Center for Language and Speech Processing

In Cross-Lingual Annotation, Three’s Company

Hopkins engineers combine two automated alignment methods with a human annotator to provide best combination of accuracy and efficiency.

System comprises a silicon “brain” in layers of connected silicon neurons.

Johns Hopkins computer scientists demonstrate that yes-or-no questions can aid in the usability of semantic parsing models.

Johns Hopkins computer scientists introduce a new method to reduce the size of multilingual language models