Current and Recent Research ProjectsThe Natural Language Group at ISI has a wide range of ongoing projects, including those related to statistical machine translation, tree transducers, parsing and synchronous tree grammars, discriminative word alignment, question answering, summarization, ontologies, information retrieval, and natural language generation.
Principal Research Areas
Statistical Machine Translationsyntax-based translation
statistical word alignment
Ontologies, Text Mining, and Lexical Semanticssemantic representation
semi-automated ontology creation
large-scale text annotation
Machine Learningmulti-dimensional search and optimization
Digital Governmentdatabase alignment
public commentary analysis
automated ontology creation
Information Retrieval and Extractionsemantic clustering
large-scale data processing
biomedical information extraction
Discourse and Summarizationdiscourse parsing
automated summarization evaluation
USC is home to one of the fastest and most powerful supercomputing clusters in the world, and has been ranked among the top ten most powerful computer system in an academic setting in the nation. The USC Center for High-Performance Computing and Communications (HPCC) has quickly risen to become a leader in research computing. The NL group uses this large computing grid to support ongoing research projects.
The Natural Language Group at USC/ISI has a long and unbroken history of informal weekly seminars. Researchers, faculty, and students from ISI, as well as visiting researchers from other institutions, meet to present ideas, report on interesting experiments, and even give practice talks for upcoming conference meetings.
Since 1995, the Intelligent Systems Division at USC/ISI has run an AI seminar series, in which excellent speakers, often from outside the university, visit, give talks, and meet with other ISI researchers.
[Tratz and Hovy, 2008]
Finite-state string transducer tookit
[Knight and Graehl, 1999]
Word alignment package for Statistical Machine Translation
[Riesa et al., 2011]
Phrase-based decoder for Statistical Machine Translation
[Koehn et al., 2003]
Word-level decoder for Statistical Machine Translation
[Germann et al., 2001]
[Lin and Hovy, 2004, 2006]
Finite-state tree transducer toolkit
[May and Knight, 2006]