Current research issues and trends in non-English Web searching

Lazarinis, Fotis; Vilares, Jesús; Tait, John; Efthimiadis, Efthimis N.

doi:10.1007/s10791-009-9093-0

Cited by 21 publications

(14 citation statements)

References 97 publications

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“…There is also a trend towards carrying out more international and country-specific studies -see Lazarinis, Vilares, Tait, & Efthimiadis (2009) for an overview.…”

Section: Tests On Different Query Typesmentioning

confidence: 99%

Evaluating the retrieval effectiveness of web search engines using a representative query sample

Lewandowski

2015

Asso for Info Science & Tech

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Search engine retrieval effectiveness studies are usually small-scale, using only limited query samples. Furthermore, queries are selected by the researchers. We address these issues by taking a random representative sample of 1,000 informational and 1,000 navigational queries from a major German search engine and comparing Google's and Bing's results based on this sample. Jurors were found through crowdsourcing, data was collected using specialised software, the Relevance Assessment Tool (RAT). We found that while Google outperforms Bing in both query types, the difference in the performance for informational queries was rather low. However, for navigational queries, Google found the correct answer in 95.3% of cases whereas Bing only found the correct answer 76.6% of the time. We conclude that search engine performance on navigational queries is of great importance, as users in this case can clearly identify queries that have returned correct results. So, performance on this query type may contribute to explaining user satisfaction with search engines.

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“…There is also a trend towards carrying out more international and country-specific studies -see Lazarinis, Vilares, Tait, & Efthimiadis (2009) for an overview.…”

Section: Tests On Different Query Typesmentioning

confidence: 99%

Evaluating the retrieval effectiveness of web search engines using a representative query sample

Lewandowski

2015

Asso for Info Science & Tech

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“…Although stopword lists have been built for many languages [Lazarinis et al 2009], so far no list has been reported for Kurdish . We used Pewan's text corpus to build a list of Kurdish stopwords.…”

Section: Stopwords Listmentioning

confidence: 99%

“…With increasingly higher numbers of non-English language Web searchers, the problems of efficient handling of non-English documents and user queries are becoming major issues for search engines [Lazarinis et al 2009]. To tackle these issues, a range of workshops and forums have been launched over the last decade.…”

Section: Introductionmentioning

confidence: 99%

Towards Kurdish Information Retrieval

Esmaili

Salavati

Datta

2014

ACM Transactions on Asian Language Information Processing

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The Kurdish language is an Indo-European language spoken in Kurdistan, a large geographical region in the Middle East. Despite having a large number of speakers, Kurdish is among the less-resourced languages and has not seen much attention from the IR and NLP research communities. This article reports on the outcomes of a project aimed at providing essential resources for processing Kurdish texts.A principal output of this project is Pewan, the first standard Test Collection to evaluate Kurdish Information Retrieval systems. The other language resources that we have built include a lightweight stemmer and a list of stopwords.Our second principal contribution is using these newly-built resources to conduct a thorough experimental study on Kurdish documents. Our experimental results show that normalization, and to a lesser extent, stemming, can greatly improve the performance of Kurdish IR systems.

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“…Despite the fact that recent figures suggest that only slightly over a quarter of all Internet users are English native speakers [21], relatively little research effort is put into improving the quality of non-English web search [15]. Research has found that, despite the increasing number of users who speak English as a second language (ESL), or do not speak English at all, the extent and quality of content in other languages often does not meet the needs of said users [3].…”

Section: Introductionmentioning

confidence: 99%

“…Research has found that, despite the increasing number of users who speak English as a second language (ESL), or do not speak English at all, the extent and quality of content in other languages often does not meet the needs of said users [3]. In addition to this, even when there is sufficient content available, there are a considerable number of mostly unresolved complexities and issues of monolingual search in non-English languages [15,22].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Native and Non-native Information Seeking Behaviours

Brazier

Harvey

2018

Lecture Notes in Computer Science

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The proliferation of web-based technologies has led most national governments to begin transitioning to a so called "e-service," where provision is made through purely digital means. Despite their obvious benefits for most users, these on-line systems present barriers of access to certain groups in society. In this study we consider the information behaviour of non-native and native English speaking participants as they conduct search tasks designed to reflect actual information seeking situations in a UK governmental context. Results show that the non-natives rely more on query assistance, delve deeper into the Search Engine Results Page (SERP) and obtain better performance the longer they read documents. This was not the case for the natives, despite spending the most time reading documents. There are some similarities in their information seeking behaviours as both groups submit similar length queries, and are equally proficient in identifying when a failed query did not meet their information need. This proficiency was not reflected in their performance in some tasks, with both groups unable to consistently predict when they had not performed well. The results of this work have potentially profound repercussions for how e-government services are provided and how users are assisted in their use of these.

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Current research issues and trends in non-English Web searching

Cited by 21 publications

References 97 publications

Evaluating the retrieval effectiveness of web search engines using a representative query sample

Evaluating the retrieval effectiveness of web search engines using a representative query sample

Towards Kurdish Information Retrieval

A Comparative Study of Native and Non-native Information Seeking Behaviours

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