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Titlebook: Building and Using Comparable Corpora for Multilingual Natural Language Processing; Serge Sharoff,Reinhard Rapp,Pierre Zweigenbaum Book 20

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Comparable and Parallel Corpora for Machine Translation,With the advent of Neural Machine Translation (NMT), a breakthrough has been achieved with regard to translation quality when compared to previous approaches such as rule-based, example-based, and statistical machine translation (MT). NMT systems tend to be considered as black boxes and it is not easy to predict their behavior.
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Conclusions and Future Research,In the beginning of the 2000s the use of comparable corpora was on the margins of NLP research. Existing MT systems were nearly always based on fully parallel corpora, while NLP applications were mostly built separately in each language without the advantages of cross-lingual transfer.
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Die Entwicklung der Rechenhilfsmittel,between entities) within each language and across languages. Modern approaches usually rely on the Vector Space Model (VSM), which uses a numerical vector . of a specified dimensionality . to represent any entity. The entities are similar when their vectors are not too far apart.
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Kontaktnetzwerke und Superspreader,eed translations (a supervised setting) or no seeds at all (an unsupervised setting). A traditional bilingual dictionary usually offers a structure of senses and conditions for their translations, as well as POS tags for disambiguation. In contrast to this task, building bilingual lexicons as the ai
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