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Dose multimodal machine translation can improve translation performance?
Multimodal machine translation (MMT) is a method that uses visual information to guide text translation. However, recent studies have engendered...
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A multitask co-training framework for improving speech translation by leveraging speech recognition and machine translation tasks
End-to-end speech translation (ST) has attracted substantial attention due to its less error accumulation and lower latency. Based on triplet ST data
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Improving Neural Machine Translation by Retrieving Target Translation Template
In the neural machine translation (NMT) paradigm, transformer-based NMT has achieved great progress in recent years. It is based on the standard...
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On the Translation of Automata to Linear Temporal Logic
While the complexity of translating future linear temporal logic (LTL) into automata on infinite words is well-understood, the size increase involved...
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Neural Machine Translation with Diversity-Enabled Translation Memory
Neural machine translation (NMT) using translation memory (TM) has been introduced as an emergent technique for improving machine translation systems...
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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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Neural Machine Translation with an Awareness of Semantic Similarity
Machine translation requires that source and target sentences have identical semantics. Previous neural machine translation (NMT) models have...
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Knowledge Discovery as Translation
This paper discusses a view to capture discovery as a translation from non-symbolic to symbolic representation. First, a relation between symbolic...
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Dual Frequency Transformer for Efficient SDR-to-HDR Translation
The SDR-to-HDR translation technique can convert the abundant standard-dynamic-range (SDR) media resources to high-dynamic-range (HDR) ones, which...
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Accuracy Correction of English Translation Based on Fuzzy Clustering Algorithm
As an international mainstream language, English is an important means in the process of international cultural interaction. Therefore, in recent...
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English-Afaan Oromo Machine Translation Using Deep Attention Neural Network
AbstractAttention-based neural machine translation (attentional NMT), which jointly aligns and translates, has got much popularity in recent years....
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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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Text-image matching for multi-model machine translation
Multi-modal machine translation (MMT) aims to use other modal information to assist text machine translation and to obtain higher quality translation...
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Real-time translation of English speech through speech feature extraction
Real-time English speech translation is useful in numerous situations, including business and travel. The goal of this research is to improve...
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Neural machine translation from text to sign language
The paper describes an ongoing project aimed at develo** a neural machine translation approach to translating text into sign language, with the...
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InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer
We present a novel Transformer-based network architecture for instance-aware image-to-image translation, dubbed InstaFormer, to effectively integrate...
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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...
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Machine Translation Performance Prediction System: Optimal Prediction for Optimal Translation
Machine translation performance prediction (MTPP) system (MTPPS) is an automatic, accurate, language and natural language processing (NLP) output...
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Transformer: A General Framework from Machine Translation to Others
Machine translation is an important and challenging task that aims at automatically translating natural language sentences from one language into...
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Machine translation and its evaluation: a study
Machine translation (namely MT) has been one of the most popular fields in computational linguistics and Artificial Intelligence (AI). As one of the...
