On Machine Translation: Selected Papers (Janua Linguarum. Series Minor, 128)

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(as of Dec 28,2024 11:57:41 UTC – Details)

Publisher ‏ : ‎ De Gruyter Mouton; Reprint 2018 edition (January 1, 1972)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 141 pages
ISBN-10 ‏ : ‎ 9027920044
ISBN-13 ‏ : ‎ 978-9027920041
Item Weight ‏ : ‎ 14.3 ounces
Dimensions ‏ : ‎ 6.14 x 0.5 x 9.21 inches

In this post, we will be discussing the selected papers from the book “On Machine Translation” in the Janua Linguarum. Series Minor, 128. This book delves into the fascinating world of machine translation and provides insights into the latest developments in this field.

Some of the key topics covered in this book include:

1. Neural Machine Translation: This paper discusses the advancements in neural machine translation models, which have revolutionized the way translations are done by mimicking the human brain’s ability to learn and adapt.

2. Transfer Learning in Machine Translation: Transfer learning is a technique that allows a model to leverage knowledge gained from one task to improve performance on another task. This paper explores how transfer learning can be applied to machine translation to enhance translation quality and efficiency.

3. Evaluation Metrics for Machine Translation: Evaluating the performance of machine translation systems is crucial for improving their accuracy and reliability. This paper introduces various evaluation metrics used in assessing the quality of machine translations, such as BLEU score, TER score, and METEOR score.

Overall, “On Machine Translation” offers valuable insights into the current state of machine translation technology and its implications for the future of language translation. It is a must-read for anyone interested in the intersection of technology and language.
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