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1
A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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2
Which data do elementary school teachers use to determine reading difficulties in their students?
In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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3
Which data do elementary school teachers use to determine reading difficulties in their students? ...
Schmitterer, Alexandra; Brod, Garvin. - : Hammill Inst. on Disabilites, 2021. : Sage Publ., 2021
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4
Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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5
Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
Sohoglu, Ediz; Davis, Matt. - : Apollo - University of Cambridge Repository, 2020
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6
A Diachronic Corpus for Literary Style Analysis ; Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
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7
Regression in Analysis
In: DTIC (2008)
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8
Entropy Based Classifier Combination for Sentence Segmentation
In: DTIC (2007)
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9
Generalized additive models : an introduction with R
Wood, Simon N.. - Boca Raton [u.a.] : Chapman & Hall/CRC, 2006
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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10
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
In: DTIC (2006)
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11
A Paraphrase-Based Approach to Machine Translation Evaluation
In: DTIC (2005)
Abstract: We propose a novel approach to automatic machine translation evaluation based on paraphrase identification. The quality of machine-generated output can be viewed as the extent to which the conveyed meaning matches the semantics of reference translations, independent of lexical and syntactic divergences. This idea is implemented ill linear regression models that attempt to capture human judgments of adequacy and fluency, based on features that have previously been shown to be effective for paraphrase identification. We evaluated our model using the output of three different MT systems from the 2004 NIST Arabic-to-English MT evaluation. Results show that models employing paraphrase-based features correlate better with human judgments than models based purely on existing automatic MT metrics. ; The original document contains color images. UMIACS-TR-2005-57. Sponsored in part by Office of Naval Research MURI Contract FCPO.810548265.
Keyword: *AUTOMATION; *MACHINE TRANSLATION; *PARAPHRASE IDENTIFICATION; *SEMANTICS; ARABIC LANGUAGE; ENGLISH LANGUAGE; FOREIGN LANGUAGES; LINEAR REGRESSION ANALYSIS; Linguistics; MACHINE GENERATED OUTPUT; MATHEMATICAL MODELS; Military Operations; OUTPUT; Strategy and Tactics; TRANSLATIONS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA448032
http://www.dtic.mil/docs/citations/ADA448032
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12
Faut-il préférer l'analyse de variance à l'analyse de régression dans les expériences utilisant des VI continues ?
: PERSEE, 2005
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13
Effects of Speech Recognition Accuracy on the Performance of DARPA Communicator Spoken Dialogue Systems
In: DTIC (2004)
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14
Predictors of Plebe Summer Attrition at the United States Naval Academy
In: DTIC AND NTIS (2003)
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15
Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
Harrell, Frank E.. - Berlin : Springer, 2001
MPI für Psycholinguistik
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16
Applied linear statistical models
Neter, John; Kutner, Michael H.; Nachtsheim, Christopher J.. - Boston, Mass : McGraw-Hill, 1996
MPI für Psycholinguistik
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17
Analysis of Russian and Spanish Subskill Testing at the Defense Language Institute.
In: DTIC AND NTIS (1996)
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18
Research on Narrowband Communications
In: DTIC AND NTIS (1981)
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19
Development and Validation of an Equation for Predicting the Comprehensibility of Textual Material.
In: DTIC AND NTIS (1977)
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20
An Extraction of Emotion in Human Speech Using Speech Synthesize and Classifiers for Each Emotion
In: http://www.wseas.us/e-library/transactions/information/2008/25-352.pdf
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