A review of the state-of-the-art in automatic post-editing
This article presents a review of the evolution of automatic post-editing, a term that describes
methods to improve the output of machine translation systems, based on knowledge …
methods to improve the output of machine translation systems, based on knowledge …
Findings of the 2016 conference on machine translation (wmt16)
This paper presents the results of the WMT16 shared tasks, which included five machine
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …
[PDF][PDF] Findings of the 2014 workshop on statistical machine translation
This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …
translation task, a separate medical translation task, a task for run-time estimation of …
Systran's pure neural machine translation systems
Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT
development has recently moved from laboratory to production systems as demonstrated by …
development has recently moved from laboratory to production systems as demonstrated by …
Log-linear combinations of monolingual and bilingual neural machine translation models for automatic post-editing
This paper describes the submission of the AMU (Adam Mickiewicz University) team to the
Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural …
Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural …
ESCAPE: a large-scale synthetic corpus for automatic post-editing
Training models for the automatic correction of machine-translated text usually relies on data
consisting of (source, MT, human post-edit) triplets providing, for each source sentence …
consisting of (source, MT, human post-edit) triplets providing, for each source sentence …
Can automatic post-editing improve NMT?
Automatic post-editing (APE) aims to improve machine translations, thereby reducing human
post-editing effort. APE has had notable success when used with statistical machine …
post-editing effort. APE has had notable success when used with statistical machine …
Improving zero-shot translation of low-resource languages
Recent work on multilingual neural machine translation reported competitive performance
with respect to bilingual models and surprisingly good performance even on (zeroshot) …
with respect to bilingual models and surprisingly good performance even on (zeroshot) …
[PDF][PDF] Exploring the planet of the apes: a comparative study of state-of-the-art methods for mt automatic post-editing
Downstream processing of machine translation (MT) output promises to be a solution to
improve translation quality, especially when the MT system's internal decoding process is …
improve translation quality, especially when the MT system's internal decoding process is …
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 …