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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 33 1 Brief Stimulus Exposure Fully Remediates Temporal Processing Deficits Induced by Early Hearing Loss Green, David B.; Mattingly, Michelle M.; Ye, Yi. - : Society for Neuroscience, 2017 BASE Show details 2 Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM,” in INTERSPEECH Dilek Hakkani-Tür; Gokhan Tur; Asli Celikyilmaz... In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/IS16_MultiJoint.pdf (2016) BASE Show details 3 EVALUATION OF THE SIGNAL-TO-NOISE RATIO REQUIRED TO ACHIEVE THE SAME PERFORMANCE IN ENGLISH AND MANDARIN CHINESE Ye, Yi. - 2014 BASE Show details 4 Semi-supervised learning of semantic classes for query . . . Ye-yi Wang; Raphael Hoffmann; Xiao Li In: http://research.microsoft.com/pubs/101154/fp0894-wang-webpost.pdf (2009) BASE Show details 5 An integrative and discriminative technique for spoken utterance classification Yaman, Sibel; Yu, Dong; Wang, Ye-Yi... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 6, 1207-1214 BLLDB OLC Linguistik Show details 6 Acero: A discriminative training framework using N-best speech recognition transcriptions and scores for spoken utterance classification Sibel Yaman; Li Deng; Dong Yu... In: http://www1.icsi.berkeley.edu/~sibel/ICASSP2007SUC.pdf (2007) BASE Show details 7 Rapid development of spoken language understanding grammars Acero, Alex; Wang, Ye-Yi In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 390-416 BLLDB OLC Linguistik Show details 8 SGStudio: Rapid Semantic Grammar Development for Spoken Language Understanding Ye-yi Wang; Alex Acero In: http://research.microsoft.com/pubs/60452/2005-wang-acero-eurospeech.pdf (2005) BASE Show details 9 Grammar Inference and Statistical Machine Translation Ye-yi Wang; Jaime Carbonell In: http://www.is.cs.cmu.edu/papers/speech/phd-thesis/thesis-yyw.ps.gz (1998) BASE Show details 10 Decoding Algorithm in Statistical Machine Translation Ye-yi Wang; Alex Waibel In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1997_1/wang_ye_yi_1997_1.ps.gz (1997) BASE Show details 11 Connectionist f-structure transfer Wang, Ye-Yi; Waibel, Alex In: Recent advances in natural language processing. - Amsterdam : Benjamins (1997), 393-404 BLLDB Show details 12 Word Clustering With Parallel Spoken Language Corpora Ye-yi Wang; John Lafferty; Alex Waibel In: http://research.microsoft.com/users/yeyiwang/publications/icslp96.ps (1996) BASE Show details 13 Word Clustering With Parallel Spoken Language Corpora Ye-yi Wang; John Lafferty; Alex Waibel In: http://www.ubka.uni-karlsruhe.de/vvv/1996/informatik/66/66.ps.gz (1996) BASE Show details 14 Word clustering with parallel spoken language corpora Ye-yi Wang; John La; Alex Waibel In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1996_1/wang_ye_yi_1996_1.pdf (1996) BASE Show details 15 Word clustering with parallel spoken language corpora Ye-yi Wang; John La; Alex Waibel In: http://research.microsoft.com/pubs/75238/1996-yeyiwang-icslp.pdf (1996) BASE Show details 16 Word Clustering With Parallel Spoken Language Corpora Ye-Yi Wang, John Lafferty; Alex Waibel In: http://www.asel.udel.edu/icslp/cdrom/vol4/687/a687.pdf (1996) BASE Show details 17 Improved Language Modeling By Unsupervised Acquisition Of Structure Klaus Ries; Finn Dag Buø; Ye-yi Wang In: ftp://ftp.cs.cmu.edu/afs/cs/project/cmt-38/ries/ftp/ries_buo_wang_icassp95.ps.gz (1995) Abstract: The word accuracy of the decoder is improved from 59:1% to 61:1% by a new method for the unsupervised acquisition of a structural text model. Well recognized sentences even show an improvement from 84:8% to 91:1%. This method is based on new algorithms for the classification of words and phrases by their context and on new sequence finding procedures. These procedures are designed to work fast and accurately on small and large corpora. They are iterated to build a structural model of a corpus. Further applications in language processing, which exploit the structure finding capabilities of this model, such as preprocessing for neural networks and (hidden) markov models, are proposed. 1. CLASSIFYING ENTITIES FROM CONTEXT VIA ITERATED REESTIMATION The most widespread criterion for the classification of words and phrases in linguistics is the replacement test, which states, that two linguistic entities are the same, if they can be mutually substituted in sentences where they appear. [Fin. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.5838 BASE Hide details 18 Improved Language Modeling By Unsupervised Acquisition Of Structure Klaus Ries; Finn Dag Buø; Ye-Yi Wang and Alex Waibel... In: http://werner.ira.uka.de/papers/speech/1995/ICASSP_95_klaus_ries.ps.gz (1995) BASE Show details 19 Connectionist Transfer in Machine Translation Ye-yi Wang; Alex Waibel In: http://research.microsoft.com/users/yeyiwang/publications/ranlp95.ps (1995) BASE Show details 20 Dual-coding theory and connectionist lexical selection Ye-yi Wang In: http://arxiv.org/pdf/cmp-lg/9405035v1.pdf (1994) BASE Show details Page: 1 2

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