Implications for Models of Spoken Language Processing
Spoken language processing: piecing together the puzzle
... 6. Implications for Models of Spoken Language Processing PRESENCE models speech as an emergent behaviour from the interaction of two (or more, depending on the number of ...
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An Exploration of Eye Gaze in Spoken Language Processing for Multimodal Conversational Interfaces
... a language model for spoken language ...proving spoken language processing and the effect of eye gaze varies among different ...its implications in auto- mated ...
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A Corpus of Spontaneous Speech in Lectures: The KIT Lecture Corpus for Spoken Language Processing and Translation
... that spoken-style sentences, even when disfluencies are removed or do not occur at all, are harder to translate than the grammatically correct sentences produced by the annotators that of course come closer to ...
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Processing Spoken Language Data: The BASE Experience
... to whether to adapt an existing TEI-specified tag, that roughly approximates, or to introduce a new tag for use in our corpus, and move for it to be included in future versions of the TEI Guidelines. The working ...
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Re Ranking Models for Spoken Language Understanding
... both models are used: a gen- erative model produces a list of ranked hy- potheses whereas a discriminative model based on structure kernels and Support Vector Machines, re-ranks such ...
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Nonparametric Bayesian Models for Spoken Language Understanding
... duce related work. In Section 3, we present our nonparametric Bayesian formulation, the hierarchi- cal Dirichlet process slot model (HDPSM), which directly models an infinite set of slot values. On the basis of ...
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Natural language processing in dialogue systems with spoken input
... The relative importance of the different kinds of collected data depends on whether the dialogue structure in spoken dialogue systems are strictly system-directed or user-directed. If the dialogue structure is ...
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Reading Optimally Builds on Spoken Language: Implications for Deaf Readers
... Our criticisms of exclusive spelling-error categori- zation remain relevant here. Successful spelling and er- rors in spelling depend on the coordination of several sources of information, and judgments that an error re- ...
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Stochastic Finite State models for Spoken Language Machine Translation
... The task performance improved from the unigram-based translation model to phrase unigram- based translation model corresponding to the im- provement in the lexical choice[r] ...
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Log-linear Models for Uyghur Segmentation in Spoken Language Translation
... 6 Conclusion In this paper, we present a bilingually - con- strained based Uyghur segmentation method to optimize the performance of Uyghur-Chinese spo- ken translation. Our approach aims to maintain some useful suffixes ...
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Category-based Language Models in a Spanish Spoken Dialogue System
... two language models were constructed: a language model based on category k-grams and a hybrid ...a language model based on word k-grams and a language model based on cat- egory ...
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Incremental processing of noisy user utterances in the spoken language understanding task
... create spoken lan- guage understanding systems with high qual- ity and fast processing ...incremental processing of the user ut- terance and starting subactions while the utter- ance is still being ...
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The role of planum temporale in processing accent variation in spoken language comprehension
... always spoken in Standard Dutch, and all 128 sentences were randomized and counterbalanced across in all four conditions across all participants, it may be assumed that the first sentences did not differ systemati- ...
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RESEARCH ON SPOKEN LANGUAGE PROCESSING Progress Report No. 25 ( ) Indiana University
... Imitation of Nonwords by Hearing-Impaired Children with Cochlear Implants: Suprasegmental Analyses Abstract. In this study, we examined two prosodic characteristics of speech production in eight- to 10-year-old ...
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On the Effects of Automatic Transcription and Segmentation Errors in Hungarian Spoken Language Processing
... Two different methods can be applied by the process- ing of spoken documents; the direct acoustic analysis of the speech stream, or the post-processing of the auto- matic transcripts. In the latter case, ...
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Spoken language processing in children: Effects of noise and the speakers voice quality
... 156 of noise are contrasted (e.g., Peng et al., 2016). Nevertheless, interstudy comparisons are hampered due to methodological differences. Our results showed a significant increase in RTs of ~170 ms in noise at 0 dB ...
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Combining Statistical and Knowledge Based Spoken Language Understanding in Conditional Models
... conditional models achieve more than 20% relative reduction in slot error rate over the HMM/CFG model, which had already achieved an SLU accuracy at the same level as the best results reported on the ATIS ...
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Latent Structure Models for Natural Language Processing
... powerful models that obliviate linguistic structure almost completely (such as LSTMs and Transformer architectures), there are two main reasons why modeling it is de- sirable: first, incorporating structural bias ...
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Cognitively Plausible Models of Human Language Processing
... human language pro- cessing is driven by an interaction of syntactic, se- mantic, and discourse processes (see Table 2 for an overview and ...discourse processing and syntactic ...
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INTERNATIONAL COMPUTER SCIENCE INSTITUTE. Spoken Language Processing in the Clarissa Procedure Browser
... and spoken versions of the procedure, which often differ in various ...The spoken version must in contrast be explicit about adjusting the spoken output to the specific suits used, as for example in ...
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