Translation quality assessment: A brief survey on manual and automatic methods
To facilitate effective translation modeling and translation studies, one of the crucial
questions to address is how to assess translation quality. From the perspectives of accuracy …
questions to address is how to assess translation quality. From the perspectives of accuracy …
An overview on machine translation evaluation
Since the 1950s, machine translation (MT) has become one of the important tasks of AI and
development, and has experienced several different periods and stages of development …
development, and has experienced several different periods and stages of development …
[PDF][PDF] Blend: a novel combined MT metric based on direct assessment—CASICT-DCU submission to WMT17 metrics task
Existing metrics to evaluate the quality of Machine Translation hypotheses take different
perspectives into account. DPM-Fcomb, a metric combining the merits of a range of metrics …
perspectives into account. DPM-Fcomb, a metric combining the merits of a range of metrics …
[كتاب][B] Syntax-based statistical machine translation
P Williams, R Sennrich, M Post, P Koehn - 2016 - Springer
This unique book provides a comprehensive introduction to the most popular syntax-based
statistical machine translation models, filling a gap in the current literature for researchers …
statistical machine translation models, filling a gap in the current literature for researchers …
Machine translation evaluation resources and methods: A survey
We introduce the Machine Translation (MT) evaluation survey that contains both manual and
automatic evaluation methods. The traditional human evaluation criteria mainly include the …
automatic evaluation methods. The traditional human evaluation criteria mainly include the …
[PDF][PDF] CASICT-DCU participation in WMT2015 metrics task
Human-designed sub-structures are required by most of the syntax-based machine
translation evaluation metrics. In this paper, we propose a novel evaluation metric based on …
translation evaluation metrics. In this paper, we propose a novel evaluation metric based on …
[PDF][PDF] BEER 1.1: ILLC UvA submission to metrics and tuning task
We describe the submissions of ILLC UvA to the metrics and tuning tasks on WMT15. Both
submissions are based on the BEER evaluation metric originally presented on WMT14 …
submissions are based on the BEER evaluation metric originally presented on WMT14 …
Otem&Utem: Over-and under-translation evaluation metric for NMT
Although neural machine translation (NMT) yields promising translation performance, it
unfortunately suffers from over-and under-translation issues [31], of which studies have …
unfortunately suffers from over-and under-translation issues [31], of which studies have …
Incorporate semantic structures into machine translation evaluation via UCCA
Copying mechanism has been commonly used in neural paraphrasing networks and other
text generation tasks, in which some important words in the input sequence are preserved in …
text generation tasks, in which some important words in the input sequence are preserved in …
An automatic machine translation evaluation metric based on dependency parsing model
Most of the syntax-based metrics obtain the similarity by comparing the sub-structures
extracted from the trees of hypothesis and reference. These sub-structures are defined by …
extracted from the trees of hypothesis and reference. These sub-structures are defined by …