Sökning: "machine translation"

Visar resultat 16 - 20 av 44 avhandlingar innehållade orden machine translation.

  1. 16. Language Technology for the Lazy : Avoiding Work by Using Statistics and Machine Learning

    Författare :Jonas Sjöbergh; Viggo Kann; Kimmo Koshenniemi; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer science; Computer science; Datalogi;

    Sammanfattning : Language technology is when a computer processes human languages in some way. Since human languages are irregular and hard to define in detail, this is often difficult. Despite this, good results can many times be achieved. Often a lot of manual work is used in creating these systems though. LÄS MER

  3. 17. Adaptations and constraints associated with autotrophy in microbial metabolism

    Författare :Johannes Asplund Samuelsson; Elton P. Hudson; Adil Mardinoglu; Costas D. Maranas; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Autotrophy; Carbon fixation; CO2 fixation; Calvin cycle; CBB cycle; Bacteria; Archaea; Prokaryotes; Cyanobacteria; Synechocystis; E. coli; Comparative genomics; Metabolic engineering; Microbial metabolism; Machine learning; Systems biology; Ribosome profiling; Kinetic modeling; Enzyme kinetics; Metabolic models; Pathway enumeration; Biosynthesis pathways; Metabolomics; Metabolite concentrations; Thermodynamics; Autotrofi; Kolfixering; CO2-fixering; Calvincykeln; CBB-cykeln; Bakterier; Arkéer; Prokaryoter; Cyanobakterier; Synechocystis; E. coli; Jämförande genomik; Metabolisk ingenjörskonst; Mikrobiell metabolism; Maskininlärning; Systembiologi; Ribosomprofilering; Kinetisk modellering; Enzymkinetik; Metaboliska modeller; Syntesvägsuppräkning; Biosyntesvägar; Metabolomik; Metabolitkoncentrationer; Termodynamik; Bioteknologi; Biotechnology;

    Sammanfattning : Carbon dioxide (CO2) emissions from human activities are driving climate change, but the pending crisis could be mitigated by a circular carbon economy where released CO2 is recycled into commodity chemicals. Autotrophic microbes can make a contribution by producing chemicals, such as biofuels, from CO2 and renewable energy. LÄS MER

  4. 18. Multispectral Remote Sensing and Deep Learning for Wildfire Detection

    Författare :Xikun Hu; Yifang Ban; Ioannis Gitas; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; active fire detection; biome; multi-criteria; Sentinel-2; Landsat-8; burned area mapping; deep learning; semantic segmentation; machine learning.; aktiv branddetektering; biom; multikriterietillvägagångssätt; Sentinel-2; Landsat-8; kartläggning av bränt område; djupinlärning; semantisk segmentering; maskininlärningsmetoderna; Geoinformatik; Geoinformatics;

    Sammanfattning : Remote sensing data has great potential for wildfire detection and monitoring with enhanced spatial resolution and temporal coverage. Earth Observation satellites have been employed to systematically monitor fire activity over large regions in two ways: (i) to detect the location of actively burning spots (during the fire event), and (ii) to map the spatial extent of the burned scars (during or after the event). LÄS MER

  5. 19. Large-Scale Multi-Source Satellite Data for Wildfire Detection and Assessment Using Deep Learning

    Författare :Xikun Hu; Yifang Ban; Martin Wooster; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wildfire; Remote Sensing; Active Fire Detection; Burned Area Mapping; Burn Severity Assessment; Sentinel-2; Landsat; Sentinel-1; Deep Learning; Semantic Segmentation; Image Translation; Skogsbrand; fjärranalys; aktiv branddetektering; kartläggning av bränt område; bedömning av brännskador; Sentinel-2; Landsat; Sentinel-1; djupinlärning; semantisk segmentering; bildöversättning.; Geoinformatik; Geoinformatics;

    Sammanfattning : Earth Observation (EO) satellites have great potential in wildfire detection and assessment at fine spatial, temporal, and spectral resolutions. For a long time, satellite data have been employed to systematically monitor wildfire dynamics and assess wildfire impacts, including (i) to detect the location of actively burning spots, (ii) to map the spatial extent of the burn scars, (iii) to assess the wildfire damage levels. LÄS MER

  7. 20. Spelling Normalisation and Linguistic Analysis of Historical Text for Information Extraction

    Författare :Eva Pettersson; Joakim Nivre; Beáta Megyesi; Michael Piotrowski; Uppsala universitet; []
    Nyckelord :NLP for historical text; spelling normalisation; digital humanities; information extraction; character-based statistical machine translation; SMT; Levenshtein edit distance; language technology; computational linguistics; Computational Linguistics; Datorlingvistik;

    Sammanfattning : Historical text constitutes a rich source of information for historians and other researchers in humanities. Many texts are however not available in an electronic format, and even if they are, there is a lack of NLP tools designed to handle historical text. LÄS MER