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Annotation, exploitation and evaluation of parallel corpora

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Book Series: Translation and Multilingual Natural Language Processing ISBN: 9783961100248 9783961100255 Year: Pages: 522 DOI: 10.5281/zenodo.1089335 [2] Language: English
Publisher: Language Science Press
Subject: Linguistics
Added to DOAB on : 2018-01-16 11:01:56
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Exchange between the translation studies and the computational linguistics communities has traditionally not been very intense. Among other things, this is reflected by the different views on parallel corpora. While computational linguistics does not always strictly pay attention to the translation direction (e.g. when translation rules are extracted from (sub)corpora which actually only consist of translations), translation studies are amongst other things concerned with exactly comparing source and target texts (e.g. to draw conclusions on interference and standardization effects). However, there has recently been more exchange between the two fields – especially when it comes to the annotation of parallel corpora. This special issue brings together the different research perspectives. Its contributions show – from both perspectives – how the communities have come to interact in recent years.

EVALITA. Evaluation of NLP and Speech Tools for Italian : Proceedings of the Final Workshop 7 December 2016, Naples

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ISBN: 9788899982553 DOI: 10.4000/books.aaccademia.1899 Language: English
Publisher: Accademia University Press
Subject: Languages and Literatures
Added to DOAB on : 2019-12-06 13:15:23
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EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language: since 2007 shared tasks have been proposed covering the analysis of both written and spoken language with the aim of enhancing the development and dissemination of resources and technologies for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it/) and it is supported by the NLP Special Interest Group of the Italian Association for Artificial Intelligence (AI*IA, http://www.aixia.it/) and by the Italian Association of Speech Science (AISV, http://www.aisv.it/). In this volume, we collect the reports of the tasks’ organisers and of the participants to all of the EVALITA 2016’s tasks, which are the following: ArtiPhone - Articulatory Phone Recognition; FactA - Event Factuality Annotation; NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets; PoSTWITA - POS tagging for Italian Social Media Texts; QA4FAQ - Question Answering for Frequently Asked Questions; SENTIPOLC - SENTIment POLarity Classification. Notice that the volume does not include reports related to the IBM Watson Services Challenge organised by IBM Italy, but information can be found at http://www.evalita.it/2016/tasks/ibm-challenge. Before the task and participant reports, we also include an overview to the campaign that describes the tasks in more detail, provides figures on the participants, and, especially, highlights the innovations introduced at this year’s edition. An additional report presents a reflection on the outcome of two questionnaires filled by past participants and organisers of EVALITA, and of the panel “Raising Interest and Collecting Suggestions on the EVALITA Evaluation Campaign” held at CLIC-it 2015.

Document Image Processing

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ISBN: 9783038971054 9783038971061 Year: Pages: 216 DOI: 10.3390/books978-3-03897-106-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-09-19 10:53:09
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Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks. These low-level tasks are generally followed by high-level tasks such as the recognition or spotting of textual elements (characters, words, or text lines). The intent of this Special Issue is to collect the experiences of leading scientists of the field, but also to be an assessment tool for people who are new to the world of document image processing.

Repetitive DNA Sequences

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ISBN: 9783039283668 9783039283675 Year: Pages: 206 DOI: 10.3390/books978-3-03928-367-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Genetics
Added to DOAB on : 2020-04-07 23:07:08
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Repetitive DNA is ubiquitous in eukaryotic genomes, and, in many species, comprises the bulk of the genome. Repeats include transposable elements that can self-mobilize and disperse around the genome, and tandemly-repeated satellite DNAs that increase in copy number due to replication slippage and unequal crossing over. Despite their abundance, repetitive DNA is often ignored in genomic studies due to technical challenges in their identification, assembly, and quantification. New technologies and methods are now providing the unprecedented power to analyze repetitive DNAs across diverse taxa. Repetitive DNA is of particular interest because it can represent distinct modes of genome evolution. Some repetitive DNA forms essential genome structures, such as telomeres and centromeres, which are required for proper chromosome maintenance and segregation, whereas others form piRNA clusters that regulate transposable elements; thus, these elements are expected to evolve under purifying selection. In contrast, other repeats evolve selfishly and produce genetic conflicts with their host species that drive adaptive evolution of host defense systems. However, the majority of repeats likely accumulate in eukaryotes in the absence of selection due to mechanisms of transposition and unequal crossing over. Even these neutral repeats may indirectly influence genome evolution as they reach high abundance. In this Special Issue, the contributing authors explore these questions from a range of perspectives.

Systems Analytics and Integration of Big Omics Data

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ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
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A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

Plant Proteomic Research 2.0

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ISBN: 9783039210626 9783039210633 Year: Pages: 594 DOI: 10.3390/books978-3-03921-063-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Plant Sciences
Added to DOAB on : 2019-06-26 08:44:07
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Advancements in high-throughput “Omics” techniques have revolutionized plant molecular biology research. Proteomics offers one of the best options for the functional analysis of translated regions of the genome, generating a wealth of detailed information regarding the intrinsic mechanisms of plant stress responses. Various proteomic approaches are being exploited extensively for elucidating master regulator proteins which play key roles in stress perception and signaling, and these approaches largely involve gel-based and gel-free techniques, including both label-based and label-free protein quantification. Furthermore, post-translational modifications, subcellular localization, and protein–protein interactions provide deeper insight into protein molecular function. Their diverse applications contribute to the revelation of new insights into plant molecular responses to various biotic and abiotic stressors.

Keywords

Phalaenopsis --- petal --- pollination --- senescence --- 2-DE --- ROS --- Medicago sativa --- leaf cell wall proteome --- cadmium --- quantitative proteomics --- 2D DIGE --- chloroplast --- elevated CO2 --- heat stress --- nucleotide pyrophosphatase/phosphodiesterase --- (phospho)-proteomics --- photosynthesis --- protein phosphorylation --- 14-3-3 proteins --- Oryza sativa L. --- starch --- sucrose --- N utilization efficiency --- proteomics --- 2D --- protein phosphatase --- rice isogenic line --- SnRK1 --- 14-3-3 --- lettuce --- bolting --- proteome --- high temperature --- iTRAQ --- proteome profiling --- iTRAQ --- differentially abundant proteins (DAPs) --- drought stress --- physiological responses --- Zea mays L. --- GS3 --- ? subunit --- heterotrimeric G protein --- mass spectrometric analysis --- RGG3 --- rice --- western blotting --- Dn1-1 --- ?-subunit --- heterotrimeric G protein --- mass spectrometry analysis --- RGG4 --- rice --- western blotting --- Clematis terniflora DC. --- polyphenol oxidase --- virus induced gene silencing --- photosynthesis --- glycolysis --- Camellia sinensis --- chlorotic mutation --- chlorophyll deficiency --- weakening of carbon metabolism --- iTRAQ --- proteomics --- degradome --- wheat --- cultivar --- protease --- papain-like cysteine protease (PLCP) --- subtilase --- metacaspase --- caspase-like --- wheat leaf rust --- Puccinia recondita --- Stagonospora nodorum --- iTRAQ --- proteomics --- somatic embryogenesis --- pyruvate biosynthesis --- Zea mays --- chlorophylls --- LC-MS-based proteomics --- pea (Pisum sativum L.) --- proteome functional annotation --- proteome map --- seeds --- seed proteomics --- late blight disease --- potato proteomics --- Phytophthora infestans --- Sarpo Mira --- early and late disease stages --- Simmondsia chinensis --- cold stress --- proteomics --- leaf --- iTRAQ --- Ricinus communis L. --- cold stress --- seed imbibition --- iTRAQ --- proteomics --- Morus --- organ --- gel-free/label-free proteomics --- flavonoid --- antioxidant activity --- phosphoproteome --- barley --- seed dormancy --- germination --- imbibition --- after-ripening --- sugarcane --- Sporisorium scitamineum --- smut --- proteomics --- RT-qPCR --- ISR --- holm oak --- Quercus ilex --- 2-DE proteomics --- shotgun proteomics --- non-orthodox seed --- population variability --- stresses responses --- ammonium --- Arabidopsis thaliana --- carbon metabolism --- nitrogen metabolism --- nitrate --- proteomics --- root --- secondary metabolism --- proteomics --- wheat --- silver nanoparticles --- plant pathogenesis responses --- data-independent acquisition --- quantitative proteomics --- Pseudomonas syringae --- sweet potato plants infected by SPFMV --- SPV2 and SPVG --- sweet potato plants non-infected by SPFMV --- SPV2 and SPVG --- co-infection --- transcriptome profiling --- gene ontology --- pathway analysis --- lesion mimic mutant --- leaf spot --- phenylpropanoid biosynthesis --- proteomics --- isobaric tags for relative and absolute quantitation (iTRAQ) --- rice --- affinity chromatography --- ergosterol --- fungal perception --- innate immunity --- pattern recognition receptors --- plasma membrane --- proteomics --- proteomics --- maize --- plant-derived smoke --- shoot --- Solanum tuberosum --- patatin --- seed storage proteins --- vegetative storage proteins --- tuber phosphoproteome --- targeted two-dimensional electrophoresis --- B. acuminata petals --- MALDI-TOF/TOF --- GC-TOF-MS --- qRT-PCR --- differential proteins --- n/a

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