Villegas, MauricioToselli, Alejandro HéctorRomero Gómez, VerónicaVidal, Enrique2017-09-202017-09-202016978-1-5090-0981-72167-6445https://riunet.upv.es/handle/10251/87627© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.[EN] Existing transcripts for historic manuscripts are a very valuable resource for training models useful for automatic recognition, aided transcription, and/or indexing of the remaining untranscribed parts of these collections. However, these existing transcripts generally exhibit two main problems which hinder their convenience: a) text of the transcripts is seldom aligned with manuscript lines, and b) text often deviate very significantly from what can be seen in the manuscript, either because writing style has been modernized or abbreviations have been expanded, or both. This work presents an analysis of these problems and discusses possible solutions for minimizing human effort needed to adapt existing transcripts in order to render them usable. Empirical results presented show the huge performance gain that can be obtained by adequately adapting the transcripts, thus motivating future development of the proposed solutions.6Reserva de todos los derechosHandwritten Text RecognitionHistorical ManuscriptsModernized TranscriptsTranscript-image AlignmentDiplomatizationESTADISTICA E INVESTIGACION OPERATIVALENGUAJES Y SISTEMAS INFORMATICOSComunicación en congreso10.1109/ICFHR.2016.22Abierto