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This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
Computer science. --- Computational linguistics. --- Translation and interpretation. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Translation. --- Natural language processing (Computer science) --- Machine translating. --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- NLP (Computer science) --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Translating and interpreting --- Cross-language information retrieval --- Translating machines --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Natural language processing (Computer science). --- Translating and interpreting. --- Natural Language Processing (NLP). --- Interpretation and translation --- Interpreting and translating --- Language and languages --- Literature --- Translation and interpretation --- Translators --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Mathematical linguistics --- Multilingual computing --- Translating --- Data processing
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This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
Computer science --- Computer architecture. Operating systems --- Translation science --- Mathematical linguistics --- Linguistics --- spraaktechnologie --- machine learning --- computers --- vertalen --- linguïstiek --- computerkunde
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