TY - CONF AU - Carlos David Martinez Hinarejos AU - Josep Llados AU - Alicia Fornes AU - Francisco Casacuberta AU - Lluis de Las Heras AU - Joan Mas AU - Moises Pastor AU - Oriol Ramos Terrades AU - Joan Andreu Sanchez AU - Enrique Vidal AU - Fernando Vilariño A2 - IberSPEECH PY - 2016// TI - Context, multimodality, and user collaboration in handwritten text processing: the CoMUN-HaT project BT - 3rd IberSPEECH N2 - Processing of handwritten documents is a task that is of wide interest for manypurposes, such as those related to preserve cultural heritage. Handwritten text recognition techniques have been successfully applied during the last decade to obtain transcriptions of handwritten documents, and keyword spotting techniques have been applied for searching specific terms in image collections of handwritten documents. However, results on transcription and indexing are far from perfect. In this framework, the use of new data sources arises as a new paradigm that will allow for a better transcription and indexing of handwritten documents. Three main different data sources could be considered: context of the document (style, writer, historical time, topics,. . . ), multimodal data (representations of the document in a different modality, such as the speech signal of the dictation of the text), and user feedback (corrections, amendments,. . . ). The CoMUN-HaT project aims at the integration of these different data sources into the transcription and indexing task for handwritten documents: the use of context derived from the analysis of the documents, how multimodality can aid the recognition process to obtain more accurate transcriptions (including transcription in a modern version of the language), and integration into a userin-the-loop assisted text transcription framework. This will be reflected in the construction of a transcription and indexing platform that can be used by both professional and nonprofessional users, contributing to crowd-sourcing activities to preserve cultural heritage and to obtain an accessible version of the involved corpus. L1 - http://refbase.cvc.uab.es/files/MLF2016.pdf N1 - DAG; MV; 600.097;SIAI ID - Carlos David Martinez Hinarejos2016 ER -