Search Results for author: Weston Feely

Found 6 papers, 1 papers with code

Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation

no code implementations WS 2019 Weston Feely, Eva Hasler, Adri{\`a} de Gispert

In the Japanese language different levels of honorific speech are used to convey respect, deference, humility, formality and social distance.

Machine Translation NMT +2

The CMU METAL Farsi NLP Approach

1 code implementation LREC 2014 Weston Feely, Mehdi Manshadi, Robert Frederking, Lori Levin

While many high-quality tools are available for analyzing major languages such as English, equivalent freely-available tools for important but lower-resourced languages such as Farsi are more difficult to acquire and integrate into a useful NLP front end.

Dependency Parsing

Resources for the Detection of Conventionalized Metaphors in Four Languages

no code implementations LREC 2014 Lori Levin, Teruko Mitamura, Brian MacWhinney, Davida Fromm, Jaime Carbonell, Weston Feely, Robert Frederking, Anatole Gershman, Carlos Ramirez

The extraction rules operate on the output of a dependency parser and identify the grammatical configurations (such as a verb with a prepositional phrase complement) that are likely to contain conventional metaphors.

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