Error classification and analysis for machine translation quality assessment
M Popović - Translation quality assessment: From principles to …, 2018 - Springer
This chapter presents an overview of different approaches and tasks related to classification
and analysis of errors in machine translation (MT) output. Manual error classification is a …
and analysis of errors in machine translation (MT) output. Manual error classification is a …
[PDF][PDF] WordNet gloss translation for under-resourced languages using multilingual neural machine translation
BR Chakravarthi, M Arcan… - Proceedings of the second …, 2019 - aclanthology.org
In this paper, we translate the glosses in the English WordNet based on the expand
approach for improving and generating wordnets with the help of multilingual neural …
approach for improving and generating wordnets with the help of multilingual neural …
Comparison of different orthographies for machine translation of under-resourced dravidian languages
BR Chakravarthi, M Arcan… - 2nd Conference on …, 2019 - drops.dagstuhl.de
Under-resourced languages are a significant challenge for statistical approaches to
machine translation, and recently it has been shown that the usage of training data from …
machine translation, and recently it has been shown that the usage of training data from …
A data augmentation method for English-Vietnamese neural machine translation
The translation quality of machine translation systems depends on the parallel corpus used
for training, particularly on the quantity and quality of the corpus. However, building a high …
for training, particularly on the quantity and quality of the corpus. However, building a high …
A reverse positional encoding multi-head attention-based neural machine translation model for arabic dialects
Languages with a grammatical structure that have a free order for words, such as Arabic
dialects, are considered a challenge for neural machine translation (NMT) models because …
dialects, are considered a challenge for neural machine translation (NMT) models because …
A survey of orthographic information in machine translation
Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …
has been explored in different languages. Recently researchers started paying attention …
A transformer-based neural machine translation model for Arabic dialects that utilizes subword units
Languages that allow free word order, such as Arabic dialects, are of significant difficulty for
neural machine translation (NMT) because of many scarce words and the inefficiency of …
neural machine translation (NMT) because of many scarce words and the inefficiency of …
Multilingual neural machine translation for low-resource languages
In recent years, Neural Machine Translation (NMT) has been shown to be more effective
than phrase-based statistical methods, thus quickly becoming the state of the art in machine …
than phrase-based statistical methods, thus quickly becoming the state of the art in machine …
Neural machine translation into language varieties
Both research and commercial machine translation have so far neglected the importance of
properly handling the spelling, lexical and grammar divergences occurring among language …
properly handling the spelling, lexical and grammar divergences occurring among language …
North korean neural machine translation through south korean resources
South and North Korea both use the Korean language. However, Korean natural language
processing (NLP) research has mostly focused on South Korean language. Therefore …
processing (NLP) research has mostly focused on South Korean language. Therefore …