Evidence for increased discriminability in judging the acceptability of machine translations : the case for magnitude estimation / James D. Walrath.

Format:

Book

Government document

Author/Creator:

Walrath, James D., author.

Contributor:

U.S. Army Research Laboratory, issuing body.

Language:

English

Subjects (All):

Computational linguistics.

Perception--Testing.

Perception.

computational linguistics.

Physical Description:

1 online resource (14 pages)

Distribution:

Ft. Belvoir : Defense Technical Information Center

Place of Publication:

Adelphi, MD : Army Research Laboratory, May 2009.

Summary:

An earlier experiment, in which magnitude estimation (ME) was used as the method for judging the acceptability of machine translations, was replicated with one exception. The current study used a four-point Likert scale as the measurement methodology. In the earlier work, using ME, judges easily discriminated between two sets of machine translations, one containing 25% more correctly translated names than the other. In this study, using a Likert scale, judges were not able to make the same discrimination. These results support the theory that ME may be a superior measurement methodology for assessing the acceptability of machine translations.

Notes:

"ARL-MR-0720."

"May 2009."

"Approved for public release; distribution unlimited."

Includes bibliographical references (page 6).

Other Format:

Print version: Walrath, James D. Evidence for increased discriminability in judging the acceptability of machine translations

OCLC:

426122130