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 …
A taxonomy and study of critical errors in machine translation
K Al Sharou, L Specia - … of the 23rd annual conference of the …, 2022 - aclanthology.org
Not all machine mistranslations are equal. For example, mistranslating a date or time in an
appointment, mistranslating the number or currency in a contract, or hallucinating profanity …
appointment, mistranslating the number or currency in a contract, or hallucinating profanity …
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 …
Topic modelling of swedish newspaper articles about coronavirus: a case study using latent dirichlet allocation method
Topic Modelling (TM) is a natural language processing (NLP) method for discovering topics
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
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 …
CantonMT: Cantonese-English neural machine translation looking into evaluations
Cantonese-English is a low-resource language pair for machine translation (MT) studies,
despite the vast amount of English content publicly available online and the large amount of …
despite the vast amount of English content publicly available online and the large amount of …
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce
In natural language processing (NLP) we always rely on human judgement as the golden
quality evaluation method. However, there has been an ongoing debate on how to better …
quality evaluation method. However, there has been an ongoing debate on how to better …
CantonMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
This paper investigates the development and evaluation of machine translation models from
Cantonese to English (and backward), where we propose a novel approach to tackle low …
Cantonese to English (and backward), where we propose a novel approach to tackle low …