An Overview of Context Capturing Techniques in NLP

In the NLP context identification has become a prominent way to overcome syntactic and semantic ambiguities. Ambiguities are unsolved problems but can be reduced certain level. This ambiguity reduction helps improve quality of several processes, such as text translation, simplification, retrieval, word sense disambiguation, etc. Context identification, also known contextualization, takes place in preprocessing phase processes. The essence this is uniquely represent or phrase decision-making during transfer improved output. paper tries provide an overview different context-capturing mechanisms used NLP.