Information access across languages on the web: From search engines to digital libraries

Chen, Jiangping; Bao, Yu

doi:10.1002/meet.2009.1450460278

Cited by 14 publications

(21 citation statements)

References 9 publications

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“…On the negative side however, machine translation has been known to produce poorer results when used to translate text from a European to a non-European language (Kit and Wong, 2008) -though Russian is considered a European language in this case. Moreover, it is much better at translating short sentences than long paragraphs of texts (Chen and Bao, 2009). Fortunately, the thread titles we translated through the Google Service were only a few words long, reducing the chances of losing their true meaning.…”

Section: Datamentioning

confidence: 98%

Criminals and signals: An assessment of criminal performance in the carding underworld

Décary‐Hétu

Leppänen

2013

Secur J

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Criminals have taken advantage of the Internet's features to create worldwide marketplaces where illegal goods and services can be instantly bought and sold anonymously. This article focuses on an online forum that served as a transactional platform for criminals involved in the illicit trade of credit and banking information. Using Gambetta's adaptation of the signalling theory, this research develops a predictive model identifying the signs and signals that can enhance a criminal's performance in this criminal community. Our findings indicate that criminal performance is not distributed randomly. Individuals that are the most skilled at sending and decoding signals can expect to gain higher rewards.

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Section: Datamentioning

confidence: 98%

Criminals and signals: An assessment of criminal performance in the carding underworld

Décary‐Hétu

Leppänen

2013

Secur J

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“…The launch of the cross-language search interfaces by Yahoo and Google signified the transition from CLIR research to practice. These services were welcomed by Web users because they provided access to information written in foreign languages (Chen and Bao, 2009a). However, CLIR and MT technologies and services, such as those provided by Google and others, have not been applied to enable searching of specific digital collections in the United States.…”

Section: Related Researchmentioning

confidence: 99%

A preliminary evaluation of metadata records machine translation

Chen

Ding²,

Jiang³

et al. 2012

The Electronic Library

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Purpose of this paperThe purpose of this study is to evaluate freely available machine translation (MT) services' performance in translating metadata records. Design/methodology/approachRandomly selected metadata records were translated from English into Chinese using Google, Bing, and SYSTRAN Machine Translation (MT) systems. These translations were then evaluated using a five point scale for both Fluency and Adequacy. Missing Count (words not translated) and Incorrect Count (words incorrectly translated) were also recorded. FindingsConcerning both Fluency and Adequacy, Google and Bing's translations of more than 70% of test data received scores equal to or greater than three, representative of 'non-native Chinese' and 'much coverage,' respectively. SYSTRAN scored lowest in both measures. However, these differences were not statistically significant. A Pearson correlation analysis demonstrated a strong relationship (r= .86) between Fluency and Adequacy. Missing Count and Incorrect Count strongly correlated with Fluency and Adequacy. Research limitations/implicationsThis study was conducted in a specific domain with a small sample size. It is necessary to conduct the evaluation with a larger, more representative test dataset. Also, other language pairs should be evaluated applying similar technologies. Originality/valueMost existing digital collections can be accessed in English alone. Few digital collections in the United States support multilingual information access (MLIA) that enables users of differing languages to search, browse, recognize and use information in the collections. Human translation is one solution, but it is neither time nor cost effective for most libraries. This study serves as a first step to understand the 2 performance of current MT systems and to design effective and efficient MLIA services for digital collections.

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“…For search engine optimization reasons, some projects use different domains for different countries and languages. An example of this concept would be: 1) www.universities.com -international visitors, language EN-1033 2)…”

Section: Search Engine Optimization Content and Urlsmentioning

confidence: 99%

Developing a framework for websites with international audience

Reşceanu

Resceanu

Simionescu

2013

2013 17th International Conference on System Theory, Control and Computing (ICSTCC)

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This paper was written to describe a way to display multi-lingual information on websites, while optimizing for readability, speed and content distribution. Over the last decade, the authors have noticed that most users with limited understanding of the English language encountered major difficulties in using many Internet services. Also many of the official government and local administration websites display content only in the native language, effectively raising a barrier for many foreign investors. This document also presents an analysis on adapting and distributing content optimized for age groups and local cultures, while describing techniques on server and domain spanning, SQL data distribution and methods of obtaining high quality translations for user generated content.

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Information access across languages on the web: From search engines to digital libraries

Cited by 14 publications

References 9 publications

Criminals and signals: An assessment of criminal performance in the carding underworld

Criminals and signals: An assessment of criminal performance in the carding underworld

A preliminary evaluation of metadata records machine translation

Developing a framework for websites with international audience

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