Demo Data from VLDB 2026 / reviewers in the wild / expert
Hyun S. Park
dblp:10/2197
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Machine translation · 100% | |
| Theoretical computer science
1 paper |
Automata and formal languages · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Machine translation
syntax-based machine translation |
0.0 | 1 | 1995 | Mapping Scrambled Korean Senteces into English Using Synchronous TAGs · ACL 1995 |
Automata and formal languages
tree adjoining grammar |
0.0 | 1 | 1995 | Mapping Scrambled Korean Senteces into English Using Synchronous TAGs · ACL 1995 |
Methods — techniques the papers use, named apart from their topics
multi-component tree adjoining grammar · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Mapping Scrambled Korean Senteces into English Using Synchronous TAGsabstractSynchronous Tree Adjoining Grammars can be used for Machine Translation. However, translating a free order language such as Korean to English is complicated. I present a mechanism to translate scrambled Korean sentences into English by combining the concepts of Multi-Component TAGs (MC-TAGs) and Synchronous TAGs (STAGs). Hyun S. Park |
ACL | 1 |