result of this analysis is used to provide feedback or to structure further instructional activities. The goal of our proposed research is to use NLP methods for assessing the student skill level as regards to language production and grammatical correctness. This will be realized through a sentence analyzer that parses the learner’s input and detects any agreement and word order errors and a sentence structure viewer. The sentence viewer provides a visual representation of the sentence entered. It takes the parse tree produced by the parser as input and provides information on the main grammatical functions of the sentence. Providing this type of feedback to students is believed to help in language acquisition.