Results 21 to 30 of about 11,850,628 (306)
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages
, 2023 We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and propose a training curriculum fit for cases when both parallel training data and compute resource are lacking, reflecting the reality of most of the world's languages and the researchers working on these languages. Previously, unsupervised NMT, which
Garry Kuwanto +5 more
openaire +3 more sources
Energies, 2020 Thermal processes represent a considerable part of the total energy consumption in manufacturing industry, in sectors such as steel, aluminium, cement, ceramic and glass, among others.
Miguel Castro Oliveira +3 more
doaj +1 more source
Experimental study on characteristics of grounawater fracture in coalmine overlying rock
Meitan kexue jishu, 2023 The seepage characteristics of groundwater in the overlying fissures are the key factors to be considered in the later maintenance of coal mining and goaf, especially in the underground reservoir construction area of coal mines.
Haixiang LI +4 more
doaj +1 more source
Survey of Low-Resource Machine Translation
Computational Linguistics, 2022 AbstractWe present a survey covering the state of the art in low-resource machine translation (MT) research. There are currently around 7,000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation models. There has been increasing interest in research addressing the challenge of producing
Haddow, Barry +4 more
openaire +5 more sources
Life cycle energy and carbon emissions of colorants extraction from Hibiscus sabdariffa
Energy Reports, 2022 The food industry is interested in new plant-based, non-toxic, food additives to substitute synthetic ones. Aiming to support the development of H. sabdariffa bio-colorant extracts at an early stage, a cradle-to-gate life cycle assessment (LCA) approach ...
Helena Monteiro, Bruna Moura
doaj +1 more source
Environment International, 2020 Activated sludge processes with an ultra-short sludge retention time (ultra-short-SRT) are considered to have potential for energy and resource recovery from wastewater.
Yuting Shao +11 more
doaj +1 more source
Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition
Sensors, 2021 With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial.
Aleksandr Laptev +5 more
doaj +1 more source
Endangered Languages are not Low-Resourced [PDF]
, 2021 The term low-resourced has been tossed around in the field of natural language processing to a degree that almost any language that is not English can be called "low-resourced"; sometimes even just for the sake of making a mundane or mediocre paper appear more interesting and insightful.
openaire +4 more sources
Boosting the Transformer with the BERT Supervision in Low-Resource Machine Translation
Applied Sciences, 2022 Previous works trained the Transformer and its variants end-to-end and achieved remarkable translation performance when there are huge parallel sentences available.
Rong Yan +4 more
doaj +1 more source
Terminology Translation in Low-Resource Scenarios [PDF]
Information, 2019 Term translation quality in machine translation (MT), which is usually measured by domain experts, is a time-consuming and expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems often need to be updated for many reasons (e.g., availability of new training data, leading MT techniques).
Haque, Rejwanul +2 more
openaire +6 more sources