Results 21 to 30 of about 521,807 (336)
Syntax-Based Statistical Machine Translation [PDF]
Computational Linguistics, 2017 Christian Hadiwinoto
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Initial explorations in English to Turkish statistical machine translation [PDF]
, 2006 This paper presents some very preliminary results for and problems in developing a statistical machine translation system from English to Turkish. Starting with a baseline word model trained from about 20K aligned sentences, we explore various ways of ...
İlknur Durgar El-Kahlout, Kemal Oflazer
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho +6 more
semanticscholar +1 more source
Machine Translation Systems Based on Classical-Statistical-Deep-Learning Approaches
Electronics, 2023 Over recent years, machine translation has achieved astounding accomplishments. Machine translation has become more evident with the need to understand the information available on the internet in different languages and due to the up-scaled exchange in ...
Sonali Sharma +5 more
semanticscholar +1 more source
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches [PDF]
SSST@EMNLP, 2014 Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The neural machine translation models often consist of an encoder and a decoder.
Kyunghyun Cho +3 more
semanticscholar +1 more source
A SomAgent statistical machine translation [PDF]
Applied Soft Computing, 2011 The paper describes the process by which the word alignment task performed within SOMAgent works in collaboration with the statistical machine translation system in order to learn a phrase translation table. We studied improvements in the quality of translation using syntax augmented machine translation.
L?pez Batista, Vivian F?lix +4 more
openaire +3 more sources
Translation Mechanism of Neural Machine Algorithm for Online English Resources
Complexity, 2021 At the level of English resource vocabulary, due to the lack of vocabulary alignment structure, the translation of neural machine translation has the problem of unfaithfulness.
Yanping Ye
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A Survey on Evaluation Metrics for Machine Translation
Mathematics, 2023 The success of Transformer architecture has seen increased interest in machine translation (MT). The translation quality of neural network-based MT transcends that of translations derived using statistical methods. This growth in MT research has entailed
Seungjun Lee +7 more
semanticscholar +1 more source
Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
E3S Web of Conferences, 2021 We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya +3 more
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İstanbul Üniversitesi Çeviribilim Dergisi, 2022 Corpus-based machine translation (MT) has been the main approach to developing and implementing MT systems in both academia and the industry over the last three decades.
Gökhan Doğru
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