Plagiarism detection is gaining importance due to requirements for integrity in Research works especially when it comes
to Cross-lingual plagiarism. In this paper, we have researched a new approach for Cross-Lingual sentence level plagiarism
detection. The proposed approach works as initially the suspicious document is translated to a particular language and candidate
document is retrieved for further processing. Pre-processing techniques will be selected using NB Classifier for better efficiency
which will be used on document which includes POS tagging, Chunking, Stop-word removal, Lemmatization, Syntactic-semantic
rule. Then Machine Learning classification algorithms such as Support Vector Machine (SVM), Naïve Bayes Classifier (NBC),
Decision Tree (DT) are used to check plagiarism.
