Search Results for author: Bonnie Dorr

Found 10 papers, 0 papers with code

Enhancing Phrase-Based Statistical Machine Translation by Learning Phrase Representations Using Long Short-Term Memory Network

no code implementations RANLP 2019 Benyamin Ahmadnia, Bonnie Dorr

Analytically, the performance of a PBSMT system is enhanced by using the conditional probabilities of phrase pairs computed by an LSTM encoder-decoder as an additional feature in the existing log-linear model.

Language Modelling Machine Translation +2

Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish

no code implementations RANLP 2019 Benyamin Ahmadnia, Bonnie Dorr

The quality of Neural Machine Translation (NMT), as a data-driven approach, massively depends on quantity, quality, and relevance of the training dataset.

Low-Resource Neural Machine Translation NMT +1

STYLUS: A Resource for Systematically Derived Language Usage

no code implementations COLING 2018 Bonnie Dorr, Clare Voss

We describe a resource derived through extraction of a set of argument realizations from an existing lexical-conceptual structure (LCS) Verb Database of 500 verb classes (containing a total of 9525 verb entries) to include information about realization of arguments for a range of different verb classes.

Dialogue Management Robot Navigation +1

Lexical Conceptual Structure of Literal and Metaphorical Spatial Language: A Case Study of ``Push''

no code implementations WS 2018 Bonnie Dorr, Mari Olsen

Prior methodologies for understanding spatial language have treated literal expressions such as {``}Mary pushed the car over the edge{''} differently from metaphorical extensions such as {``}Mary{'}s job pushed her over the edge{''}.

Machine Translation Translation +1

The Case for Systematically Derived Spatial Language Usage

no code implementations WS 2018 Bonnie Dorr, Clare Voss

This position paper argues that, while prior work in spatial language understanding for tasks such as robot navigation focuses on mapping natural language into deep conceptual or non-linguistic representations, it is possible to systematically derive regular patterns of spatial language usage from existing lexical-semantic resources.

Robot Navigation

Characterization of Divergence in Impaired Speech of ALS Patients

no code implementations WS 2017 Archna Bhatia, Bonnie Dorr, Kristy Hollingshead, Samuel L. Phillips, Barbara McKenzie

Approximately 80{\%} to 95{\%} of patients with Amyotrophic Lateral Sclerosis (ALS) eventually develop speech impairments, such as defective articulation, slow laborious speech and hypernasality.

Generating Extractive Summaries of Scientific Paradigms

no code implementations4 Feb 2014 Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie Dorr, David Zajic, Michael Whidby, Taesun Moon

Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.

Community Detection Dependency Parsing +1

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