Automatic Matching and Expansion of Abbreviated Phrases Without Context

In many documents, like receipts or invoices, textual information is constrained by the space and organization of document. The document has no natural language context, expressions are often abbreviated to respect graphical layout, both at word level phrase level. order analyze semantic content these types document, we need understand each phrase, particularly name sold products. this paper, propose an approach find right expansion abbreviations acronyms, without context. First, extract about products from our corpus different linguistic processes abbreviation. Then, retrieve a list expanded names company that emitted receipts, algorithm pair extracted with corresponding expansions. We provide research community unique collection for abbreviation expansion.