caa a22 4500 445379677 CHVBK 20180317143013.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10032-010-0132-6 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0132-6 Towards information retrieval on historical document collections: the role of matching procedures and special lexica [Elektronische Daten] [Annette Gotscharek, Ulrich Reffle, Christoph Ringlstetter, Klaus Schulz, Andreas Neumann] Due to the large number of spelling variants found in historical texts, standard methods of Information Retrieval (IR) fail to produce satisfactory results on historical document collections. In order to improve recall for search engines, modern words used in queries have to be associated with corresponding historical variants found in the documents. In the literature, the use of (1) special matching procedures and (2) lexica for historical language have been suggested as two alternative ways to solve this problem. In the first part of the paper, we show how the construction of matching procedures and lexica may benefit from each other, leading the way to a combination of both approaches. A tool is presented where matching rules and a historical lexicon are built in an interleaved way based on corpus analysis. In the second part of the paper, we ask if matching procedures alone suffice to lift IR on historical texts to a satisfactory level. Since historical language changes over centuries, it is not simple to obtain an answer. We present experiments where the performance of matching procedures in text collections from four centuries is studied. After classifying missed vocabulary, we measure precision and recall of the matching procedure for each period. Results indicate that for earlier periods, matching procedures alone do not lead to satisfactory results. We then describe experiments where the gain for recall obtained from historical lexica of distinct sizes is estimated. Springer-Verlag, 2010 Historical spelling variants nationallicence Electronic lexica nationallicence Information retrieval nationallicence Gotscharek Annette CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut Reffle Ulrich CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut Ringlstetter Christoph CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut Schulz Klaus CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut Neumann Andreas Bavarian State Library, Ludwigstr. 16, 80799, Munich, Germany aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 159-171 1433-2833 14:2<159 2011 14 10032 https://doi.org/10.1007/s10032-010-0132-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0132-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gotscharek Annette CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut NATIONALLICENCE 700 1- Reffle Ulrich CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut NATIONALLICENCE 700 1- Ringlstetter Christoph CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut NATIONALLICENCE 700 1- Schulz Klaus CIS, Univ. of Munich, Schellingstr. 10, 80799, Munich, Germany aut NATIONALLICENCE 700 1- Neumann Andreas Bavarian State Library, Ludwigstr. 16, 80799, Munich, Germany aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 159-171 1433-2833 14:2<159 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer