TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Brunner, Annelen T1 - Automatic recognition of speech, thought, and writing representation in German narrative texts JF - Literary and Linguistic Computing N2 - This article presents the main results of a project, which explored ways to recognize and classify a narrative feature—speech, thought, and writing representation (ST&WR)—automatically, using surface information and methods of computational linguistics. The task was to detect and distinguish four types—direct, free indirect, indirect, and reported ST&WR—in a corpus of manually annotated German narrative texts. Rule-based as well as machine-learning methods were tested and compared. The results were best for recognizing direct ST&WR (best F1 score: 0.87), followed by indirect (0.71), reported (0.58), and finally free indirect ST&WR (0.40). The rule-based approach worked best for ST&WR types with clear patterns, like indirect and marked direct ST&WR, and often gave the most accurate results. Machine learning was most successful for types without clear indicators, like free indirect ST&WR, and proved more stable. When looking at the percentage of ST&WR in a text, the results of machine-learning methods always correlated best with the results of manual annotation. Creating a union or intersection of the results of the two approaches did not lead to striking improvements. A stricter definition of ST&WR, which excluded borderline cases, made the task harder and led to worse results for both approaches. KW - Deutsch KW - Automatische Spracherkennung KW - Indirekte Rede KW - Direkte Rede KW - Automatic recognition of speech KW - Prose KW - German KW - Indirect speech KW - Prosa KW - Direct speech Y1 - 2013 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-39470 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-39470 SN - 1477-4615 SS - 1477-4615 N1 - Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich. This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively. VL - 28 IS - 4 SP - 563 EP - 575 ER -