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Managing fieldwork data with Toolbox and the Natural Language Toolkit
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| 144 |
Off the cassette tape and onto CD: migrating analog audio data to digital format
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| 146 |
Clustering methodologies for identifying country core competencies
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| 147 |
Trust in Security-Policy Enforcement Mechanisms
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In: DTIC (2006)
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| 148 |
From Cognition To Language: The Modeling Field Theory Approach
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In: DTIC (2006)
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| 149 |
Automated Communications Analysis System using Latent Semantic Analysis
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In: DTIC (2006)
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| 150 |
A Hybrid Approach for QA Track Definitional Questions
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In: DTIC (2006)
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| 151 |
Semantic Web Services with Web Ontology Language (OWL-S) - Specification of Agent-Services for DARPA Agent Markup Language (DAML)
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In: DTIC (2006)
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| 152 |
Exploring the Utility of ResearchCyc for Reasoning from Natural Language
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In: DTIC (2006)
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| 153 |
3D Photonic Crystals Build Up By Self-Organization Of Nanospheres
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In: DTIC (2006)
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| 154 |
A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
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In: DTIC (2006)
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Abstract:
This paper describes a methodology for end-to-end evaluation of Arabic document image processing software. Various software solutions have been proposed for digitization and understanding of noisy, complex Arabic document images. Optical-character-recognition-based (OCR-based) solutions have been available for decades; however this technology is often tailored to the most common document image type: clean, monolingual documents. Real-world documents often involve multiple languages, handwriting, logos, signatures, pictures, stylized text, and other document aspects. Real-world documents involve noise introduced by document aging, reproduction, or exposure to environment factors. Document image processing solutions are maturing to deal with such complexities. Such systems include image clean-up algorithms and page segmentation, followed by various recognition or digitization algorithms: OCR, handwritten word recognition (HWR), logo identification, signature identification, sub-image or picture identification. Indexing digitized document renditions into a search engine enables ad hoc querying of the collection. Some researchers have proposed semi-automation, a process in which human readers interpret complex documents and record a spoken rendition; the audio recordings are then processed by a spoken document retrieval (SDR) system, employing automatic speech recognition (ASR) for digitization and an information retrieval solution to enable ad hoc queries. To handle foreign language, machine translation may be included in any of the aforementioned document image processing systems. This array of approaches results in widely varying performance. This paper discusses a methodology for evaluating the end-to-end retrieval performance of these systems: the ad-hoc use case. The methodology can be easily tailored to other languages, and to other document formats (e.g., audio and video). ; The original document contains color images.
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Keyword:
*ARABIC LANGUAGE; *COMPUTER PROGRAMS; *IMAGE PROCESSING; *INFORMATION RETRIEVAL; *METHODOLOGY; *RETRIEVAL PERFORMANCE; *SOFTWARE EVALUATION METHODOLOGY; *TEST AND EVALUATION; AD HOC USE CASE; ALGORITHMS; ASR(AUTOMATIC SPEECH RECOGNITION); CLEAN-UP ALGORITHMS; Computer Programming and Software; DIGITAL IMAGES; DIGITIZATION; Equipment and Methods; HWR(HANDWRITTEN WORD RECOGNITION); ILLEGIBLE DOCUMENTS; IMAGE PROCESSING SOFTWARE; Linguistics; MACHINE TRANSLATION; MULTILINGUAL DOCUMENTS; NOISY DOCUMENT IMAGES; OPTICAL CHARACTER RECOGNITION; PAGE SEGMENTATION; PERFORMANCE(ENGINEERING); PICTURES; PRECISION; RETRIEVAL PRECISION; RETRIEVAL RECALL; SDR(SPOKEN DOCUMENT RETRIEVAL); SPEECH RECOGNITION; SYMBOLS; Test Facilities; TREC MEASURES; TREC(TEXT RETRIEVAL CONFERENCES); WEAR; WORD RECOGNITION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA468394
http://www.dtic.mil/docs/citations/ADA468394
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| 155 |
A new mass elicitation technique: the dictionary development program
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| 156 |
One dictionary, one language, one team, but different locations? Version control and file management turn chaos into quality
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| 157 |
The SIL FieldWorks language explorer approach to morphological parsing
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| 158 |
Ensuring that digital data last: the priority of archival form over working form and presentation form
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