Josef van Genabith mainly investigates Artificial intelligence, Natural language processing, Parsing, Speech recognition and Machine translation. His Artificial intelligence research incorporates themes from Machine learning and Arabic. His Natural language processing research incorporates elements of Dependency and Grammar.
The study incorporates disciplines such as Syntax, Variety and Phrase in addition to Speech recognition. His study in Machine translation is interdisciplinary in nature, drawing from both Domain and Translation. His research investigates the connection between Treebank and topics such as Structure that intersect with issues in Unification and Annotation.
Josef van Genabith focuses on Artificial intelligence, Natural language processing, Machine translation, Parsing and Speech recognition. His studies in Artificial intelligence integrate themes in fields like Machine learning and Task. His studies deal with areas such as Annotation and Grammar as well as Natural language processing.
His Machine translation research is multidisciplinary, incorporating perspectives in Translation and Phrase. His Speech recognition research is multidisciplinary, incorporating elements of Sentence, Context and Test set. His Treebank study combines topics from a wide range of disciplines, such as Probabilistic logic, Arabic, German and Link grammar.
His primary scientific interests are in Machine translation, Artificial intelligence, Transformer, Natural language processing and Translation. Josef van Genabith has researched Machine translation in several fields, including Machine learning, Contrast, Task and Human–computer interaction. His research in Artificial intelligence is mostly concerned with Computational linguistics.
He interconnects Algorithm, Residual, Phrase and Pronoun in the investigation of issues within Transformer. Josef van Genabith is interested in Hindi, which is a branch of Natural language processing. The various areas that Josef van Genabith examines in his Translation study include Curriculum, Representation, Index and Readability.
His main research concerns Machine translation, Artificial intelligence, Algorithm, Transformer and Natural language processing. Josef van Genabith combines subjects such as Speech recognition and Task with his study of Machine translation. His Task study integrates concerns from other disciplines, such as Computational linguistics and Contrast.
His research links Machine learning with Artificial intelligence. His research integrates issues of Initialization and Normalization in his study of Algorithm. Josef van Genabith studies BLEU, a branch of Natural language processing.
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Discourse representation theory
Hans Kamp;Josef Van Genabith;Uwe Reyle.
IBM Germany Scientific Symposium Series (2011)
#hardtoparse: POS tagging and parsing the twitterverse
Jennifer Foster;Özlem Çetinoǧlu;Joachim Wagner;Joseph Le Roux.
national conference on artificial intelligence (2011)
Learning Morphology with Morfette
Grzegorz Chrupala;Georgiana Dinu;Josef van Genabith.
language resources and evaluation (2008)
Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations
Aoife Cahill;Michael Burke;Ruth O'Donovan;Josef Van Genabith.
meeting of the association for computational linguistics (2004)
QuestionBank: Creating a Corpus of Parse-Annotated Questions
John Judge;Aoife Cahill;Josef van Genabith.
meeting of the association for computational linguistics (2006)
Bridging SMT and TM with Translation Recommendation
Yifan He;Yanjun Ma;Josef van Genabith;Andy Way.
meeting of the association for computational linguistics (2010)
From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0
Jennifer Foster;Ozlem Cetinoglu;Joachim Wagner;Joseph Le Roux.
international joint conference on natural language processing (2011)
Automatic Extraction of Arabic Multiword Expressions
Mohammed Attia;Antonio Toral;Lamia Tounsi;Pavel Pecina.
international conference on computational linguistics (2010)
Statistical Post-Editing for a Statistical MT System
Hanna Bechara;Yanjun Ma;Josef van Genabith.
Proceedings of Machine Translation Summit XIII: Papers (2011)
Exploring the Use of Text Classification in the Legal Domain
Octavia-Maria Sulea;Marcos Zampieri;Shervin Malmasi;Mihaela Vela.
arXiv: Computation and Language (2017)
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