scholarly journals A Translation Method of Expressions Containing the "Toritate" Words "mo, sae, demo" in Japanese-Chinese Machine Translation.

2002 ◽  
Vol 9 (5) ◽  
pp. 111-130
Author(s):  
ZHAOHUI BU ◽  
JUN XIE ◽  
TAKASHI IKEDA
Keyword(s):  
Machine Translation ◽  
Translation Method

scholarly journals Cross-Language Plagiarism Detection Based on CLAD Method

2019 ◽  
Vol 9 (2) ◽  
pp. 4903-4909
Keyword(s):  
Machine Translation ◽  
Detection Method ◽  
Translation Method ◽  
Plagiarism Detection ◽  
Working Process ◽  
Detection Process ◽  
Document Indexing ◽  
Cross Language ◽  
Multiple Languages ◽  
Analog Detector

This paper describes the cross-language plagiarism detection method CLAD (Cross-Language Analog Detector) between test document and indexed documents. The main difference of this method from existing versions is the detection of plagiarism among multiple languages not only two languages. While translating terms, it used the dictionary-based machine-translation method. CLAD’s working process consists of document indexing and detection process phases. In this paper, we will describe both of these phases.

scholarly journals A Chinese-Naxi Tree-to-Tree Machine Translation Method Based on Subtree Alignment

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Shengxiang Gao ◽  
Zhengtao Yu ◽  
Chao Liu ◽  
Lin Chen ◽  
Xudong Hong
Keyword(s):  
Em Algorithm ◽  
Machine Translation ◽  
Translation Method ◽  
Translation Model ◽  
Extraction Algorithm ◽  
Alignment Model ◽  
Translation Accuracy ◽  
Syntactic Differences ◽  
Tree Method

In allusion to the syntactic differences between Chinese and Naxi language, the thesis presents a tree-to-tree method of Chinese-Naxi machine translation based on subtree alignment. In this method, we define a subtree alignment model, providing its inference probability, and solve the alignment missing problem of Chinese-Naxi alignment by updating nodes (insert or delete). And then we train the subtree alignment model by EM algorithm, merging subtree alignment to the translation model. Finally we extract the template of Chinese-Naxi translation, adopting the extraction algorithm based on matrix, and implement the Chinese-Naxi machine translation. Result of the contrast experiment shows that, compared to the Chinese-Naxi machine translation method based on tree-to-tree translation, the translation accuracy increased after importing subtree alignment.

scholarly journals Substructure-based Neural Machine Translation for Retrosynthetic Prediction

2020 ◽  
Author(s):  
Umit Ucak ◽  
Taek Kang ◽  
Junsu Ko ◽  
Juyong Lee
Keyword(s):  
Machine Translation ◽  
Chemical Change ◽  
Molecular Structures ◽  
Translation Method ◽  
Neural Machine Translation ◽  
Reaction Prediction ◽  
Template Free

<p>This work presents a new template-free neural machine translation method for retrosynthetic reaction prediction by learning the chemical change at a substructural level. The proposed method effectively solves all the translation issues arising from SMILES-based representation of molecular structures.</p>

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