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School: Charles University in Prague faculty: Faculty of Mathematics and Physics Department: Institute of Formal and Applied Linguistics Study programme: Informatics Specialization: Mathematical Linguistics Submitted: 12th April 2013 in Prague defended: 20th may 2013 Grade: excellent (výborně) Official web page in Student Information System. Skip to main content, alumni, jan Striefel, fasla, bla, 1978. Lisa benson, asla, bla, 2001, location, mesa verde. National Park, learn More, alumnus, dale Schafer, asla, bla, 1987. Location, new York city, east Waterfront, queens, learn More, alumnus, jay bollwinkel, asla, bla 1987, location.
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We performed both automatic and manual evaluations which confirmed that our system improves the quality of the translations. Český abstrakt, představujeme depfix, systém pro samočinnou post-edititaci výstupů frázových strojových překladů z angličtiny do češtiny, založený na jazykovědných znalostech. Nejprve jsme rozebrali druhy chyb, kterých se dopouští typický strojový překladač. Poté jsme vytvořili sadu resume pravidel a statistickou komponentu, které opravují takové chyby, které jsou běžné nebo závažné a může přicházet v úvahu jejich oprava pomocí našeho přístupu. Používáme řadu nástrojů pro zpracování přirozeného jazyka, které nám poskytují rozbor vstupních vět. Navíc jsme reimplementovali závislostní analyzátor a několika způsoby jej upravili pro provádění paperwork rozboru výstupů statistických strojových překladačů. Provedli jsme automatická i ruční vyhodnocení, která potvrdila, že kvalita překladů se zpracováním v našem systému zlepšuje. Information, official title: Automatic post-editing of phrase-based machine translation outputs Official title in czech: Automatická post-editace výstupů frázového strojového překladu keywords: automatic post-editing, machine translation, dependency parsing, Treex Supervisor: rndr.
Depfix: Automatic Post-editing of Phrase-based Machine Translation Outputs. Master thesis of, rudolf Rosa, containing the most detailed and complete description of the depfix system, available resources: print version editor (in English, pdf,.2 MB) online version (in English, htmlimages,.4 MB) defence slides (in czech, pdf,.1 MB) úfal monday seminar slides (in English. English Abstract, we present Depfix, a system for automatic post-editing of phrase-based English-to-czech machine translation outputs, based on linguistic knowledge. First, we analyzed the types of errors that a typical machine translation system makes. Then, we created a set of rules and a statistical component that correct errors that are common or serious and can have a potential to be corrected by our approach. We use a range of natural language processing tools to provide us with analyses of the input sentences. Moreover, we reimplemented the dependency parser and adapted it in several ways to parsing of statistical machine translation outputs.
: 41 (0). Your Master's thesis in the mbf programme will be graded and weighted with 18 ects. You may derive your topic from the master's major or from a contextual field. However, it must be related to banking, finance or insurance. Since the mbf is a programme entirely taught in English, the master's thesis must necessarily be written in English. You will find detailed instructions about administrative details of the MBF Master's thesis here.
The analysis program good consists of three main parts: detection, association (tracking) of APs and estimation of important constants. The master's Thesis is a scientific and independent work. It concludes the master programme. A, professor or Privatdozent of the department of health Sciences and Technology or of the department of Environmental Systems Science (Agricultural Science area) is responsible for the topic and the supervision of the thesis. If a thesis is not carried out in the field of the selected Major, authorization by the Study director is required. Scientific communication, see the comprehensive guidelines for scientific communication on eskript: /scientificcommunication accordion. Press Tab to navigate to entries, then Enter to open or collapse content.
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In order to study peripheral neural activity correlating to pain, an analysis tool that facilitates the investigation of human unmyelinated (C-) fibers has been developed. The tool calculates important C-fiber data such as latency changes and recovery time constants, and helps essay the researcher to present and statistically process data. By applying electrical stimuli repetitively.25 hz and additional stimuli, such as mechanical or chemical, at the receptive field of a studied C-fiber it is possible to estimate important data. The action potentials (APs) that are evoked by the stimuli are recorded. The recordings will usually contain APs from several fibers. Our tool has to determine which C-fiber an ap originated from to be able to get information about the single fibers. To associate aps to a single c-fiber automatically, an algorithm from the radar tracking area, multiple hypothesis tracking (mht is used. The aps are treated as radar targets, and the algorithm tracks and calculates the most probable traces. After tracking, curves are fitted to each trace and C-fiber data are calculated.