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machine translation technique

Bodo to English Machine Translation through Transliteration

Bodo to English Machine Translation through Transliteration

... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) ...

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A Framework of Translator From English Speech To Sanskrit Text

A Framework of Translator From English Speech To Sanskrit Text

... based machine translation technique [1]. Rule Based Machine Translation provides high quality translation and requires in depth knowledge of the language apart from real world ...

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Evaluation of machine translation systems and related procedures

Evaluation of machine translation systems and related procedures

... language translation is becoming more and more ...intelligence, machine translation (MT) is an approach related to natural language ...The machine translation technique involves ...

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Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model

Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model

... In our experiments we used an in-house phrase- based statistical machine translation decoder called CleopATRa. This decoder operates on exactly the same principles as the publicly available MOSES decoder ...

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Problem Analysis of Machine Translation for Scientific Texts of Petroleum

Problem Analysis of Machine Translation for Scientific Texts of Petroleum

... Before machine translation emerges, translation work was depended on human ...traditional translation features lower efficiency and higher ...use machine to do translation work, ...

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On Statistical Machine Translation and Translation Theory

On Statistical Machine Translation and Translation Theory

... Most current approaches to SMT are founded on word alignments in the spirit of Brown et al. (1990). These word alignments have no clear theoretical status, but they can be seen as an embodiment of a fairly traditional ...

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MulCode: A Multiplicative Multi way Model for Compressing Neural Language Model

MulCode: A Multiplicative Multi way Model for Compressing Neural Language Model

... Neural machine translation (NMT: DE- EN) is a Seq2seq model initialized using Pytorch checkpoints provided by Open-NMT (Klein et ...glish translation tasks on IWSLT-14 (Cettolo et ...

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Pre Translation for Neural Machine Translation

Pre Translation for Neural Machine Translation

... We can see in the figure, that when N = 100K , where only the common words are used, we perform best using the NMT system. The PreMT system performs similar and the PBMT system performs clearly worse. If we now decrease ...

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A survey of intrusion detection technique using various technique of machine learning

A survey of intrusion detection technique using various technique of machine learning

... The advancement of information communication network contributes to improvement of the quality of daily life of people, and now considered as fundamental social and economic infrastructure. However, the increase of ...

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User expectations towards machine translation: A case study

User expectations towards machine translation: A case study

... Of the final cohort of 47 respondents, 8 already worked as professional translators and 39 were novice translators. The majority (68%) of the respondents worked with German as A language, ahead of Italian (11%) and ...

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Cost Weighting for Neural Machine Translation Domain Adaptation

Cost Weighting for Neural Machine Translation Domain Adaptation

... adaptation technique for neural machine translation called cost weighting, which is appropriate for adaptation scenarios in which a small in-domain data set and a large general-domain data set are ...

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Multilingual Machine Translation approach based Systems and their Analysis : An Indian Perspective Harjit Singh

Multilingual Machine Translation approach based Systems and their Analysis : An Indian Perspective Harjit Singh

... for translation of documents from one language to a different ...promising translation work began within the early Nineteen Nineties thanks to advanced analysis in computer science and Computational ...the ...

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Free indirect discourse: an insurmountable challenge for literary MT systems?

Free indirect discourse: an insurmountable challenge for literary MT systems?

... The problem with AI so far is that machine learning of narrative information requires considerable effort and has not been very successful. As Mani (2013, section 4) writes: “[In computational narratology] Story ...

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A Machine Learning Method to Distinguish Machine Translation from Human Translation

A Machine Learning Method to Distinguish Machine Translation from Human Translation

... statistical machine translation systems part, the performance is depended on the LM and trans- lation ...Network Translation Model- s (NNTMs) show a success in SMT (Kalchbrenner and Blunsom, 2013; ...

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A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output

A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output

... chine Translation (FSMT) scenario where the system takes two inputs: (1) text in the source language to be translated, and (2) a desired for- mality level capturing the intended audience of the ...

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Machine Translation: The Languages Network (versus the intermediate language )

Machine Translation: The Languages Network (versus the intermediate language )

... Machine Translation The Languages Network (versus the intermediate language ) Machine Translation The Languages Network (versus the intermediate language ) P C ROLF Dpt of Computational Linguistics Li[.] ...

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Residual Stacking of RNNs for Neural Machine Translation

Residual Stacking of RNNs for Neural Machine Translation

... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...based machine translation model ...

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Linguistically Augmented Bulgarian to English Statistical Machine Translation Model

Linguistically Augmented Bulgarian to English Statistical Machine Translation Model

... The results show that linguistic and seman- tic analyses definitely improve the quality of the translation. Exploiting the linguistic processing on word level — L EMMA , POS and L ING — pro- duces the best result. ...

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Design and Implementation of Consecutive Interpreting System Based on Transformer NMT Model

Design and Implementation of Consecutive Interpreting System Based on Transformer NMT Model

... traditional machine translation system with push-to-talk mode is not suitable for the processing of long-time oral ...the translation is based on the Transformer NMT model proposed by ...average ...

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Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)

Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)

... Human-Informed Translation and Interpreting Technology (HiT-IT 2019) took place in Varna, Bulgaria and spanned over two days (5-6 September 2019), as a post-RANLP 2019 conference ...

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