Parallel machine translation: principles and practice

Ren, Fuji; Shi, Hongchi

doi:10.1109/iceccs.2001.930184

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…A rule-based machine translation system for translating Chinese to Spanish is described by Centelles and Costa-Jussa [17]. A thorough explanation of parallel machine translation ideas and procedures is given by Ren and Shi [18]. Several NMT systems for Indian languages, including Hindi, are described by Pathak and Pakray [19], Saini and Sahula [20], and Verma et al [21], who also demonstrate that these systems may produce good translation quality.…”

Section: Literature Reviewmentioning

confidence: 99%

WITHDRAWN: A Transformer based approach using LSTM and Paraphrase reference to Translate English Text into Hindi

Sharma,

Joshi

2023

Preprint

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As many translation systems and applications, such as textual translation, speech systems, etc. use this approach very well with some constraints of grammatical accuracy and completeness, Machine translation is very old concept and work as an intermediary to perform cross-language communication in this age of the internet. Next, using SMT, these statements are translated into the target language without altering their original meaning Statistical Machine translation (SMT). In this paper, an English to Hindi Machine Translation system model was developed by employing the paraphrasing idea under the NMT tree (Neural Machine Translation). The metric scores produced by paraphrasing are closely like human utterances. In the proposed work, we develop a model that uses paraphrased references to convert plain English text into Hindi text. We will evaluate the translation's quality based on its sufficiency, fluency, and correspondence with human-predicted translation to determine how well this system replaces human expressions.

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Section: Literature Reviewmentioning

confidence: 99%

WITHDRAWN: A Transformer based approach using LSTM and Paraphrase reference to Translate English Text into Hindi

Sharma,

Joshi

2023

Preprint

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Sentience System Computer: principles and practices

Mitsuyoshi¹,

Ren

IEEE International Conference on Systems, Man and Cybernetics

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Research on artificial intelligence and sensitivity control technology progmses in recent years, and the technology of imitating human thinking, feeling, and sensitivity have been established. However, research on Sentience as the way of idea generation and intuition that are the origin of human being's intellectual production activity seems to have just started. Moreover, although thg field of quantum computer is also being researched briskly, no practical results have been produced yet. In this paper, a new machine called Sentience System Computer (SSC) is presented. SSC is an intuition computer system having self-intention. According to the interpretation in the many-worlds quantum theory, the spontaneous intuition of human can be defined as what is produced by interference from the self multiple worlds which are resulted from all piles of self-history. In this paper, we present the principles and practices of SSC, the basic spontaneity type algorithm. When applying SSC to sensitivity control technique, the process of generating sentience, the procedure of human conceives, the state of Idea Database and some recent results of SSC, are given also.

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