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Found 9 papers, 4 papers with code
What’s the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT
Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation (HT) contains such errors has not yet been compared to MT.
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
We hypothesise that creating training data in the reverse direction, i. e. starting from gender-fair text, is easier for morphologically complex languages and show that it matches the performance of state-of-the-art rewriting models for English.
The Impact of Text Presentation on Translator Performance
Widely used computer-aided translation (CAT) tools divide documents into segments such as sentences and arrange them in a side-by-side, spreadsheet-like view.
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT
Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation (HT) contains such errors has not yet been compared to MT.
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a number of empirical investigations.
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
Neural machine translation (NMT) has set new quality standards in automatic translation, yet its effect on post-editing productivity is still pending thorough investigation.
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
Recent research suggests that neural machine translation achieves parity with professional human translation on the WMT Chinese--English news translation task.
Nematus: a Toolkit for Neural Machine Translation
We present Nematus, a toolkit for Neural Machine Translation.
Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task
We describe a machine learning based method to identify incorrect entries in translation memories.
