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MFCC Based Speech Retrieval

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper presents an approach for speech retrieval. The feature being used in this approach is MFCC.  ...  While in this paper, speech documents are directly compared with the speech query based on MFCC. Thus, reduced the overhead of conversion from speech to text  ...  LITERATURE SURVEY Speech retrieval system accepts user's query in the form of speech and returns a list of relevant documents. It is a content-based retrieval.  ... 
doi:10.35940/ijitee.i7550.078919 fatcat:mker26oodfbdrpdtkqzps2lgeq

A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search engines

Leyla Zhuhadar
2016 Figshare  
A synergisticapproach between thesaurus-based approach and corpus-based approach is proposed.  ...  First, a bilingualontology thesaurus is designed with respect to two languages: English and Spanish, where a simplebilingual listing of terms, phrases, concepts, and subconcepts is built.  ...  Bilingual retrieval: In this system, the query is written in one language and the system is capable of retrieving documents in another language.  ... 
doi:10.6084/m9.figshare.3423686.v1 fatcat:h7un4wlxyfg67avecgk7ub36qu

Information Retrieval Based on Stochastic Models

Masaki Murata, Kiyotaka Uchimoto, Hiromi Ozaku, Hitoshi Isahara
1999 NTCIR Conference on Evaluation of Information Access Technologies  
Our method for information retrieval uses Robertson's 2-poisson model which is one type of probablistic approach. This method achieved a comparatively high score in TREC.  ...  This paper explains the systems. key words 2-poisson model, adhoc retrieval, cross lingual retrieval G°±ê+HKsÞð2 •Ù À U4 õã 1ù m -E ¿5 d ¾îM õ ¯ý'õS '¿Öõ m 651-2401 ¡=ý{»Çe»Ç 588-2  ...  Cross lingual retrieval is when the system retrieves the documents from the database that satisfy the condition of a Japanese query when all the Japanese data have been eliminated and there is only English  ... 
dblp:conf/ntcir/MurataUOI99 fatcat:x52qhgt6ojg53b2suaovem3e74

Subword-based text retrieval

U. Hahn, M. Honeck, S. Schulz
2003 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the  
Document retrieval in languages with a rich and complex morphology -particularly in terms of derivation and (single-word) composition -suffers from serious performance degradation with the stemming-only  ...  We evaluate our approach on a large biomedical document collection.  ...  We here propose an approach to document retrieval which is based on the idea of segmenting query and document terms into basic subword units.  ... 
doi:10.1109/hicss.2003.1174249 dblp:conf/hicss/HahnHS03 fatcat:vqm2ru4w4veytimzei4xkd6fhq

Ontology-Based Multilingual Information Retrieval

Jacques Guyot, Saïd Radhouani, Gilles Falquet
2005 Conference and Labs of the Evaluation Forum  
This technique is based on an ontological representation of documents and queries. We use a multilingual ontology for documents/queries representation.  ...  For our first participation in the CLEF evaluation campaign, our aim is to explore a translation-free technique for multilingual information retrieval.  ...  We would also like to thank Metaread for giving us the possibility to use the "idxvli" information retrieval system (A fast indexer for big corpora).  ... 
dblp:conf/clef/GuyotRF05a fatcat:bm2cb72lanavpkanz7s5glaqtm

Information Retrieval Using Label Propagation Based Ranking

Lingpeng Yang, Donghong Ji, Yu Nie
2007 NTCIR Conference on Evaluation of Information Access Technologies  
Our document re-ranking method is done by a label propagation-based semi-supervised learning algorithm to utilize the intrinsic structure underlying in the large document data.  ...  In this paper, we describe our approach on Chinese Single Language Information Retrieval (SLIR) task and English-Chinese Bilingual CLIR task (BLIR).  ...  The new query is retrieved again to get the final result. English-Chinese BLIR We first translate query from English to Chinese, then we use the same approach of Chinese SLIR to retrieve documents.  ... 
dblp:conf/ntcir/YangJN07 fatcat:5dkvfvh2pvdjfd53nxb6pmhxvm

Dictionary-Based Amharic – English Information Retrieval [chapter]

Atelach Alemu Argaw, Lars Asker, Rickard Cöster, Jussi Karlgren
2005 Lecture Notes in Computer Science  
The resulting translated (English) terms are then submitted to a retrieval engine that supports the Boolean and vector-space models.  ...  In our experiments, the second approach (based on a list of English stop words) performs slightly better than the one based on IDF values for the Amharic terms.  ...  The approach we followed is a dictionary based one to translate the Amharic queries into English Bags-of-words.  ... 
doi:10.1007/11519645_14 fatcat:rcfvqfb63bfidh27lahx5ewzbq

Phase-based information retrieval

A.T. Arampatzis, T. Tsoris, C.H.A. Koster, Th.P. van der Weide
1998 Information Processing & Management  
Guided by the failures and successes of other state-of-the-art approaches, as well as our own experience with the IRENA system, our approach is based on phrases and incorporates linguistic resources and  ...  We suggest a representation of phrases suitable for indexing, and an architecture for such a retrieval system. Syntactical normalization is introduced to improve retrieval eectiveness.  ...  Precision is de®ned as the proportion of retrieved relevant documents to the retrieved documents. Recall is the proportion of the retrieved relevant documents to all relevant documents in the system.  ... 
doi:10.1016/s0306-4573(98)00030-2 fatcat:xvp3dr56enh2hdz7lsa6lj6ti4

Phrase-Based Document Categorization [chapter]

Cornelis H. A. Koster, Jean G. Beney, Suzan Verberne, Merijn Vogel
2011 Current Challenges in Patent Information Retrieval  
Introduction The document representation most widely used today in Information Retrieval (IR) is still the bag-of-words model, both in traditional query-based retrieval and in automatic document categorization  ...  Practical retrieval systems using words as terms are in fact based on a surprisingly simpleminded notion of aboutness: If the word x occurs in the document then the document is about x.  ... 
doi:10.1007/978-3-642-19231-9_13 fatcat:nezj4ilem5bcncwccxiay5i2hi

Content-based similar document image retrieval using fusion of CNN features [article]

Mao Tan, Si-Ping Yuan, Yong-Xin Su
2017 arXiv   pre-print
Experimental procedure is performed on a group of document images that transformed from academic papers, which contain both English and Chinese document, the results show that the proposed approach has  ...  While conventional document image retrieval approaches depend on complex OCR-based text recognition and text similarity detection, this paper proposes a new content-based approach, in which more attention  ...  CONCLUSIONS In this paper, a new content-based approach to document image retrieval is proposed.  ... 
arXiv:1703.08013v3 fatcat:icnmoywu5jhdtcvf5mgyrk7bgu

Exploiting Multimedia Content: A Machine Learning Based Aproach

Ehtesham Hassan
2014 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
The experimental evaluation is presented on document collections of Devanagari, Bengali and English scripts. Next, methods for document retrieval using multi-modal information fusion are presented.  ...  Latent Dirichlet Allocation based topic modelling with modified edit distance is introduced for the retrieval of documents having recognition inaccuracies.  ...  The experimental evaluation is presented on document collections of Devanagari, Bengali and English scripts. Next, methods for document retrieval using multi-modal information fusion are presented.  ... 
doi:10.5565/rev/elcvia.598 fatcat:mmeqgte4pzedzbtuukeepqxlgm

Dictionary-based cross-language information retrieval

Turid Hedlund
2004 SIGIR Forum  
Thirdly, this thesis deals with bilingual natural language information retrieval techniques where English is the target or document language and Swedish, Finnish and German are source or query languages  ...  Firstly, cross-language information retrieval problems for non-English languages, particularly Swedish are discussed.  ...  The process was particularly successful for the Finnish language where proper names usually appear in inflected forms and where matching to the target language document index therefore is difficult.  ... 
doi:10.1145/986278.986297 fatcat:j23q5byyijfe3dxfivqjpziz2y

Web Based Cross Language Plagiarism Detection [article]

Chow Kok Kent, Naomie Salim
2009 arXiv   pre-print
In general, our proposed system is started by translating the input documents from Malay to English, followed by removal of stop words and stemming words, identification of similar documents in corpus,  ...  Google Translate API is used as our translation tool and Google Search API, which is used in our information retrieval process.  ...  English stop words will be removed in the translated texts. Currently, there are several English stop words list that commonly used in the information retrieval process.  ... 
arXiv:0912.3959v1 fatcat:q3dyzo7unrcg5lz2h6wj4lb4yi

Plagiarism Detection Based on Citing Sentences [chapter]

Sidik Soleman, Atsushi Fujii
2017 Lecture Notes in Computer Science  
For the English language, ParaMaker is examined against six known methods with standard PAN2014 datasets.  ...  Generating suitable queries is the heart of this technique, and the existing methods suffer from the lack of producing accurate queries, Precision, and Speed of retrieved results.  ...  Recall mentions that if a document is theft, it is surely retrieved, while Precision says that if a document is retrieved, then it must be theft.  ... 
doi:10.1007/978-3-319-67008-9_38 fatcat:vjf67csttbg4fch7rra427xh5u

Dictionary-based techniques for cross-language information retrieval

Gina-Anne Levow, Douglas W. Oard, Philip Resnik
2005 Information Processing & Management  
Cross-language information retrieval (CLIR) systems allow users to find documents written in different languages from that of their query.  ...  A broad array of dictionary-based techniques have demonstrated utility, but comparison across techniques has been difficult because evaluation results often span only a limited range of conditions.  ...  the weight that would be computed for term D k in document j for monolingual retrieval, TF j (D k ) is the number of occurrences of term D k in document j, DF(D k ) is the number of documents that contain  ... 
doi:10.1016/j.ipm.2004.06.012 fatcat:tvaxj5zlxzbf7nntha3t7dzsj4
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