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Проблемы употребления видов глагола китайскими студентами в русском языке : магистерская диссертация ; Problems of using russian verbal aspects by chinese students
Чжэн, Ц.; Zheng, Q.. - : б. и., 2021
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2
Sociolinguistically Informed Natural Language Processing: Automating Irony Detection
In: DTIC (2015)
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Аномалии в рекламных текстах г. Екатеринбурга ; Anomakies in advertising texts of Yekaterinburg
Воронина, О. С.; Соболева, Е. Г.; Voronina, O. S.. - : Издательство Уральского университета, 2014
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What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It?
In: DTIC (2013)
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Distributed Estimation in Sensor Networks with Imperfect Model Information: An Adaptive Learning-Based Approach
In: DTIC (2012)
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6
Characterizing Deletion Transformations across Dialects using a Sophisticated Tying Mechanism
In: DTIC (2011)
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7
Reliable Electronic Text: The Elusive Prerequisite for a Host of Human Language Technologies
In: DTIC (2010)
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8
Natural Language Processing for Joint Fire Observer Training
In: DTIC (2010)
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9
Detecting the Difficulty Level of Foreign Language Texts
In: DTIC (2010)
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10
A Comparison of Query-by-Example Methods for Spoken Term Detection
In: DTIC (2009)
Abstract: In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngrambased phonetic index and we analyze factors affecting the performance of these systems. We show that the best systems under this paradigm are able to achieve 77% precision when retrieving utterances from conversational telephone speech and returning 10 results from a single query (performance that is better than a similar dictionary-based approach) suggesting significant utility for applications requiring high precision. We also show that these systems can be further improved using relevance feedback: By incorporating four additional queries the precision of the best system can be improved by 13.7% relative. Our systems perform well despite high phone recognition error rates (> 40%) and make use of no pronunciation or letter-to-sound resources. ; Presented at Interspeech 2009, Brighton, UK, Sept. 6, 2009. U.S. Government or Federal Rights License
Keyword: *PHONETICS; DETECTION; ERRORS; INDEXES; INTERROGATION; Linguistics; QUERIES; RATES; RECOGNITION; SEARCHING; SPEECH; SYMPOSIA
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA514582
http://www.dtic.mil/docs/citations/ADA514582
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11
Data Analysis Project: Leveraging Massive Textual Corpora Using n-Gram Statistics
In: DTIC (2008)
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12
Coherence of Off-Topic Responses for a Virtual Character
In: DTIC (2008)
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13
Empirical Properties of Multilingual Phone-To-Word Transduction
In: DTIC (2008)
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14
Comparing Evaluation Metrics for Sentence Boundary Detection
In: DTIC (2007)
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15
Selective category and modality effects in deep dyslexia
In: NEUROCASE , 13 (3) 144 - 153. (2007) (2007)
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16
The Error Is the Clue: Breakdown In Human-Machine Interaction
In: DTIC (2006)
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17
Investigation on Mandarin Broadcast News Speech Recognition
In: DTIC (2006)
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18
Re-visiting "semantic facilitation" of word retrieval for people with aphasia: Facilitation yes but semantic no
In: CORTEX , 42 (6) 946 - 962. (2006) (2006)
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19
Language-specific properties of the lexicon: Implications for learning and processing
In: LANG COGNITIVE PROC , 21 (7-8) 790 - 816. (2006) (2006)
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20
Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
In: DTIC (2005)
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