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HITIQA: Towards Analytical Question Answering
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In: DTIC (2004)
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| 62 |
CADRE Quick-Look: Foreign Language Posture in the US Air Force
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In: DTIC (2004)
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| 63 |
Cross-Document Coreference on a Large Scale Corpus
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In: DTIC (2004)
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| 64 |
CADRE Quick-Look: Suggestions for Language Transformation in the US Air Force
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In: DTIC (2004)
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| 65 |
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
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In: DTIC (2004)
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| 66 |
Spoken Dialogue for Simulation Control and Conversational Tutoring
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In: DTIC (2004)
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| 67 |
Generic Sentence Fusion is an Ill-Defined Summarization Task
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In: DTIC (2004)
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| 68 |
Recent Developments in USAF Officer Testing and Selection
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In: DTIC (2004)
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| 69 |
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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In: DTIC (2003)
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| 70 |
Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
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In: DTIC AND NTIS (2003)
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| 71 |
Development and Evaluation of a Korean Treebank and its Application to NLP
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In: DTIC (2002)
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| 72 |
Large Scale Language Independent Generation Using Thematic Hierarchies
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In: DTIC (2001)
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| 73 |
Towards a Unified Approach to Memory- and Statistical-Based Machine Translation
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In: DTIC (2001)
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| 74 |
A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems
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In: DTIC (2001)
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| 75 |
Automated Tutoring Dialogues for Training in Shipboard Damage Control
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In: DTIC (2001)
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| 76 |
NTCIR CLIR Experiments at the University of Maryland
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In: DTIC (2000)
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| 77 |
Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
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In: DTIC (2000)
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| 78 |
A Survey of Current Paradigms in Machine Translation
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In: DTIC (1998)
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| 79 |
The Effect of Prior Definitional Instruction of Targeted Vocabulary in German Texts on Vocabulary Knowledge and Reading Comprehension
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In: DTIC AND NTIS (1998)
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| 80 |
The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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Abstract:
Multilingual OCR has emerged as an important information technology, thanks to the increasing need for cross-language information access. While many research groups and companies have developed OCR algorithms for various languages, it is difficult to compare the performance of these OCR algorithms across languages. This difficulty arises because most evaluation methodologies rely on the use of a document image dataset in each of the languages and it is difficult to find document datasets in different languages that are similar in content and layout. In this paper we propose to use the Bible as a dataset for comparing OCR accuracy across languages. Besides being available in a wide range of languages, Bible translation are closely parallel in content, carefully translated, surprisingly relevant with respect to modern-day language, and quite inexpensive. A project at the University of Maryland is currently implementing this idea. We have created a scanned image dataset with groundtruth from an Arabic Bible. We have also used image degradation models to create synthetically degraded images of a French Bible. We hope to generate similar Bible datasets for other languages, and we are exploring alternative corpora such as the Koran and the Bhagavad Gita that have similar properties. Quantitative OCR evaluation based on the Arabic Bible dataset is currently in progress. ; Sponsored in part by DARPA and Army Research Lab. Report no. CS-TR-3967. Presented at the SPIE Conference on Document Recognition and Retrieval VI held in San Jose, CA on 27-28 Jan 1999. Published in the Proceedings of the SPIE Conference on Document Recognition and Retrieval VI, Proceedings of SPIE, v3651, 1999.
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Keyword:
*BIBLE; *CORPUS; *DATASETS; *GROUNDTRUTH; *OPTICAL CHARACTER RECOGNITION; *TEST SETS; *TRANSLATIONS; ACCURACY; ALGORITHMS; Cybernetics; DOCUMENT IMAGES; DOCUMENTS; IMAGES; Information Science; LANGUAGE; Linguistics; MULTILINGUAL OCR(OPTICAL CHARACTER RECOGNITION); SYMPOSIA; TEST AND EVALUATION
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URL: http://www.dtic.mil/docs/citations/ADA458666
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458666
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