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
L Han - arXiv preprint arXiv:2202.11027, 2022 - arxiv.org
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 …
Framework for handling rare word problems in neural machine translation system using multi-word expressions
Machine Translation (MT) systems are now being improved with the use of an ongoing
methodology known as Neural Machine Translation (NMT). Natural language processing …
methodology known as Neural Machine Translation (NMT). Natural language processing …
Measuring uncertainty in translation quality evaluation (TQE)
From both human translators (HT) and machine translation (MT) researchers' point of view,
translation quality evaluation (TQE) is an essential task. Translation service providers (TSPs) …
translation quality evaluation (TQE) is an essential task. Translation service providers (TSPs) …
HOPE: A task-oriented and human-centric evaluation framework using professional post-editing towards more effective MT evaluation
S Gladkoff, L Han - arXiv preprint arXiv:2112.13833, 2021 - arxiv.org
Traditional automatic evaluation metrics for machine translation have been widely criticized
by linguists due to their low accuracy, lack of transparency, focus on language mechanics …
by linguists due to their low accuracy, lack of transparency, focus on language mechanics …
Machine translation evaluation resources and methods: A survey
L Han - arXiv preprint arXiv:1605.04515, 2016 - arxiv.org
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 …
Chinese character decomposition for neural MT with multi-word expressions
Chinese character decomposition has been used as a feature to enhance Machine
Translation (MT) models, combining radicals into character and word level models. Recent …
Translation (MT) models, combining radicals into character and word level models. Recent …
AlphaMWE: Construction of multilingual parallel corpora with MWE annotations
In this work, we present the construction of multilingual parallel corpora with annotation of
multiword expressions (MWEs). MWEs include verbal MWEs (vMWEs) defined in the …
multiword expressions (MWEs). MWEs include verbal MWEs (vMWEs) defined in the …
A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations
In this paper, we present a study on the impact of so-called multiword expressions (MWEs)
and multiword named entities (NEs) on the performance of Chinese-English machine …
and multiword named entities (NEs) on the performance of Chinese-English machine …
Overview of MWE history, challenges, and horizons: standing at the 20th anniversary of the MWE workshop series via MWE-UD2024
Starting in 2003 when the first MWE workshop was held with ACL in Sapporo, Japan, this
year, the joint workshop of MWE-UD co-located with the LREC-COLING 2024 conference …
year, the joint workshop of MWE-UD co-located with the LREC-COLING 2024 conference …