Curation of biomedical literature is often supported by the automatic analysis of textual content that generally involves a sequence of individual processing components. Text mining (TM) has been used to enhance the process of manual biocuration, but has been focused on specific databases and tasks rather than an environment integrating TM tools into the curation pipeline, catering for a variet...

We report on the South African Sign Language Machine Translation project, and more specifically on our experience in extending a synchronous tree-adjoining grammar parser approach in order to generate non-manual signs and construct a suitable signing space. We show that post-processing of the target language tree, after transfer rules have been applied, results in a simple and efficient mechani...

Softening and dropping point determination are established analytical tests that provide quality control for petrochemical products such as bitumen (asphalt). However, to be accurate, manual/semi-automated quality tests prescribed in ASTM standards must be performed in a standardized fashion. Unfortunately, manual processing bears inherent process risks that affect repeatability, which in turn ...

Abstract. This paper deals with the clustering task for Russian texts obtained using automatic speech recognition (ASR). The input for processing are recognition result for phone call recordings and manual text transcripts for these calls. We present a comparative analysis of clustering results for recognition texts and manual text transcripts, make an evaluation of how recognition quality affe...

We report on the participation of the CSIRO1 team, named as CSIROmed, in the TREC 2016 Clinical Decision Support Track. We submitted three automatic runs and and one manual run. Our best submitted run was the manual run using the summaries. We expanded the summaries with synonyms of diseases, metamap concepts, abbreviations as well as boosting phrases. We also report on experiments post TREC co...

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Ancient corpora contain various multilingual patterns. This imposes numerous problems on their manual annotation and automatic processing. We introduce a lexicon building system, called Lexicon Expander, that has an integrated language detection module, Language Detection (LD) Toolkit. The Lexicon Expander post-processes the output of the LD Toolkit which leads to the improvement of f-score and...

Our researches focus on Sign Language (SL) gestures, which can be manual or non-manual (like facial expressions). This abstract presents the study we conduct in the field of French SL (LSF) processing. We intend to propose a coarticulation model of signs of LSF, thus we need accurate analysis of both isolated and in utterance signs. We follow a several step methodology: video corpus creation, a...

In this paper we describe audio and video processing algorithms that are developed in the scope of AVATecH project. The purpose of these algorithms is to shorten the time taken by manual annotation of audio and video recordings by extracting features from media files and creating semi-automated annotations. We show that the use of such supporting algorithms can shorten the annotation time to 30...