A Human-machine Cooperation Protocol for Machine Translation Output Edit Annotation

Tradumàtica tecnologies de la traducció ◽

10.5565/rev/tradumatica.292 ◽

2021 ◽

pp. 148-170

Author(s):

Felipe De Almeida Costa ◽

Adriana S Pagano ◽

Thiago Castro Ferreira ◽

Wagner Meira, Jr.

Keyword(s):

Machine Translation ◽

New Method ◽

Cooperation Protocol

We report on a study exploring automatic edit annotation in a post-editing corpus with a new method for computing edit types. We examine edit type association with quality scores assigned to the machine translation output and the post-edited texts. Finally, we account for shortcomings in our method and point out edit types worth leveraging.

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Quiz-Based Evaluation of Machine Translation

Prague Bulletin of Mathematical Linguistics ◽

10.2478/v10108-011-0006-1 ◽

2011 ◽

Vol 95 (1) ◽

pp. 77-86 ◽

Cited By ~ 2

Author(s):

Jan Berka ◽

Martin Černý ◽

Ondřej Bojar

Keyword(s):

Machine Translation ◽

Statistical Machine Translation ◽

New Method ◽

The Individual ◽

Extract Information

Quiz-Based Evaluation of Machine Translation This paper proposes a new method of manual evaluation for statistical machine translation, the so-called quiz-based evaluation, estimating whether people are able to extract information from machine-translated texts reliably. We apply the method to two commercial and two experimental MT systems that participated in WMT 2010 in English-to-Czech translation. We report inter-annotator agreement for the evaluation as well as the outcomes of the individual systems. The quiz-based evaluation suggests rather different ranking of the systems compared to the WMT 2010 manual and automatic metrics. We also see that overall, MT quality is becoming acceptable for obtaining information from the text: about 80% of questions can be answered correctly given only machine-translated text.

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A New Method for Word Alignment of Tibetan-Chinese Machine Translation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1048.521 ◽

2014 ◽

Vol 1048 ◽

pp. 521-525

Author(s):

Fu Cheng Wan ◽

Xiang Zhen He ◽

Hong Zhi Yu

Keyword(s):

Machine Translation ◽

New Method ◽

Word Alignment ◽

Translation Model ◽

Syntactic Cues

We propose a new simple but effective method for building Tibetan-Chinese machine Translation corpus and a novel Tibetan-Chinese Machine Translation model integrating Tibetan syntactic cues which is based on the Treebank, this model can be used on the system of Tibetan-Chinese Machine Translation successfully . Keywords: syntactic Treebank; Tibetan syntactic cues ; Machine Translation;

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Selective Sampling and Orientation of Non-Homogeneous Tissues

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100100238 ◽

1968 ◽

Vol 26 ◽

pp. 98-99

Author(s):

C. C. Clawson ◽

L. W. Anderson ◽

R. A. Good

Keyword(s):

Electron Microscopy ◽

Electron Microscope ◽

Light Microscopy ◽

Random Sampling ◽

New Method ◽

Microscope Examination ◽

Small Areas ◽

Selective Sampling ◽

Large Numbers ◽

Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

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