Spoken Document Retrieval
Towards Spoken Document Retrieval for the Internet: Lattice Indexing For Large Scale Web Search Architectures
... for document retrieval eval- ...text retrieval engine on the ground truth transcripts as the ...our spoken-document retrieval system gets to a text engine applied to ...
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Test Collections for Spoken Document Retrieval from Lecture Audio Data
... information retrieval research have been constructed from such sources as newspaper ar- ticles (Kitani et ...cross-language retrieval (Gey and Oard, 2001; Kishida et ...for Spoken Document ...
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Evaluation of Spoken Document Retrieval for Historic Speech Collections
... of spoken word audio collections maintained by audiovisual archives is severely hindered by their generally limited ...a spoken document retrieval framework is being ...the spoken word ...
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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 ...
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Mixing and merging for spoken document retrieval
... Sanderson, M. and Crestani, F. (1998) Mixing and merging for spoken document retrieval. In: Nikolaou, C. and Stephanidis, C., (eds.) Research and Advanced Technology for Digital Libraries. Second ...
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Probabilistic Aspects in Spoken Document Retrieval
... which spoken document retrieval (SDR) plays an important ...for retrieval, to which a user may address a request in natural ...on retrieval performance and inquires the question of why ...
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Creation of an Annotated German Broadcast Speech Database for Spoken Document Retrieval
... In this paper we present a semi-automatic method for creating annotated data sets from German-language broadcast re- sources for which audio files as well as transcripts are available on the Internet. The transcripts are ...
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Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task
... the retrieval technique used in RYSDT-1 was almost the same as the baseline, its use of its own transcription seemed to be the major factor of the ...passage retrieval task, the three evaluation mea- sures, ...
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PodCastle: A Spoken Document Retrieval Service Improved by Anonymous User Contributions
... PodCastle is a social annotation web service where users can search, read, and annotate podcasts in text form. Each podcast consists of a series of episodes of audio data (MP3 files) and their metadata (RSS syndication ...
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PodVinder : spoken document retrieval for Dutch pod and vodcasts
... and retrieval the standard libraries plus Dutch analysis classes of Lucene were used 1 ...for retrieval and scoring the standard classes of Lucene were ...information retrieval to determine how ...
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A Comparative Study of Methods for Topic Modeling in Spoken Document Retrieval
... corresponding retrieval results are shown in Table ...the document language model does not seem to offer many extra clues for document ...the retrieval performance receives great boosts from ...
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Lattice Based Search for Spoken Utterance Retrieval
... Almost all ASR systems have a closed vocabulary. This restriction comes from run-time requirements as well as the finite amount of data used for training the language models of the ASR systems. Typically the recognition ...
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Automatic Speech Recognition and Its Application to Information Extraction
... In the DARPA project, the Spoken Document Retrieval SDR of TREC and the Topic Detection and Tracking TDT program are supported by the same materials and systems that have been Table 1 - [r] ...
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Using Zero Resource Spoken Term Discovery for Ranked Retrieval
... facilitated spoken document retrieval without the need for traditional transcription or ...ranked. Retrieval results vary depending on how much redundancy exists in the transcribed data, and ...
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The relationship of word error rate to document ranking
... retrieved spoken documents returned by a spoken document retrieval ...affect retrieval effectiveness but whether they will adversely affect relevance judgement remains ...
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Lexical Query Paraphrasing for Document Retrieval
... In addition, we defined the experimental parame- ter AbsAdjDiv, which models the impact of adjacent lemma-pairs on paraphrasing and retrieval perfor- mance. This parameter takes the form of a divisor for AbsFreq: ...
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Applying BERT to Document Retrieval with Birch
... the document scores juxtaposed with the BERT scores of constituent ...low document scores but high BERT scores (and vice versa) are highlighted, allowing the user to examine the relative contributions of ...
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Information Extraction: Beyond Document Retrieval
... Applied work on filling structured records with information from natural language texts appears to have originated in two long-term, research-oriented natural language pro- cessing projects. The Linguistic String Project ...
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Segment Based Hidden Markov Models for Information Extraction
... segment retrieval method requires the training documents to be segmented in ad- ...segment retrieval methods that do not require documents to be segmented before retrieval, hence avoiding the ...
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Relevant Web Document Retrieval and Summarization
... IJEDRCP1501045 International Journal of Engineering Development and Research (www.ijedr.org) 203 The proposed work automatically identifies the important aspects of products from numerous consumer reviews. Significant ...
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