This paper discusses a proposed technique of question answering for online English and Punjabi text. Initially this system takes question as input text written by user. Then stop words are removed from input question. A list of stop words has been prepared in advance for English and Punjabi. After this key terms are extracted from remaining string of question. Nouns, adjectives and verbs are treated as key terms. Synonyms of these key terms are extracted using bilingual dictionary of English and Punjabi and using Vector Space Model. Query is then reformulated by usage of these key terms and synonyms. Next phase is to retrieve the necessary web pages by applying string matching with reformulation of query. At last our question answering system returns the answers from the web documents extracted by online search engine and then it gives scores to the answer candidates. Finally we can extract top scored twenty answers for our question.
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