A test suite for evaluation of English-to-Korean machine translation systems

By Sungryong Koh, J. Maeng, Jiyoung Lee, Y. Chae, Key-Sun Choi. 2001

11 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks, Machine Translation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Jan-Thorsten Peter
2. James R. Glass
3. Yonatan Belinkov
4. Aljoscha Burchardt

In Machine Translation

1. Yonatan Belinkov
2. James R. Glass
3. Jesse Vig
4. Hassan Sajjad
5. Fahim Dalvi
6. Nadir Durrani

Citations in the corpus

• Analysis Methods in Neural Language Processing: A Survey (2018, methodology): “An alternative evaluation framework consists of challenge sets, also known as test suites, which have been used in NLP for a long time (Lehmann et al., 1996), especially for evaluating MT systems (King and Falkedal, 1990; Isahara, 1995; Koh et al., 2001).”
• A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines (2017, background): “Apart from several singular attempts (King and Falkedal, 1990; Isahara, 1995; Koh et al., 2001, etc.) broadly-defined test suites have not generally been used in MT research.”