It takes the average reader 5 hours and 41 minutes to read Post-editing of Machine Translation by Laura Winther Balling
Assuming a reading speed of 250 words per minute. Learn more
Post-editing is possibly the oldest form of human-machine cooperation for translation. It has been a common practice for just about as long as operational machine translation systems have existed. Recently, however, there has been a surge of interest in post-editing among the wider user community, partly due to the increasing quality of machine translation output, but also to the availability of free, reliable software for both machine translation and post-editing. As a result, the practices and processes of the translation industry are changing in fundamental ways. This volume is a compilation of work by researchers, developers and practitioners of post-editing, presented at two recent events on post-editing: The first Workshop on Post-editing Technology and Practice, held in conjunction with the 10th Conference of the Association for Machine Translation in the Americas, held in San Diego, in 2012; and the International Workshop on Expertise in Translation and Post-editing Research and Application, held at the Copenhagen Business School, in 2012.
Post-editing of Machine Translation by Laura Winther Balling is 335 pages long, and a total of 85,425 words.
This makes it 113% the length of the average book. It also has 104% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 46 minutes to read Post-editing of Machine Translation aloud.
Post-editing of Machine Translation is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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