scholarly journals An Improved Statistical Machine Translation Method for United Chinese-Japanese Word Segmentation

2016 ◽  
Author(s):  
Xiaowei Wang ◽  
Jinke Wang
Keyword(s):  
Machine Translation ◽  
Statistical Machine Translation ◽  
Word Segmentation ◽  
Translation Method ◽  
Japanese Word

The Critical Technology Development Status of Machine Translation

2013 ◽  
Vol 791-793 ◽  
pp. 1622-1625
Author(s):  
Dan Han ◽  
Zhi Han Yu
Keyword(s):  
Machine Translation ◽  
Technology Development ◽  
Statistical Machine Translation ◽  
Word Segmentation ◽  
Translation System ◽  
Chinese Word ◽  
Segmentation Method ◽  
Chinese Word Segmentation ◽  
Critical Technology ◽  
Translation Machine

In this article, we mainly introduce some basic concepts about machine translation. Machine translation means translating a natural language text to another by software. It can be divided into two categories: rule-based and corpus-based. IBM's statistical machine translation, Microsoft's multi-language machine translation project, AT & T's voice translation system and CMUs PANGLOSS system are three typical machine translation systems. Due to sentences are constructed by words continuously in Chinese. Chinese word segmentation is very essential. Three methods of Chinese word segmentation: segmentation methods based on string matching, segmentation method based on the understanding and segmentation method based on the statistics.

scholarly journals Parallel Treebanking Spanish-Quechua

2012 ◽  
Vol 7 ◽  
Author(s):  
Annette Rios ◽  
Anne Göhring ◽  
Martin Volk
Keyword(s):  
Machine Translation ◽  
Statistical Machine Translation ◽  
Word Segmentation ◽  
Word Alignment ◽  
Alignment Quality ◽  
Important Prerequisite ◽  
Bilingual Lexicon ◽  
Preliminary Work ◽  
First Impression ◽  
Agglutinative Language

Parallel treebanking is greatly facilitated by automatic word alignment. We work on building a trilingual treebank for German, Spanish and Quechua. We ran different alignment experiments on parallel Spanish-Quechua texts, measured the alignment quality, and compared these results to the figures we obtained aligning a comparable corpus of Spanish-German texts. This preliminary work has shown us the best word segmentation to use for the agglutinative language Quechua with respect to alignment. We also acquired a first impression about how well Quechua can be aligned to Spanish, an important prerequisite for bilingual lexicon extraction, parallel treebanking or statistical machine translation.

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