In this paper we report on the LIMSI Nov96 Hub4 system for transcription of broadcast news shows. We describe the development work in moving from laboratory read speech data to realworld speech data in order to build a system for the ARPA Nov96 evaluation. Two main problems were addressed to deal with the continuous flow of inhomogenous data. These concern the varied acoustic nature of the sign...

Medication error dapat didefinisikan sebagai kegagalan dalam proses pengobatan dan terjadinya kesalahan yang memengaruhi keselamatan pasien. terjadi pada 4 fase yaitu prescribing (penulisan resep), transcribing (penerjemahan dispensing (proses penyiapan hingga penyerahan) administration (penggunaan). Tujuan penelitian ini adalah untuk mengetahui proporsi kejadian medication prescribing, transcr...

This paper describes a novel method of rescoring that reflects tendencies of errors in word hypotheses in speech recognition for transcribing broadcast news, including ill-trained spontaneous speech. The proposed rescoring assigns penalties to sentence hypotheses according to the recognition error tendencies in the training lattices themselves using a set of weighting factors for feature functi...

For transcription through chromatin, RNA polymerase (Pol) II associates with elongation factors (EFs). Here we show that many EFs crosslink to RNA emerging from transcribing Pol II in the yeast Saccharomyces cerevisiae. Most EFs crosslink preferentially to mRNAs, rather than unstable non-coding RNAs. RNA contributes to chromatin association of many EFs, including the Pol II serine 2 kinases Ctk...

Abstract: We demonstrate that a generative model for object shapes can achieve state of the art results on challenging scene text recognition tasks, and with orders of magnitude fewer training images than required for competing discriminative methods. In addition to transcribing text from challenging images, our method performs fine-grained instance segmentation of characters. We show that our ...

Usually, a large amount of transcription data is required for training and benchmarking Optical Character Recognition (OCR) systems for new scripts like Pashto. In case of real image data; mostly the images are acquired through scanning. For supervised training scenarios, it is required to have a ground truth against the corresponding scanned images. Usually, the ground truth is created by tran...