scholarly journals Visualization, Search and Analysis of Hierarchical Translation Equivalence in Machine Translation Data

2014 ◽  
Vol 101 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Gideon Maillette de Buy Wenniger ◽  
Khalil Sima’an
Keyword(s):  
Machine Translation ◽  
Equivalence Relations ◽  
Qualitative And Quantitative Analysis ◽  
Complete Representation ◽  
Qualitative And Quantitative ◽  
Hierarchical Relations ◽  
Word Alignments ◽  
Detailed Statistical Analysis ◽  
Translation Systems ◽  
Search Capability

Abstract Translation equivalence constitutes the basis of all Machine Translation systems including the recent hierarchical and syntax-based systems. For hierarchical MT research it is important to have a tool that supports the qualitative and quantitative analysis of hierarchical translation equivalence relations extracted from word alignments in data. In this paper we present such a toolkit and exemplify some of its uses. The main challenges taken up in designing this tool are the efficient and compact, yet complete, representation of hierarchical translation equivalence coupled with an intuitive visualization of these hierarchical relations. We exploit a new hierarchical representation, called Hierarchical Alignment Trees (HATs), which is based on an extension of the algorithms used for factorizing n-ary branching SCFG rules into their minimally-branching equivalents. Our toolkit further provides a search capability based on hierarchically relevant properties of word alignments and/or translation equivalence relations. Finally, the tool allows detailed statistical analysis of word alignments, thereby providing a breakdown of alignment statistics according to the complexity of translation equivalence units or reordering phenomena. We illustrate this with an empirical study of the coverage of inversion-transduction grammars for a number of corpora enriched with manual or automatic word alignments, followed by a breakdown of corpus statistics to reordering complexity.

scholarly journals Unsupervised Sub-tree Alignment for Tree-to-Tree Translation

2013 ◽  
Vol 48 ◽  
pp. 733-782 ◽  
Author(s):  
T. Xiao ◽  
J. Zhu
Keyword(s):  
Machine Translation ◽  
State Of The Art ◽  
Experimental Results ◽  
Alignment Accuracy ◽  
Syntactic Structures ◽  
Tree Alignment ◽  
Matrix Encoding ◽  
Word Alignments ◽  
Alignment Model ◽  
Translation Systems

This article presents a probabilistic sub-tree alignment model and its application to tree-to-tree machine translation. Unlike previous work, we do not resort to surface heuristics or expensive annotated data, but instead derive an unsupervised model to infer the syntactic correspondence between two languages. More importantly, the developed model is syntactically-motivated and does not rely on word alignments. As a by-product, our model outputs a sub-tree alignment matrix encoding a large number of diverse alignments between syntactic structures, from which machine translation systems can efficiently extract translation rules that are often filtered out due to the errors in 1-best alignment. Experimental results show that the proposed approach outperforms three state-of-the-art baseline approaches in both alignment accuracy and grammar quality. When applied to machine translation, our approach yields a +1.0 BLEU improvement and a -0.9 TER reduction on the NIST machine translation evaluation corpora. With tree binarization and fuzzy decoding, it even outperforms a state-of-the-art hierarchical phrase-based system.

Designing a business unit and creating the first ever responsive kitchen

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Paolo FESTA ◽  
Tommaso CORA ◽  
Lucilla FAZIO
Keyword(s):  
Value Creation ◽  
Product Innovation ◽  
Research Laboratory ◽  
Direct Relationship ◽  
Multidisciplinary Approach ◽  
Design Thinking ◽  
Business Unit ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
The Relationship

Is it possible to transform stone into a technological and innovative device? The meeting with one of the main stone transformers in Europe produced the intention of a disruptive operation that could affect the strategy of the whole company. A contagious singularity. By intertwining LEAN methodologies and the human-centric approach of design thinking, we mapped the value creation in the company activating a dialogue with the workers and the management, listening to people, asking for ambitions, discovering problems and the potential of production. This qualitative and quantitative analysis conducted with a multidisciplinary approach by designers, architects and marketing strategists allowed us to define a new method. We used it to design a platform that could let all the players express their potential to the maximum. This is how the group's research laboratory was born, with the aim of promoting the relationship between humans and stone through product innovation. With this goal, we coordinated the new team, developing technologies that would allow creating a more direct relationship between man and surface, making the stone reactive. The result was the first responsive kitchen ever.

ANALISIS FAKTOR TINGKAT PENDIDIKAN DAN KOMPETENSI SUMBER DAYA MANUSIA TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA PT. TRAKTOR NUSANTARA CABANG LAMPUNG

2017 ◽  
Vol 2 (1) ◽  
pp. 46-63
Author(s):  
Raditee Sanusi Husin
Keyword(s):  
Work Productivity ◽  
Positive Influence ◽  
Education Level ◽  
Observation Data ◽  
Employee Productivity ◽  
Qualitative And Quantitative Analysis ◽  
Employee Education ◽  
Level Of Education ◽  
Qualitative And Quantitative ◽  
Level Variable

Achievement of company goals, PT. Traktor Nusantara often faces problems, where from within and from outside the company. One of the problems that comes from within the company in relation to human resources is the level of work productivity of employees who are still far from expectation. This is allegedly caused by the level of employee education that has not been in accordance with the function of office, in addition to the competence of employees who have not been in accordance with the field of work. This study aims to determine the influence of education level and competence on employee productivity. The sample used is 22 employees. Data collection techniques with questionnaires, documentation and observation. Data analysis with qualitative and quantitative analysis methods with the help of statistical tools SPSS application for linear regression model calculation. The results showed that the level of education has a positive influence on the productivity of employees of PT. Traktor Nusantara. The amount of influence of education level variable to productivity based on test of determination is equal to 38,1%. Competence influence on work productivity of employees of PT. Traktor Nusantara with contribution of 19.1%. The level of education and competence together have a positive influence and able to explain 38.2% of the changes in work productivity, while the remaining 4.7% sebesat is another variable outside the study.

MEMIKAT HATI WAJIB PAJAK SEHINGGA MEMILIKI WILLINGNESS TO COMPLY MELALUI PENYULUHAN PAJAK BERDASARKAN FOGG BEHAVIORAL MODEL

INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Statistical Data ◽  
Tax Compliance ◽  
Behavioral Model ◽  
Control Group ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Quasi Experimental ◽  
Experimental Process

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 

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