scholarly journals Plan Optimization to Bilingual Dictionary Induction for Low-resource Language Families

Author(s):  
Arbi Haza Nasution ◽  
Yohei Murakami ◽  
Toru Ishida

Creating bilingual dictionary is the first crucial step in enriching low-resource languages. Especially for the closely related ones, it has been shown that the constraint-based approach is useful for inducing bilingual lexicons from two bilingual dictionaries via the pivot language. However, if there are no available machine-readable dictionaries as input, we need to consider manual creation by bilingual native speakers. To reach a goal of comprehensively create multiple bilingual dictionaries, even if we already have several existing machine-readable bilingual dictionaries, it is still difficult to determine the execution order of the constraint-based approach to reducing the total cost. Plan optimization is crucial in composing the order of bilingual dictionaries creation with the consideration of the methods and their costs. We formalize the plan optimization for creating bilingual dictionaries by utilizing Markov Decision Process (MDP) with the goal to get a more accurate estimation of the most feasible optimal plan with the least total cost before fully implementing the constraint-based bilingual lexicon induction. We model a prior beta distribution of bilingual lexicon induction precision with language similarity and polysemy of the topology as and parameters. It is further used to model cost function and state transition probability. We estimated the cost of all investment plans as a baseline for evaluating the proposed MDP-based approach with total cost as an evaluation metric. After utilizing the posterior beta distribution in the first batch of experiments to construct the prior beta distribution in the second batch of experiments, the result shows 61.5% of cost reduction compared to the estimated all investment plans and 39.4% of cost reduction compared to the estimated MDP optimal plan. The MDP-based proposal outperformed the baseline on the total cost.

2012 ◽  
Vol 43 ◽  
pp. 135-171 ◽  
Author(s):  
T. Flati ◽  
R. Navigli

Bilingual machine-readable dictionaries are knowledge resources useful in many automatic tasks. However, compared to monolingual computational lexicons like WordNet, bilingual dictionaries typically provide a lower amount of structured information, such as lexical and semantic relations, and often do not cover the entire range of possible translations for a word of interest. In this paper we present Cycles and Quasi-Cycles (CQC), a novel algorithm for the automated disambiguation of ambiguous translations in the lexical entries of a bilingual machine-readable dictionary. The dictionary is represented as a graph, and cyclic patterns are sought in the graph to assign an appropriate sense tag to each translation in a lexical entry. Further, we use the algorithm's output to improve the quality of the dictionary itself, by suggesting accurate solutions to structural problems such as misalignments, partial alignments and missing entries. Finally, we successfully apply CQC to the task of synonym extraction.


Author(s):  
Martina Nied Curcio

AbstractMisunderstandings between speakers of different languages occur not only on a linguistic level but also on a cultural one. Consultation of a bilingual dictionary does not necessarily help in this case, as information on the cultural level is often missing. In this paper we will discuss how bilingual dictionaries can draw attention to cultural divergences so that the dictionary user acquires cultural knowledge and is able to build an intercultural competence. Examples from four bilingual dictionaries (German-Italian) are given to illustrate how culture-bound words are represented. For this purpose, a classification of culture-bound words is offered. Finally, the prerequisites and possibilities of an appropriate representation of culture-bound items in bilingual dictionaries will be proposed.


2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Shaoli Wang ◽  
Yasir Mursalin ◽  
Gang Lin ◽  
Conghua Lin

This paper considers the problem of predicting a supply chain cost for prefabricated building construction under an uncertain situation. Based on the Activity-Based Costing (ABC) method, we establish a computational model to estimate the total cost of the prefabricated supply chain. The model can assist in not only finding the critical areas for cost reduction of the whole supply chain but also analyzing other costs of prefabricated construction projects. Furthermore, we provide a numerical example of prefabricated building construction to validate the results.


2016 ◽  
Vol 22 (4) ◽  
pp. 517-548 ◽  
Author(s):  
ANN IRVINE ◽  
CHRIS CALLISON-BURCH

AbstractWe use bilingual lexicon induction techniques, which learn translations from monolingual texts in two languages, to build an end-to-end statistical machine translation (SMT) system without the use of any bilingual sentence-aligned parallel corpora. We present detailed analysis of the accuracy of bilingual lexicon induction, and show how a discriminative model can be used to combine various signals of translation equivalence (like contextual similarity, temporal similarity, orthographic similarity and topic similarity). Our discriminative model produces higher accuracy translations than previous bilingual lexicon induction techniques. We reuse these signals of translation equivalence as features on a phrase-based SMT system. These monolingually estimated features enhance low resource SMT systems in addition to allowing end-to-end machine translation without parallel corpora.


2010 ◽  
Vol 3 (2) ◽  
pp. 104
Author(s):  
Umar Wiwi, Eti Kristinawati

Based on ultimate goal of each company in gaining maximum profit with minimum total cost then one of alternative should be done in achieving this goal is avoiding excessive raw material stock resulting in high storage cost. The object of this research is CV. Pabrik Mesin Guntur Malang,an industrial water pumpcompany which is having difficulty in controlling raw material stock so that it often experiences abundant stocks.So,the problem is how to make stock controli n order to reduce stocks a mount that will result in storage cost reduction. Production S ystem Just in Time applying Karban system, that has been being implemented this far by Toyota Motor Corporation, Japan, is proposed to be implemented in that company as well in order to reduce prevailing inefficiency result from this existing problem. By applying Kanban system as support for the Production System Just in Time, it is shown that the system is capable in reducing stocka mount by 77.56%f or GTR type water pump and 89.59% for GTO type water pump. While reductions of storage cost achieved are78.99% for GTR type water pump and 90.45% for GTO tlpe water pump


2021 ◽  
Vol 9 (2) ◽  
pp. 343-350 ◽  
Author(s):  
Tetyana Skrypko ◽  
Nazariy Popadynets ◽  
Tetiana Yakhno ◽  
Roman Shulla ◽  
Tetiana Vlasenko ◽  
...  

The paper shows the results of an empirical study on the optimization of polymer waste supply chains based on the circular economy in Ukraine. The research shows that the main links in the activity should be harmonized for quality and quick optimization of polymer waste supply chains, including the processes of collecting, sorting, treatment, processing, and recycling of resources for maintaining the quality by total cost reduction. The research argues that the circular economy that stipulates the easy processing, recycling, disassembling, and restoring of products replaced the traditional linear model “take, produce, and throw out” that has dominated the economy by now. The study shows that the transformation of supply chains in production ecosystems forms competitive advantages at the enterprises that allow them to be more productive through efficient use of resources.


2019 ◽  
Vol 19 (4) ◽  
pp. 99-107
Author(s):  
Larisa Alimpieva ◽  

In the process of communicative act Russian particles concurrently fulfil different functions. It makes Russian particles an important unit of functional-pragmatic sphere of the Russian language which is characterized by its national specifics and connotativity. The problem of codification of Russian particles in bilingual lexicography is complicated. The main problem at compiling a dictionary lemma is filiation (division of meanings) of Russian particles and their rendering by lexical means of a foreign language. The existing lexicographic descriptions of Russian particles in bilingual dictionaries irrelevantly reflect the structure and contents of their meanings. The aim of the article is to consider some theoretical problems of description of Russian particles by means of a second (target) language in dictionary lemmas of bilingual dictionaries.


Author(s):  
Amy Lujan

In recent years, the possibility of panels replacing wafers in some fan-out applications has been a topic of interest. Questions of cost and yield continue to arise even as the industry appears to be full steam ahead. While large panels allow for more packages to be produced at once, the cost does not scale simply based on how many more packages can be generated from a panel over a wafer. This analysis begins by breaking down the types of cost and will discuss how those types of cost are impacted (or not) by the shift from wafer to panel. Activity based cost modeling is used; this is a detailed, bottom-up approach that takes into account each type of cost for each activity in a process flow. Two complete cost models were constructed for this analysis. A variety of package sizes are analyzed, and multiple panel sizes are included as well. For each set of activities in the fan-out process flow, there is an explanation of how the process changes with the move to panel, including assumptions related to throughput, equipment price, and materials. The cost reduction that may be achieved at each package and panel size will be presented for each processing segment. The focus of this analysis is on the details of each segment of the process flow, but results for the total cost of various packages will also be presented. There is also a section of analysis related to the impact of yield on the competitiveness of panel processing.


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