[PDF] Top 20 A Statistical Language Modeling Approach to Lattice Based Spoken Document Retrieval
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A Statistical Language Modeling Approach to Lattice Based Spoken Document Retrieval
... for spoken document ...novel approach to lattice-based spoken document retrieval using statistical language models: a statistical model is ... See full document
9
A Comparative Study of Methods for Topic Modeling in Spoken Document Retrieval
... words based on its pronunciation, while different translations usually have some syllables in common, or may have exactly the same ...syllables. Statistical evidence also shows that, in the Chinese ... See full document
22
Language modeling approaches for enterprise tasks
... emails, based on what they remembered about the known ...Our retrieval strat- egy for the known-item email search used these features and consisted of two ...fielded language model to utilize this ... See full document
6
Combining Statistical and Knowledge Based Spoken Language Understanding in Conditional Models
... integrates statistical learning with a knowledge-based approach to ...conditional modeling; more specifically, replicating the feature set of a generative model in a conditional model may not ... See full document
8
Key Information Expansion Applied in Spoken Document Classification based on Lattice
... as document frequency (DF), χ 2 statistics (CHI-square), term strength (TS), mutual information (MI), and information gain ...text- based retrieval is also adopted ... See full document
8
A Practical Passage-based Approach for Chinese Document Retrieval
... a language modeling framework. They found passage retrieval based on language models can provide more reliable performance than retrieval based on full ... See full document
10
Probabilistic Aspects in Spoken Document Retrieval
... probabilistic retrieval metrics for SDR. Although probabilistic retrieval metrics are usually bet- ter motivated in terms of a mathematically well-founded the- ory than their heuristic counterparts, they ... See full document
13
Towards Spoken Document Retrieval for the Internet: Lattice Indexing For Large Scale Web Search Architectures
... indexing spoken words in audio recordings. The TREC (Text REtrieval Conference) Spoken-Document Retrieval (SDR) track has fostered research on audio- retrieval of broadcast-news ... See full document
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Short queries, natural language and spoken documents retrieval: experiments at Glasgow University
... where retrieval based on the very short versions of the TREC ad hoc queries produced better retrieval eectiveness than retrieval based on more `normal' length ... See full document
21
Lattice Based Search for Spoken Utterance Retrieval
... for retrieval of voice and video mail messages (Brown et ...and retrieval is performed using both word and phone ...phonetic retrieval based on the probabilis- tic formulation of term ... See full document
8
An Improvement in Cross-Language Document Retrieval Based on Statistical Models
... apply document translation approach using SMT model instead of query translation, although the latter one may require fewer computational ...target language, the problem is transformed from bilingual ... See full document
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Book Reviews: The Oxford Handbook of Computational Linguistics edited by Ruslan Mitkov Reviewed by Peter Jackson; Readings in Machine Translation edited by Sergei Nirenburg, Harold Somers, and Yorick Wilks Reviewed by Elliott Macklovitch; Language Modeling for Information Retrieval edited by W Bruce Croft and John Lafferty Reviewed by Paul Thompson; Probabilistic Linguistics edited by Rens Bod, Jennifer Hay, and Stefanie Jannedy Reviewed by Patrick Juola
... Another reason for the excessive length of Readings in Machine Translation is that the book is divided into three distinct sections, each under the responsibility of one of the editors. The historical section is under ... See full document
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LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL
... a document with ignoring the order of ...information retrieval studies by Westerveld and Vries [20] ,Vulić, et ...information retrieval even bigram models have been ... See full document
11
Secure Bio-Cryptographic Authentication System for Cardless Automated Teller Machines
... Arabic language, however, poses a number of challenges due to being orthographic with diacritics making it less ambiguous and more phonetic; its complex morphology and its words which are usually derived from ... See full document
10
Parsing Spoken Language: a Semantic Caseframe Approach
... Parsing Spoken Language a Semantic Caseframe Approach Parsing Spoken Language' a Semantic Caseframe Approach Philip J Hayes, Alexander G Hauptmann, Jaime G Carbonell, and Masaru Tomita Computer Scienc[.] ... See full document
6
Lattice Boltzmann Simulations in the Slip and Transition Flow Regime with the Peano Framework
... In our future work, we plan to approach the molecular regime. More focus is to be put on spatial adaptivity: higher gains in performance than in the present microre- actor simulation are expected, for example in ... See full document
10
Classification-based spoken text selection for LVCSR language modeling
... The recognition results of our proposed techniques are also slightly improved compared to others. This might be due to the fact that we use a development set from the VoiceTra4U-M data (VT-DEV) to tune obtain an ... See full document
12
Keyword and Keyphrase Extraction Techniques: A Literature Review
... and language-independent method for extracting keywords from individual documents ...is based on the observation that keywords frequently contain multiple words but they rarely contain punctuation or stop ... See full document
6
A Knowledge based Representation for Cross Language Document Retrieval and Categorization
... cross-lingual document re- trieval is vector-based. A document vector, whose components quantify the relevance of each term in the document, is usually highly dimensional, be- cause of the ... See full document
10
Cross lingual Subjectivity Detection for Resource Lean Languages
... Wide and universal changes in the web con- tent due to the growth of web 2 applications increase the importance of user-generated con- tent on the web. Therefore, the related re- search areas such as sentiment analysis, ... See full document
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