Results 51 to 60 of about 325,723 (299)

STOUT: SMILES to IUPAC names using neural machine translation

open access: yesJournal of Cheminformatics, 2021
Chemical compounds can be identified through a graphical depiction, a suitable string representation, or a chemical name. A universally accepted naming scheme for chemistry was established by the International Union of Pure and Applied Chemistry (IUPAC ...
Kohulan Rajan   +2 more
doaj   +1 more source

A North Saami to South Saami Machine Translation Prototype

open access: yesNorthern European Journal of Language Technology, 2016
The paper describes a rule-based machine translation (MT) system from North to South Saami. The system is designed for a workflow where North Saami functions as pivot language in translation from Norwegian or Swedish. We envisage manual translation from
Lene Antonsen   +2 more
doaj   +1 more source

Brain-Computer Interface-Based Humanoid Control: A Review

open access: yesSensors, 2020
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI.
Vinay Chamola   +3 more
doaj   +1 more source

LOST IN MACHINE TRANSLATION: CONTEXTUAL LINGUISTIC UNCERTAINTY

open access: yesVestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, 2019
The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and ...
Anton V. Sukhoverkhov   +4 more
doaj   +1 more source

Fine-tuning machine translation quality-rating scales for new digital genres: The case of user-generated content

open access: yesEstudios de Lingüística, 2022
With the active participation of users in product review platforms, online consumer-generated content, and, more specifically, user-generated reviews, have become a clear reference in purchasing decision-making processes, which sometimes ...
Miguel A. Candel-Mora
doaj   +1 more source

ARABIC-MALAY MACHINE TRANSLATION USING RULE-BASED APPROACH [PDF]

open access: yesJournal of Computer Science, 2014
Arabic machine translation has been taking place in machine translation projects in recent years. This study concentrates on the translation of Arabic text to i ts equivalent in Malay language. The problem of thi s research is the syntactic and morphological differe nces between Arabic and Malay adjective sentences.
Mohd Juzaiddin Ab Aziz   +1 more
openaire   +2 more sources

A MOOC on Approaches to Machine Translation

open access: yesInternational Review of Research in Open and Distributed Learning, 2015
This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future.
Marta Ruiz Costa-jussà   +4 more
doaj   +1 more source

A review of optical chemical structure recognition tools

open access: yesJournal of Cheminformatics, 2020
Structural information about chemical compounds is typically conveyed as 2D images of molecular structures in scientific documents. Unfortunately, these depictions are not a machine-readable representation of the molecules.
Kohulan Rajan   +3 more
doaj   +1 more source

Creating a list of word alignments from parallel Russian simplification data

open access: yesFrontiers in Artificial Intelligence, 2022
This work describes the development of a list of monolingual word alignments taken from parallel Russian simplification data. This word lists can be used in such lexical simplification tasks as rule-based simplification applications and lexically ...
Anna Dmitrieva   +3 more
doaj   +1 more source

Quick Back-Translation for Unsupervised Machine Translation [PDF]

open access: yesarXiv, 2023
The field of unsupervised machine translation has seen significant advancement from the marriage of the Transformer and the back-translation algorithm. The Transformer is a powerful generative model, and back-translation leverages Transformer's high-quality translations for iterative self-improvement.
arxiv  

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