Morphology &amp; word sense disambiguation embedded multimodal neural machine translation system between Sanskrit and Malayalam

Rahul, C; Arathi, T.; Panicker, Lakshmi. S.; Gopikakumari, R.

doi:10.1016/j.bspc.2023.105051

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Cited by 3 publications

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Overview and challenges of machine translation for contextually appropriate translations

Naveen,

Trojovský

2024

iScience

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Overview and challenges of machine translation for contextually appropriate translations

Naveen,

Trojovský

2024

iScience

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Low-Resource Neural Machine Translation: A Systematic Literature Review

Yazar,

Şahın,

Kiliç

2023

IEEE Access

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In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource neural machine translation literature. According to the inclusion and exclusion criteria, 45 studies were selected for review. After the relevant studies were identified, three research questions were aimed to be answered. The first research question is to identify the study directions and language pairs used in low-resource neural machine translation. The second research question aims to identify which deep learning methods are used in low-resource neural machine translation and which metrics are used to evaluate these methods. The third research question is to determine the bilingual and monolingual corpora used in the studies and the preferred development environments. In addition, the studies with the most commonly used language pairs were analyzed, and directions for future studies were made.

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A Novel Transformer-Based Model for Comprehensive Text-Aware Service Composition in Cloud-Based Manufacturing

Bouzary,

Chen,

Maghanaki

et al. 2023

Preprint

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Morphology & word sense disambiguation embedded multimodal neural machine translation system between Sanskrit and Malayalam

Cited by 3 publications

References 27 publications

Overview and challenges of machine translation for contextually appropriate translations

Overview and challenges of machine translation for contextually appropriate translations

Low-Resource Neural Machine Translation: A Systematic Literature Review

A Novel Transformer-Based Model for Comprehensive Text-Aware Service Composition in Cloud-Based Manufacturing

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