[PDF] Top 20 Lattice Based Search for Spoken Utterance Retrieval
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Lattice Based Search for Spoken Utterance Retrieval
... which retrieval is ...for retrieval in cases where there is a high degree of uncertainty about what was said, which is typically the case in LVCSR systems for con- versational ... See full document
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Key Information Expansion Applied in Spoken Document Classification based on Lattice
... There are many approaches to extract the key information from text documents, such as document frequency (DF), χ 2 statistics (CHI-square), term strength (TS), mutual information (MI), and information gain (IG). In [11], ... See full document
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Phrase Based Query Degradation Modeling for Vocabulary Independent Ranked Utterance Retrieval
... ber of substitutions, insertions, and deletions respec- tively, while N is the phoneme length of the refer- ence. Results are shown in Table 1. First, we see that the PER for the multigram system is roughly half that of ... See full document
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Query Lattice for Translation Retrieval
... Translation retrieval aims to search for the most probable translation candidate from a set of target- language strings for a given source-language ...translation retrieval methods were widely used ... See full document
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Probabilistic Aspects in Spoken Document Retrieval
... information retrieval focused on search- ing written texts only, the field of applications has since then extended to multimedia data such as audio and video docu- ments which are growing every day in ... See full document
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Automates lexico phonétiques pour l’indexation et la recherche de segments de parole (Lexical phonetic automata for spoken utterance indexing and retrieval) [in French]
... indexing spoken utterances which combines lexical and phonetic hypotheses in a hybrid index built from ...The retrieval is realised by a lexical-phonetic and semi-imperfect matching whose aim is to improve ... See full document
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Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders
... The target system is a smartphone-based Japanese- language spoken dialog application designed to encourage users to constantly use its speech inter- face. The application adopts gamification to pro- mote ... See full document
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A Statistical Language Modeling Approach to Lattice Based Spoken Document Retrieval
... tistical retrieval framework over the vector space ap- proach with tf · idf for text-based IR, as well as for spoken document retrieval via 1-best ...a spoken document represented in a ... See full document
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Towards Spoken Document Retrieval for the Internet: Lattice Indexing For Large Scale Web Search Architectures
... These item sets can be organized in an inverted index, similar to a text index, for efficient search. A text search engine stores at least two fields with each word hit: word position and document identity. ... See full document
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A Novel Approach for Content based Image Retrieval by using Histogram
... image retrieval (CBIR) technique use image content to search and retrieve digital ...image retrieval system was introduced to address the problems associated with text-based image ... See full document
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Predicting Tasks in Goal Oriented Spoken Dialog Systems using Semantic Knowledge Bases
... domain semantic knowledge resources are use- ful for text classification problems. Their success in limited data scenario is an attractive prospect, since most dialog agents operate in scarce train- ing data scenarios. ... See full document
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The relationship of word error rate to document ranking
... judgements based on the surrogates provided by SpeechBot: their judgement on the surrogates was similar to that made after listening to the original audio ... See full document
7
Mixing and merging for spoken document retrieval
... Sanderson, M. and Crestani, F. (1998) Mixing and merging for spoken document retrieval. In: Research and Advanced Technology for Digital Libraries. Second European Conference, ECDL'98, Heraklion, Crete, ... See full document
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Morphological variation of Arabic queries
... result based on fifteen users and 25 topics is striking as it shows that users can generally be expected to type in a query composed of morphological forms that retrieve a substantial fraction of relevant ... See full document
5
NLP for Information Retrieval using B Trees
... Information retrieval is an emerging technology in Information technology field. Every application needs storing and retrieval of application specific data. The traditional way of doing it, is through ... See full document
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Petri, Marisa (2012): Similarity search applications in medical images. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Landmark-independent ROI queries differ from landmark-based queries as follows: Example-based queries employ instance-based regression to determine the query ROI in the standardized height model ... See full document
218
Semantic Search based on Ontology Alignment for Information Retrieval
... FREyA, NLP-Reduce and AutoSPARQL are some of the Natural Language Interfaces developed for Semantic Search systems. NLP Reduce is a Natural Language Interface for semantic search. It is naive and ... See full document
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Tag Based Image Search by Social Re-ranking
... neighbor basis.hu et al. The complementary selective random walk model was proposed on the rating graph created based on the image relationship to estimate the relevance of the mark.Sun et al. The tagging ... See full document
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ABSTRACT- Sensitive cloud data have to be encrypted to protect information safety measures, before outsourcing.
... semantic search engine like Bing and DuckDuckGo retrieved more relevant documents than keyword based search engine like Google and ...However, search performance of Hakia, which is a semantic ... See full document
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IJCSMC, Vol. 6, Issue. 7, July 2017, pg.128 – 137 A Study on Web Images Retrieval Using Content Based Image Retrieval Methods
... text based image retrieval methods.Re-ranking based on the visual The most search engines is using the text-based image retrieval as textual information is sometimes retrieved is ... See full document
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