Results 11 to 20 of about 33,558 (268)

The Machine Translation Leaderboard [PDF]

open access: yesThe Prague Bulletin of Mathematical Linguistics, 2014
Abstract Much of an instructor's time is spent on the management and grading of homework. We present the Machine Translation Leaderboard, a platform for managing, displaying, and automatically grading homework assignments. It runs on Google App Engine, which provides hosting and user management services.
Lopez, Adam; id_orcid 0000-0002-1533-9424   +1 more
openaire   +2 more sources

CoTranslate: A web-based tool for crowdsourcing high-quality sentence pair corpora

open access: yesSoftwareX, 2023
CoTranslate is a web-based platform designed to efficiently label and review translations from language experts, with the aim of creating high-quality sentence-pair corpuses for training neural machine translation models.
Andrés Carvallo   +2 more
doaj   +1 more source

An Overview of the Shared Task on Machine Translation in Indian Languages (MTIL) – 2017

open access: yesJournal of Intelligent Systems, 2019
In recent years, the multilingual content over the internet has grown exponentially together with the evolution of the internet. The usage of multilingual content is excluded from the regional language users because of the language barrier.
Kumar M. Anand   +4 more
doaj   +1 more source

Sign Language Avatars: A Question of Representation

open access: yesInformation, 2022
Given the achievements in automatically translating text from one language to another, one would expect to see similar advancements in translating between signed and spoken languages. However, progress in this effort has lagged in comparison.
Rosalee Wolfe   +9 more
doaj   +1 more source

Consolidating Cultural and Contextual Analysis into the Evaluation of Machine Translation on Naguib Mahfouz's novel "Palace Walk" [PDF]

open access: yesMaǧallaẗ Kulliyyaẗ Al-Adāb - Ǧāmiʿaẗ Al-Fayūm
This research investigates the machine translation quality in translating literary works with regard to culture and context. This study addresses how the systems of machine translation tackle expressions embedded in the culture and juxtaposes it with the
Ahmed Abdelmejid Ahmed Abdelmejid
doaj   +1 more source

Deep Learning-Based English-Chinese Translation Research

open access: yesAdvances in Meteorology, 2022
Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. However, because NMT only employs single neural networks to convert natural languages, it suffers from two drawbacks in terms of ...
Yao Huang, Yi Xin
doaj   +1 more source

Neural Machine Translation Advised by Statistical Machine Translation

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2017
Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al. 2016b; 2016a; He et al. 2016; Tu et al. 2017). This is in contrast to conventional Statistical Machine Translation (
Xing Wang 0007   +5 more
openaire   +2 more sources

Body Parts Expressions between Praising and condemning; “An Arabic-English Contrastive Study with implications for Translation” [PDF]

open access: yesMaǧallaẗ Kulliyyaẗ Al-Adāb - Ǧāmiʿaẗ Al-Fayūm, 2021
المستخلص Expressions including names of body parts behave differently in Arabic and English. Most of these expressions are used to indicate meanings beyond the body parts involved in them.
رواء أنور
doaj   +1 more source

Experimental study of the impact of using hybride machine translation engines on the quality of translation of texts in the field of ornamental horticulture

open access: yesВісник Харківського національного університету імені В. Н. Каразіна. Серія Іноземна філологія. Методика викладання іноземних мов, 2023
The article is devoted to the study of the impact of using hybrid machine translation engines (Onlinedoctranslator and DeepL Translate) on the quality of translation of texts in the field of ornamental horticulture.
Alla Olkhovska, Liliya Levchenko
doaj   +1 more source

A Deep Learning Approach for Gloss Sign Language Translation using Transformer [PDF]

open access: yesJournal of Computing and Communication, 2022
One of the most recent applications of machine learning is to translate sign language into natural language. Many studies have attempted to classify sign language based on whether it is gesture or facial expression. These efforts, however, ignore genuine
Ammar Mohamed   +2 more
doaj   +1 more source

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