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Applying automated machine translation to educational video courses
We studied the capability of automated machine translation in the online video education space by automatically translating Khan Academy videos with...
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Trust, understanding, and machine translation: the task of translation and the responsibility of the translator
Could translation be fully automated? We must first acknowledge the complexity, ambiguity, and diversity of natural languages. These aspects of...
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Two-Phased Dynamic Language Model: Improved LM for Automated Language Translation
We discuss the importance of domain specific language model in statistical machine translation system. Both the structures and phrase selection are...
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A Corpus-Based Auto-encoder-and-Decoder Machine Translation Using Deep Neural Network for Translation from English to Telugu Language
There is a huge demand for machine translation to design automated auto-encoders that can convert English to the Telugu language. Neural machine...
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Machine Translation Based on Neural Network: A Case Study of Est Translation
Machine translation based on neural network plays an important role in EST translation. EST translation involves the processing of technical terms...
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Parts of Speech Tagged Phrase-Based Statistical Machine Translation System for English → Mizo Language
In Natural Language Processing (NLP), Parts of Speech (PoS) tagging is one of the most crucial steps of pre-processing in every language system. PoS...
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Text-Text Neural Machine Translation: A Survey
AbstractWe present a review of Neural Machine Translation (NMT), which has got much popularity in recent decades. Machine translation eased the way...
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Machine translation status of Indian scheduled languages: A survey
Machine Translation (MT) being an emerging area of research has currently gained significant attention from researchers primarily because of...
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Extending OpenMP to Support Automated Function Specialization Across Translation Units
OpenMP’s variant directives support specialization at compilation time using OpenMP context for portability or performance. This specialization is...
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Automated programming, symbolic computation, machine learning: my personal view
In this note, I present my personal view on the interaction of the three areas Automated Programming, Symbolic Computation, and Machine Learning....
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Error Analysis of Pretrained Language Models (PLMs) in English-to-Arabic Machine Translation
Advances in neural machine translation utilizing pretrained language models (PLMs) have shown promise in improving the translation quality between...
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A Systematic survey on automated text generation tools and techniques: application, evaluation, and challenges
Automatic text generation is the generation of natural language text by machines. Enabling machines to generate readable and coherent text is one of...
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Crosslingual Content Scoring in Five Languages Using Machine-Translation and Multilingual Transformer Models
This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in...
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Using model-driven engineering to automate software language translation
The porting or translation of software applications from one programming language to another is a common requirement of organisations that utilise...
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Automated Reasoning for Mathematics
Throughout the history of automated reasoning, mathematics has been viewed as a prototypical domain of application. It is therefore surprising that...
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Automated legal reasoning with discretion to act using s(LAW)
Automated legal reasoning and its application in smart contracts and automated decisions are increasingly attracting interest. In this context,...
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Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT
Producing a high-quality review translation is a multifaceted process. It goes beyond successful semantic transfer and requires conveying the...
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HMPT: a human–machine cooperative program translation method
Program translation aims to translate one kind of programming language to another, e.g., from Python to Java. Due to the inefficiency of translation...
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A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics
The fast advancement in machine translation models necessitates the development of accurate evaluation metrics that would allow researchers to track...
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Unlocking the language barrier: A Journey through Arabic machine translation
Arabic Machine Translation (MT) has gained considerable attention from the research community due to the widespread use of Arabic as one of the...
