22 citations · 38 across the 6 of their papers we have counts for
6 papers
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
Vesa Akerman, David Baines, Damien Daspit +7
Efficiently and accurately translating a corpus into a low-resource language remains a challenge, regardless of the strategies employed, whether manual, automated, or a combination…
User Study for Improving Tools for Bible Translation
Joel Mathew, Ulf Hermjakob
Technology has increasingly become an integral part of the Bible translation process. Over time, both the translation process and relevant technology have evolved greatly. More rec…
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
Sahil Garg, Aram Galstyan, Ulf Hermjakob +1
We advance the state of the art in biomolecular interaction extraction with three contributions: (i) We show that deep, Abstract Meaning Representations (AMR) significantly improve…
Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation
Michael Pust, Ulf Hermjakob, Kevin Knight +2
We present a parser for Abstract Meaning Representation (AMR). We treat English-to-AMR conversion within the framework of string-to-tree, syntax-based machine translation (SBMT). T…
Learning Parse and Translation Decisions From Examples With Rich Context
Ulf Hermjakob
We propose a system for parsing and translating natural language that learns from examples and uses some background knowledge. As our parsing model we choose a deterministic shift-…
Learning Parse and Translation Decisions From Examples With Rich Context
Ulf Hermjakob, Raymond J. Mooney
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning te…