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Address correspondence to:
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In: http://www.wjh.harvard.edu/~lds/pdfs/pdfs/Snedeker%20Word%20Learning.pdf
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Address correspondence to:
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In: http://www.wjh.harvard.edu/~lds/pdfs/pdfs/Snedeker%20Word%20Learning-1.pdf
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www.ijllalw.org THE EFFECT OF THE NUMBER OF AFFIXES ON VOCABULARY LEARNING OF IRANIAN INTERMEDIATE EFL STUDENTS
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In: http://www.ijllalw.org/finalversion537.pdf
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Designing for Children- With focus on ‘Play + Learn’ Back to Our Roots A Board Game Approach to Active Vocabulary
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In: http://www.designingforchildren.net/papers/sanika-mokashi-designingforchildren.pdf
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DOI 10.1515/cllt-2014-0009 Corpus Linguistics and Ling. Theory 2014; aop
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In: http://www.christianbentz.de/Papers/Bentz+et+al.+%282014%29+Zipf%27s+law+and+the+grammar+of+languages.pdf
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Student Learning Services
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In: http://www.citrenz.ac.nz/conferences/2011/pdf/306.pdf
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2012 Prediction during language processing is a piece of cake: but only for skilled producers
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In: http://pubman.mpdl.mpg.de/pubman/item/escidoc%3A1563752/component/escidoc%3A1563751/Huettig_Amlap_2012.pdf
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AND
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In: http://psych.stanford.edu/~babylab/pdfs/Bates, Marchman, Thal, et al 1994.pdf
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Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
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In: http://www.clef-campaign.org/2007/working_notes/larsonclef2007_ds.pdf
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They are out there, if you know where to look: Mining transliterations of oov query terms for cross language information retrieval
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In: http://people.cs.umass.edu/~abakalov/papers/ecir09-oov.pdf
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Toyohashi-shi
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/03-NTCIR9-SpokenDoc-IwamiK.pdf
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Performance Evaluation of Non-Keyword Modeling for Vocabulary-Independent Keyword Spotting
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In: http://isca-speech.org/archive_open/archive_papers/iscslp2006/B42.pdf
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MULTIPLE INDEX COMBINATION FOR JAPANESE SPOKEN TERM DETECTION WITH OPTIMUM INDEX SELECTION BASED ON OOV-REGION CLASSIFIER
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In: http://winnie.kuis.kyoto-u.ac.jp/members/okuno/Public/ICASSP-2013-Kanda.pdf
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Sanjeev Kumar 1
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In: http://www-csli.stanford.edu/~alexgru/pubs/icmi04.pdf
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1 Exploring the Further Integration of Machine Translation in Multilingual Information Access
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In: https://www.ideals.illinois.edu/bitstream/handle/2142/14916/iConferencev6-wu.pdf?sequence=2
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Individual vocabulary differences and the development of the shape bias
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2011/papers/0690/paper0690.pdf
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MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts
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In: http://clef.isti.cnr.it/2008/working_notes/Villena2-paperCLEF2008_MIRACLE_Vid2RSS2008.pdf
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Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design
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In: http://aclweb.org/anthology/W/W13/W13-3908.pdf
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Abstract:
Automatic sign language recognition (ASLR) is a special case of automatic speech recognition (ASR) and computer vision (CV) and is currently evolving from using artificial labgenerated data to using ’real-life ’ data. Although ASLR still struggles with feature extraction, it can benefit from techniques developed for ASR. We present a large-vocabulary ASLR system that is able to recognize sentences in continuous sign language and uses features extracted from standard single-view video cameras without using additional equipment. ASR techniques such as the multi-layer-perceptron (MLP) tandem approach, speaker adaptation, pronunciation modelling, and parallel hidden Markov models are investigated. We evaluate the influence of each system component on the recognition performance. On two publicly available large vocabulary databases representing lab-data (25 signer, 455 sign vocabulary, 19k sentence) and unconstrained ’real-life ’ sign language (1 signer, 266 sign vocabulary, 351 sentences) we can achieve 22.1 % respectively 38.6 % WER.
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Keyword:
ASR; Computer Vision; Continuous Sign Language Recognition; Index Terms; Large Vocabulary; Recognition System
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.2287 http://aclweb.org/anthology/W/W13/W13-3908.pdf
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The effects of synonymy on second-language vocabulary learning
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In: http://nflrc.hawaii.edu/rfl/October2007/webb/webb.pdf
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<論文> Realizing Imperialist Literature: The vocabulary and grammar of symbols manufacturing power and
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In: http://opac.kanto-gakuin.ac.jp/cgi-bin/retrieve/sr_bookview.cgi/U_CHARSET.utf-8/NI10000831/Body/link/ward.pdf
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