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This study presents a faster and less expensive strategy for evaluating terminology translation in MT.
2021/01/04 · This study presents a faster and less expensive strategy for evaluating terminology translation in MT. High correlations of our evaluation ...
This study presents a faster and less expensive strategy for evaluating terminology translation in MT. High correlations of our evaluation results with human ...
Fingerprint. Dive into the research topics of 'Terminology translation in low-resource scenarios'. Together they form a unique fingerprint.
The paper also introduces a classification framework, TermCat, that can automatically classify term translation-related errors and expose specific problems in ...
This study presents a faster and less expensive strategy for evaluating terminology translation in MT. High correlations of our evaluation results with human ...
Terminology Translation in Low-Resource Scenarios. Mohammed Hasanuzzaman. About. About Us · Our Team. Research. Research · Publications · Research Funding & ...
Terminology and Translation ; Copied Monolingual Data Improves Low-Resource Neural Machine Translation ; Use of Translation Software in Alignment of Terminology.
The objective of this study is to analyze the types and frequencies of terminology errors in custom statistical machine translation (SMT) and neural machine ...
Our rule-based inflection module helps NMT models incorporate lemma constraints more accurately than a neural module and outperforms the existing end-to-end ...