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Building Structured Query in Target Language for Vietnamese – English Cross Language Information Retrieval Systems

Lam Tung Giang, Vo Trung Hung, Huynh Cong Phap
2015 International Journal of Engineering Research and  
Results for Vietnamese-English cross-lingual retrieval show improvements of building structured query over other methods using dictionary to produce query translation in target language by combining single  ...  Query translation is the most important component in Cross Language Information Retrieval systems using dictionary-based approach.  ...  INTRODUCTION With the growing amount of web documents available in different languages, Cross-language Information Retrieval (CLIR), a subfield of Information Retrieval, becomes increasingly important  ... 
doi:10.17577/ijertv4is040317 fatcat:q7ut2zpt2bdpffqgti5iqhjzvq

Building Proximity Models for Cross Language Information Retrieval

Lam Tung Giang, Vo Trung Hung, Huynh Cong Phap
2015 Journal of Science and Technology Issue on Information and Communications Technology  
In this article, we study the integration of proximity models into cross-language information retrieval systems.  ...  The new proximity models are proposed and incorporated into existing cross-language information systems by combining the proximity score and the original score to re-rank retrieved documents.  ...  In this paper, we defin proximity measures, which can be applied in cross-language information retrieval systems and incorporate them into existing ranking functions.  ... 
doi:10.31130/jst.2015.5 fatcat:2clysm73znauri5l2yh5o57quy

Cross-Language Information Retrieval: the way ahead

Fredric C. Gey, Noriko Kando, Carol Peters
2005 Information Processing & Management  
This introductory paper covers not only the research content of the articles in this special issue of IP&M but attempts to characterize the state-of-the-art in the Cross-Language Information Retrieval  ...  The paper concludes by describing an ambitious five-year research plan proposed by James Mayfield and Paul McNamee.  ...  and cross-language information retrieval.  ... 
doi:10.1016/j.ipm.2004.06.006 fatcat:xy2zdmzd2ffy5op7wxlrd4avkq

Cross-language Information Retrieval [article]

Petra Galuščáková, Douglas W. Oard, Suraj Nair
2021 arXiv   pre-print
This chapter reviews the state of the art for cross-language information retrieval and outlines some open research questions.  ...  When the documents to be searched are in a language not known by the searcher, neither assumption is true. In such cases, Cross-Language Information Retrieval (CLIR) is needed.  ...  not referred to as "cross-lingual" information retrieval.  ... 
arXiv:2111.05988v1 fatcat:fgnaux4lcbe5jlpczhbxka5cqq

Cross-lingual Retrieval for Iterative Self-Supervised Training [article]

Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu
2020 arXiv   pre-print
Recent studies have demonstrated the cross-lingual alignment ability of multilingual pretrained language models.  ...  Using this method, we achieved state-of-the-art unsupervised machine translation results on 9 language directions with an average improvement of 2.4 BLEU, and on the Tatoeba sentence retrieval task in  ...  Case Study To understand the language agnosticity of the mBART sentence representations, we study sentence retrieval tasks.  ... 
arXiv:2006.09526v2 fatcat:abklxi4sorfqdm357ofz2kjlnq

Phonetic name matching for cross-lingual Spoken Sentence Retrieval

Heng Ji, Ralph Grishman, Wen Wang
2008 2008 IEEE Spoken Language Technology Workshop  
Cross-lingual Spoken Sentence Retrieval (CLSSR) remains a challenge, especially for queries including OOV words such as person names.  ...  Experiments on Mandarin-English CLSSR show that phone-based searching and conventional translation-based searching are complementary.  ...  TASK AND DATA The task we are addressing is Cross-lingual Sentence Retrieval: given a person name query in English the system should retrieve the sentences containing this name from Mandarin speech. *  ... 
doi:10.1109/slt.2008.4777895 dblp:conf/slt/JiGW08 fatcat:uzvykvc645bthcf2v5cn634pui

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval [article]

Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi
2021 arXiv   pre-print
Our analyses show the significance of cross-lingual retrieval and generation in many languages, particularly under low-resource settings.  ...  We present Cross-lingual Open-Retrieval Answer Generation (CORA), the first unified many-to-many question answering (QA) model that can answer questions across many languages, even for ones without language-specific  ...  This type of error happens especially when retrieved passages are in languages other than the target and English. Human evaluation on cross-lingual retrieval results.  ... 
arXiv:2107.11976v2 fatcat:fhlc373mpfc3bcthq7g72vssem

Reducing Overclaiming in Needs Assessment Studies an Experimental Comparison

Robert J. Calsyn, William L. Kelemen, E. Terrence Jones, Joel P. Winter
2001 Evaluation review  
However, providing respondents a memory retrieval strategy had no effect on agency awareness overclaiming.  ...  The coefficients representing cross-level interactions between experimental condition and individual risk are shown in Table 3 .  ...  One way to distinguish true versus false memories (e.g., real versus imagined events) is to focus on sensory and contextual information during retrieval.  ... 
doi:10.1177/0193841x0102500601 pmid:11729696 fatcat:cjedwmsspfgnnd7qlv5umheba4

X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models [article]

Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
2020 arXiv   pre-print
However, while knowledge is both written and queried in many languages, studies on LMs' factual representation ability have almost invariably been performed on English.  ...  To assess factual knowledge retrieval in LMs in different languages, we create a multilingual benchmark of cloze-style probes for 23 typologically diverse languages.  ...  cross-lingual learning.  ... 
arXiv:2010.06189v3 fatcat:tkwqm6hfvjby7dctlmffg4faqa

A lexical knowledge base approach for English–Chinese cross-language information retrieval

Jiangping Chen
2005 Journal of the American Society for Information Science and Technology  
This study proposes and explores a natural language processing-(NLP) based strategy to address out-ofdictionary and vocabulary mismatch problems in query translation based English-Chinese Cross-Language  ...  Information Retrieval (EC-CLIR).  ...  Liddy, Barbara Kwasnik, Jian Qin, Kui-Lam Kwok, and Anne Diekema for their valuable advice and statistical assistance on this study.  ... 
doi:10.1002/asi.20273 fatcat:wwq45zcm2re47hffarfw6bcooy

A Subject-Oriented Ontology Development for Information Retrieval Application

Ta Cong Duy Chien, Phan Thi Tuoi, Nguyen Chanh Thanh
2015 Research and Development on Information and Communication Technology  
The paper proposes an approach to develop an SOO based on corpus of scientific papers by building subject trees and semantic relationships among them.  ...  Recently, ontology-based application is an important approach of some researches in several fields of Computer Science.  ...  Q&A and Information Retrieval system with supporting Vietnamese language for Digital Library" of HCMC National University.  ... 
doi:10.32913/mic-ict-research.v3.n12.312 fatcat:2jp2nx6qpzedxommbzab3tsm7e

Tip-of-the-tongue (TOT) states: retrieval, behavior, and experience

Bennett L. Schwartz, Janet Metcalfe
2011 Memory & Cognition  
TOTs have been studied experimentally since the seminal work of Brown and McNeill (1966) .  ...  The tip-of-the-tongue state (TOT) is the feeling that accompanies temporary inaccessibility of an item that a person is trying to retrieve.  ...  Many of these languages are unrelated to Indo-European languages (e.g., Cheyenne, Hausa, Vietnamese) but use the same metaphor.  ... 
doi:10.3758/s13421-010-0066-8 pmid:21264637 fatcat:3msmnmyxk5cuhhp3t6tyshgzhy

Cross-language Phonetic Similarity Measure on Terms Appeared in Asian Languages

Ohnmar Htun, Shigeaki Kodama, Yoshiki Mikami
2011 International Journal of Intelligent Information Processing  
The results reported here prove that the proposed method has the potential to be applied to cross-language information retrieval and various linguistic studies.  ...  To evaluate the proposed algorithm, this study involves an experiment using ninety-two chemical element names in nine different languages.  ...  However, the information retrieval techniques of many search engines (except Google) still lack support for cross-language information retrieval (CLIR) [1] .  ... 
doi:10.4156/ijiip.vol2.issue2.2 fatcat:323ofon6onddtbpbw5emioifry

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
One of the key issues of all deployment optimization algorithms is accurate estimation of the coverage of an individual sensor.  ...  An individual sensor covers only a limited area, which depends on its sensing capacity, range of communication as well as the environment's complexity.  ...  Acknowledgements Trajectories were provided by the Japan Road Traffic Information Center. This study was supported by JSPS KAKENHI (grants 24241053 and 25249069).  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

Duplicate Identification Algorithms in SaaS Platforms

Dac Nguyen, Quy H. Nguyen, Minh-Son Dao, Duc-Tien Dang-Nguyen, Cathal Gurrin, Binh T. Nguyen
2020 Proceedings of the 2020 Intelligent on Intelligent Cross-Data Analysis and Retrieval Workshop  
In this paper, we study the duplicate identification problem in one specific SaaS platform related to quality and compliance management by using the address information.  ...  The experimental results show that using Siamese Neural Networks can achieve a better performance in comparison with other techniques.  ...  We aim at studying the duplicate identification problem by using the address information based on this dataset.  ... 
doi:10.1145/3379174.3392319 fatcat:gbvt4urt3nft5mb3xqgxowdf2q
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