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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 30 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 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 6 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 7 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 8 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 9 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 10 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 11 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 12 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 13 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 14 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) BASE Show details 15 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 16 Connectionist Transfer in Machine Translation Ye-yi Wang; Alex Waibel In: http://research.microsoft.com/users/yeyiwang/publications/ranlp95.ps (1995) Abstract: A traditional transfer system in machine translation maps between language structures and an intermediate representation. Our connectionist transfer system maps from f-structures of one language to f-structures of another language. It encodes the intermediate representation implicitly in neural networks' activation patterns. The system is learnable, therefore it does not need any effort in hand-crafting the representation and mapping rules. Experiments show the system has good scalability and generalizability performance. 1 Introduction Most of the current machine translation systems adopt an indirect strategy that maps between languages and an intermediate representation. The interlingua model (Witkam 83; S. Nirenbrug & Tuker 87) uses a language-independent intermediate representation. Design of the representation requires cross-linguistic expertise. The intermediate representation in a transfer model (White 87) is language-dependent. Its design is relatively easier. However, multipl. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.8276 http://research.microsoft.com/users/yeyiwang/publications/ranlp95.ps BASE Hide details 17 Dual-coding theory and connectionist lexical selection Ye-yi Wang In: http://arxiv.org/pdf/cmp-lg/9405035v1.pdf (1994) BASE Show details 18 Dual-Coding Theory and Connectionist Lexical Selection ... Wang, Ye-Yi. - : arXiv, 1994 BASE Show details 19 LEXICON MODELING FOR QUERY UNDERSTANDING Jingjing Liu; Xiao Li; Alex Acero... In: http://groups.csail.mit.edu/sls/publications/2011/Liu_ICASSP2011.pdf BASE Show details 20 INTENT DETECTION USING SEMANTICALLY ENRICHED WORD EMBEDDINGS Joo-Kyung Kim; Gokhan Tur; †... In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/09/intent-detection-semantically.pdf BASE Show details Page: 1 2

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