His Mathematical analysis research is intertwined with Domain (mathematical analysis) and Tree (set theory). Daniel Marcu integrates Domain (mathematical analysis) and Mathematical analysis in his research. His Artificial intelligence study frequently links to other fields, such as Sentence. In his works, Daniel Marcu undertakes multidisciplinary study on Natural language processing and Natural language understanding. His study brings together the fields of Domain adaptation and Classifier (UML). His research on Programming language frequently connects to adjacent areas such as Classifier (UML). Daniel Marcu merges Linguistics with Parsing in his research. Daniel Marcu applies his multidisciplinary studies on Parsing and Natural language in his research. His work in Natural language is not limited to one particular discipline; it also encompasses Natural language understanding.
Artificial intelligence and Classifier (UML) are frequently intertwined in his study. Daniel Marcu combines topics linked to Artificial intelligence with his work on Classifier (UML). The study of Natural language processing is intertwined with the study of Sentence in a number of ways. His Programming language study frequently links to other fields, such as Set (abstract data type). His Programming language research extends to the thematically linked field of Set (abstract data type). His research on Linguistics often connects related areas such as Word (group theory). His studies link Linguistics with Word (group theory). His study connects Parallel corpora and Machine translation. His study on Parallel corpora is mostly dedicated to connecting different topics, such as Machine translation.
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Statistical phrase-based translation
Philipp Koehn;Franz Josef Och;Daniel Marcu.
north american chapter of the association for computational linguistics (2003)
Domain adaptation for statistical classifiers
Hal Daumé;Daniel Marcu.
Journal of Artificial Intelligence Research (2006)
The Theory and Practice of Discourse Parsing and Summarization
The Rhetorical Parsing of Unrestricted Natural Language Texts
meeting of the association for computational linguistics (1997)
A Phrase-Based,Joint Probability Model for Statistical Machine Translation
Daniel Marcu;Daniel Wong.
empirical methods in natural language processing (2002)
What’s in a translation rule?
Michel Galley;Mark Hopkins;Kevin Knight;Daniel Marcu.
north american chapter of the association for computational linguistics (2004)
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Kevin Knight;Daniel Marcu.
Artificial Intelligence (2002)
Search-based structured prediction
Hal Daumé;John Langford;Daniel Marcu.
Machine Learning (2009)
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
Lynn Carlson;Daniel Marcu;Mary Ellen Okurowski.
annual meeting of the special interest group on discourse and dialogue (2001)
Statistics-Based Summarization - Step One: Sentence Compression
Kevin Knight;Daniel Marcu.
national conference on artificial intelligence (2000)
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