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Development of a multilingual text mining approach for knowledge discovery in patents
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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These multilingual patent documents could then be mapped into the semantic vector space for evaluating their similarity by means of text clustering techniques. ...
In this paper we describe our work on developing a novel technique for discovery of implicit knowledge about patents from multilingual patent information sources. ...
among multilingual patent documents by means of text clustering techniques. ...
doi:10.1109/icsmc.2009.5345953
dblp:conf/smc/LeeYL09
fatcat:dabjuw7frveg7cm2s2tjkngaha
Towards Multilingual Information Discovery through a SOM based Text Mining approach
2000
Pacific Rim International Conference on Artificial Intelligence
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This paper describes our approach for concept discovery from multilingual text collections through a text mining technique. ...
The initial experiments show some interesting results and a couple of potential ways for future work towards the field of multilingual information discovery. ...
For multilingual information discovery, we take advantage of the fact that the SOM based text clustering method is independent of languages used in the contents of the texts. (2) . ...
dblp:conf/pricai/LeeY00
fatcat:akjgyjwqpzdexmfs7oiusmmj4a
A multilingual text mining approach to web cross-lingual text retrieval
2004
Knowledge-Based Systems
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Second, the multilingual concept -term relationships, in turn, are used to discover the conceptual content of the multilingual text, which is either a document containing potentially relevant information ...
To enable concept-based cross-lingual text retrieval (CLTR) using multilingual text mining, our approach will first discover the multilingual concept -term relationships from linguistically diverse textual ...
In terms of the functions they perform, CLTR facilitates multilingual information access while multilingual text mining enables knowledge discovery from multilingual texts. ...
doi:10.1016/j.knosys.2004.04.001
fatcat:xcvrtmnhkve67eauw6ohzjpky4
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
[article]
2019
arXiv
pre-print
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We translate the bilingual Mboshi-French parallel corpus (Godard et al. 2017) into four other languages, and we perform bilingual-rooted unsupervised word discovery. ...
In this paper we investigate language-related impact in automatic approaches for computational language documentation. ...
Table 1 shows some statistics for the produced Multilingual Mboshi parallel corpus. 2 Bilingual Unsupervised Word Segmentation/Discovery Approach: We use the bilingual neuralbased Unsupervised Word Segmentation ...
arXiv:1910.05154v1
fatcat:sdvmzcun5nejvkwxaz5daqjlw4
Unsupervised Spoken Term Discovery on Untranscribed Speech
[article]
2020
arXiv
pre-print
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Multilingual neural network with bottleneck layer is used for feature extraction. ...
It can be further divided into two parts: Acoustic segment modelling (ASM) and unsupervised pattern discovery. ...
Each session is treated as one document. ...
arXiv:2011.14060v1
fatcat:vqxrmzjq35codkddbza6fdd4a4
Breaking down language barriers through multilingual federated search
2011
Information Services and Use
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Lederman et al. / Breaking down language barriers through multilingual federated search ...
The WWS portal plays a leading role in bringing together the world's scientists to accelerate the discoveries needed to solve the planet's most pressing problems. ...
Introduction Discovery drives science. ...
doi:10.3233/isu-2010-0617
fatcat:rvvrpqcig5c2zbtinybnshhflu
Multilingual document mining and navigation using self-organizing maps
2011
Information Processing & Management
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In this work, we will propose an approach that could automatically arrange multilingual Web pages into a multilingual Web directory to break the language barriers in Web navigation. ...
Finally, a multilingual Web directory is constructed according to such associations. ...
Two related clusters are merged into single cluster in multilingual hierarchy. ...
doi:10.1016/j.ipm.2009.12.003
fatcat:lg26lu7menfkbl6qhsywpbpngy
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery
[article]
2017
arXiv
pre-print
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Acoustic unit discovery (AUD) is a process of automatically identifying a categorical acoustic unit inventory from speech and producing corresponding acoustic unit tokenizations. ...
representations can be significantly improved by (i) performing linear discriminant analysis (LDA) in an unsupervised self-trained fashion, and (ii) leveraging resources of other languages through building a multilingual ...
Table 1 . 1 AUD Performance evaluated by NMI, same-different task, document classification and clustering on Switchboard Acoustic Features
Average
Document Classification
Document Clustering
Dataset ...
arXiv:1702.01360v1
fatcat:3ydcq25fdvc2hpiimtepwfrheq
Editors' introduction special issue on multilingual knowledge management
2008
Decision Support Systems
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centers and intelligence agencies, the Dark Web project has generated one of the largest databases in the world about extremist/terrorist-generated Internet contents (web sites, forums, and multimedia documents ...
As a result, the target multilingual documents are indexed in the language-independent LSI space and monolingual document clustering technique can be utilized to cluster the target multilingual documents ...
Wei et al. develop a Latent Semantic Indexing (LSI)based multilingual document clustering technique. ...
doi:10.1016/j.dss.2007.07.002
fatcat:u3ph7x2vhndhfdyeaygoq7uyrq
Text Mining: Techniques, Applications and Issues
2016
International Journal of Advanced Computer Science and Applications
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The discovery of appropriate patterns and trends to analyze the text documents from massive volume of data is a big issue. ...
Text mining is a process of extracting interesting and nontrivial patterns from huge amount of text documents. ...
Clustering Clustering is an unsupervised process to classify the text documents in groups by applying different clustering algorithms. ...
doi:10.14569/ijacsa.2016.071153
fatcat:y7owr443uneqhj457ops34m3xa
Cross-language information retrieval using PARAFAC2
2007
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07
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As a result, when using multilingual LSA, documents will in practice cluster by language, not by topic. ...
From our results, we conclude that PARAFAC2 offers a very promising alternative to LSA not only for multilingual document clustering, but also for solving other problems in crosslanguage information retrieval ...
In line with our expectations, we found that this was particularly true for multilingual document clustering. ...
doi:10.1145/1281192.1281211
dblp:conf/kdd/ChewBKA07
fatcat:xzt7b4wwhrellfycr5vpzjspum
Extraction of Code-mixed Aspect Topics in Semantic Representation
2018
Journal of Computacion y Sistemas
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This results not only in retrieval of implicit aspects but also in clustering them together. ...
In this paper we propose knowledge based language independent code-mixed semantic LDA (lcms-LDA) model, with an aim to improve the coherence of clusters. ...
It should be noted that work in [1] only described the discovery of language independent aspects and did not include semantics for coherence improvement of aspect clusters. ...
doi:10.13053/cys-22-1-2771
fatcat:myj6nppbrzfhdj36qyokyo4o64
Role of Text Mining in Information Extraction and Information Management
ENGLISH
2005
DESIDOC Bulletin of Information Technology
ENGLISH
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The three stages of Knowledge Discovery in Data and Data Mining (KDD) process is given with the applications of text mining. ...
Applications of text mining vary from Information retrieval, bioinformatics, patent analysis, sorting gene expression, mining hospital records and multilingual approach to cross-lingual text retrieval ...
In terms of the functions they perform, CLTR facilitates multilingual information access while multilingual text mining enables knowledge discovery from multilingual texts. ...
doi:10.14429/dbit.25.4.3663
fatcat:qfzdgomajrdbnmjorplfaullfq
Multilingual Word Sense Induction to Improve Web Search Result Clustering
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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In [12] a novel approach to Web search result clustering based on Word Sense Induction, i.e. the automatic discovery of word senses from raw text was presented; key to the proposed approach is the idea ...
In this paper we give some preliminary ideas to exploit our multilingual Word Sense Induction method to Web search result clustering. ...
all the documents written in different languages. ...
doi:10.1145/2740908.2743009
dblp:conf/www/AlbanoBB15
fatcat:nzjce2w4dfggnei6honeptvkwy
Construction of supervised and unsupervised learning systems for multilingual text categorization
2009
Expert systems with applications
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This drives a convergence of numerous interests from diverse research communities focusing on the issues related to multilingual text categorization. ...
In this work, we implemented and measured the performance of the leading supervised and unsupervised approaches for multilingual text categorization. ...
The aim is to cluster the documents without additional knowledge or intervention such that documents within a cluster are similar than documents between clusters. ...
doi:10.1016/j.eswa.2007.12.052
fatcat:rwqnbwz2lra33o4nwvpge6peqi
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