L
Lori Levin
Researcher at Carnegie Mellon University
Publications - 102
Citations - 2393
Lori Levin is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Machine translation & Rule-based machine translation. The author has an hindex of 28, co-authored 102 publications receiving 2170 citations. Previous affiliations of Lori Levin include Karlsruhe Institute of Technology & Johns Hopkins University.
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Proceedings ArticleDOI
URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors
TL;DR: The URIEL knowledge base for massively multilingual NLP and the lang2vec utility, which provides information-rich vector identifications of languages drawn from typological, geographical, and phylogenetic databases and normalized to have straightforward and consistent formats, naming, and semantics are introduced.
Proceedings ArticleDOI
Janus-III: speech-to-speech translation in multiple languages
Alon Lavie,Alex Waibel,Lori Levin,Michael Finke,Donna Gates,Marsal Gavalda,T. Zeppenfeld,Puming Zhan +7 more
TL;DR: JANUS-III, the most recent version of the JANUS speech-to-speech translation system, is described and an overview of the system is presented and focus on how system design facilitates speech translation between multiple languages, and allows for easy adaptation to new source and target languages.
Proceedings Article
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
TL;DR: It is shown that phonological features outperform character-based models in PanPhon, a database relating over 5,000 IPA segments to 21 subsegmental articulatory features that boosts performance in various NER-related tasks.
Proceedings ArticleDOI
Committed Belief Annotation and Tagging
TL;DR: This work aims to model people's cognitive states, namely their beliefs as expressed through linguistic means, and shows that automatic prediction of a belief class is a feasible task.
Proceedings ArticleDOI
The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations
TL;DR: A new version of the BECauSE corpus is presented with exhaustively annotated expressions of causal language, but also seven semantic relations that are frequently co-present with causation, showing high inter-annotator agreement.