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Speech-Centric Information Processing: An Optimization-Oriented Approach
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In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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Imperatives, Discourse Markers, and Grammaticalization É vida, olha…: Imperatives as Discourse Markers and Grammaticalization Paths in Romance
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In: http://hal.inria.fr/docs/00/63/72/32/PDF/Fagard_Languages_in_Contrast-Revised_version.pdf (2011)
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Semantic understanding by combining extended cfg parser with hmm model,” Submitted to These Proceedings
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In: http://groups.csail.mit.edu/sls/publications/2010/Xu_SLT_2010.pdf (2010)
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Speech to sign language translation system for Spanish
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In: http://lorien.die.upm.es/~lfdharo/Papers/Speech2SignLanguage_SpeechCom2008.pdf (2008)
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Sentence Segmentation and Punctuation Recovery for Spoken Language Translation
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In: http://csl.ira.uka.de/fileadmin/media/publication_files/PaulikSchultz-ICASSP2008.pdf (2008)
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Statistical and computational models of the visual world paradigm: Growth curves and individual differences
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In: http://magnuson.psy.uconn.edu/pdfs/MirmanDixonMagnusonJML2008.pdf (2008)
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Automatic Decision Detection in Meeting Speech
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In: http://www.iccs.informatics.ed.ac.uk/~jmoore/papers/mlmi07.pdf (2007)
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Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
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In: http://lia.univ-avignon.fr/fileadmin/documents/Users/Intranet/chercheurs/bechet/publifred/FB_2006_INTERSPEECH_1.pdf (2006)
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Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
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In: http://www-lium.univ-lemans.fr/%7Eservan/publications/Servan_Interspeech2006.pdf (2006)
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Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
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In: http://www.ist-luna.eu/pdf/IS061416.pdf (2006)
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Confidence Estimation for NLP Applications
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In: http://iit-iti.nrc-cnrc.gc.ca/iit-publications-iti/docs/NRC-48755.pdf (2006)
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The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
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In: http://www.mrc-cbu.cam.ac.uk/personal/matt.davis/pubs/rodd_davis_johnsrude.cerebral_cortex2005.pdf (2005)
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Abstract:
A number of regions of the temporal and frontal lobes are known to be important for spoken language comprehension, yet we do not have a clear understanding of their functional role(s). In particular, there is considerable disagreement about which brain regions are involved in the semantic aspects of comprehension. Two functional magnetic resonance studies use the phenomenon of semantic ambiguity to identify regions within the fronto-temporal language network that subserve the semantic aspects of spoken language comprehension. Volunteers heard sentences containing ambiguous words (e.g. ‘the shell was fired towards the tank’) and wellmatched low-ambiguity sentences (e.g. ‘her secrets were written in her diary’). Although these sentences have similar acoustic, phonological, syntactic and prosodic properties (and were rated as being equally natural), the high-ambiguity sentences require additional processing by those brain regions involved in activating and selecting contextually appropriate word meanings. The ambiguity in these sentences goes largely unnoticed, and yet highambiguity sentences produced increased signal in left posterior inferior temporal cortex and inferior frontal gyri bilaterally. Given the ubiquity of semantic ambiguity, we conclude that these brain regions form an important part of the network that is involved in computing the meaning of spoken sentences.
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Keyword:
frontal cortex; semantics; sentences; spoken language; temporal
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.7252 http://www.mrc-cbu.cam.ac.uk/personal/matt.davis/pubs/rodd_davis_johnsrude.cerebral_cortex2005.pdf
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The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
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In: http://cercor.oxfordjournals.org/content/15/8/1261.full.pdf (2005)
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The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
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In: http://cercor.oxfordjournals.org/content/early/2005/01/05/cercor.bhi009.full.pdf (2005)
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Discriminative and maximum likelihood classifiers for computer-based visual feedback for speech training for the hearing impaired
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In: http://www.ws.binghamton.edu/zahorian/pdf/Discriminative and Maximum Likelihood Classifiers for Computer-Based Visual Feedback for Speech Training.pdf (2000)
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Detecting Acoustic Morphemes in Lattices for Spoken Language Understanding
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In: http://www.research.att.com/~algor/hmihy/papers/gorin684.ps (2000)
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Speaking in shorthand -- A syllable-centric perspective for understanding . . .
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In: http://www.icsi.berkeley.edu/~steveng/PDF/SpeakingInShorthandMIME.pdf (1999)
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Dealing With Multilinguality In A Spoken Language Query Translator
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In: http://www.ee.ust.hk/~pascale/slt97camera.ps (1997)
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A Survey on Chinese Speech Recognition
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In: ftp://ftp.iscs.nus.sg/pub/commcolips/p96001.ps (1996)
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WHAT MAKES SPEECH STICK?
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In: http://www.icphs2007.de/conference/Papers/1760/1760.pdf (1760)
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