Results 31 to 40 of about 287,772 (335)
Working on Сomputer-Assisted Translation platforms: New advantages and new mistakes
Russian journal of linguistics: Vestnik RUDN, 2019 The paper presents analysis of errors in translation on the CAT platform Smartcat, which accumulates all tools for computer-assisted translation (CAT) including a machine translation (MT) system and translation memory (TM).
Irina Germanovna Ovchinnikova
doaj +1 more source
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
, 2018 In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.
Chen, Kai +6 more
core +1 more source
Utilizing sub-topical structure of documents for information retrieval. [PDF]
, 2011 Text segmentation in natural language processing typically refers to the process of decomposing a document into constituent subtopics. Our work centers on the application of text segmentation techniques within information retrieval (IR) tasks.
Ganguly, Debasis +2 more
core +2 more sources
A new hybrid method for Arabic multi-font text segmentation, and a reference corpus construction
Journal of King Saud University: Computer and Information Sciences, 2020 In analytical systems of Arabic text recognition, segmentation is a critical and decisive stage. In this stage, words after being extracted from the text document are segmented into individual characters to allow the feature extraction and classification.
Abdelhay Zoizou +2 more
doaj +1 more source
Thematic segmentation of texts [PDF]
Proceedings of the 17th international conference on Computational linguistics -, 1998 To segment texts in thematic units, we present here how a basic principle relying on word distribution can be applied on different kind of texts. We start from an existing method well adapted for scientific texts, and we propose its adaptation to other kinds of texts by using semantic links between words. These relations are found in a lexical network,
Ferret, Olivier +2 more
openaire +2 more sources
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks
, 2015 Deep LSTM is an ideal candidate for text recognition. However text recognition involves some initial image processing steps like segmentation of lines and words which can induce error to the recognition system.
Chaudhury, Santanu +2 more
core +1 more source
Segmented Summarization and Refinement: A Pipeline for Long-Document Analysis on Social Media
Journal of Social ComputingSocial media’s explosive growth has resulted in a massive influx of electronic documents influencing various facets of daily life. However, the enormous and complex nature of this content makes extracting valuable insights challenging.
Guanghua Wang, Priyanshi Garg, Weili Wu
doaj +1 more source
Line and Ligature Segmentation of Urdu Nastaleeq Text
IEEE Access, 2017 The recognition accuracy of ligature-based Urdu language optical character recognition (OCR) systems highly depends on the accuracy of segmentation that converts Urdu text into lines and ligatures. In general, lines and ligatures-based Urdu language OCRs
Ibrar Ahmad +4 more
doaj +1 more source
Text segmentation on multilabel documents: A distant-supervised approach
, 2019 Segmenting text into semantically coherent segments is an important task with applications in information retrieval and text summarization. Developing accurate topical segmentation requires the availability of training data with ground truth information ...
Karypis, George, Manchanda, Saurav
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source