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In the last decade psychology has witnessed a resurgence·ofinterest in the mechanisms and processes by which the child learns his first language, and a primary issue in the recent literature has been ...
Part-of-Speech Tagging from 97% to 100%:Is It Time for Some Linguistics?
Part-of-Speech Tagging 97% to 100% Some Linguistics?
2015/6/12
I examine what would be necessary to move part-of-speech tagging performance from its current level of about 97.3% token accuracy (56% sentence accuracy) to close to 100% accuracy. I suggest that it m...
Parsing Time:Learning to Interpret Time Expressions
Parsing Time Interpret Time Expressions
2015/6/10
We present a probabilistic approach for learning to interpret temporal phrases given only a corpus of utterances and the times they reference. While most approaches to the task have used regular expre...
Word order affects the time course of sentence formulation in Tzeltal
incrementality message formulation sentence formulation cross-linguistic comparisons of sentence production verb-initial languages
2015/5/13
The scope of planning during sentence formulation is known to be flexible, as it can be influenced by speakers’ communicative goals and language production pressures (among other factors). Two eye-tra...
SEMANTIC SEGMENTATION AND DIFFERENCE EXTRACTION VIA TIME SERIES AERIAL VIDEO CAMERA AND ITS APPLICATION
difference extraction semantic segmentation aerial image
2015/5/7
Google earth with high-resolution imagery basically takes months to process new images before online updates. It is a time consuming and slow process especially for post-disaster application. The ob...
The immediate and chronic influence of spatio-temporal metaphors on the mental representations of time in English, Mandarin, and Mandarin-English speakers
time space metaphor Mandarin bilingualism
2015/4/24
In this paper we examine whether experience with spatial metaphors for time has an influence on people’s representation of time. In particular we ask whether spatio-temporal metaphors can have both ch...
Across cultures, people conceptualize time as if it flows along a horizontal timeline, but the direction of this implicit timeline is culture-specific: in cultures with left-to-right orthography (e.g....
The Time Course of Verb Processing in Dutch Sentences
Time Course Verb Processing Dutch Sentences
2015/4/7
The verb has traditionally been characterized as the central element in a sentence. Nevertheless, the exact role of the verb during the actual ongoing comprehension of a sentence as it unfolds in time...
No lexical–prelexical feedback during speech perception or: Is it time to stop playing those Christmas tapes?
Speech perception Feedback Interactive vs. autonomous models Compensation for coarticulation
2015/4/7
The strongest support for feedback in speech perception comes from evidence of apparent lexical influence on prelexical fricative-stop compensation for coarticulation. Lexical knowledge (e.g., that th...
Time in Language, Language in Time.
Lexical stress information modulates the time-course of spoken-word recognition
Lexical stress information modulates spoken-word recognition
2015/4/3
Segmental as well as suprasegmental information is used by Dutch listeners to recognize words. The time-course of the effect of suprasegmental stress information on spoken-word recognition was investi...
Telling time from analog and digital clocks: A multiple-route account
clock time naming conceptual mediation analog clock digital clock
2015/3/31
Does the naming of clocks always require conceptual preparation? To examine this question, speakers were presented with
analog and digital clocks that had to be named in Dutch using either a relative...
Real-Time Probabilistic Segmentation for Segment-Based Speech Recogntion
Probabilistic Segmentation Speech Recogntion
2015/3/12
Real-Time Probabilistic Segmentation for Segment-Based Speech Recogntion.
Real-time telephone-based speech recognition in the JUPITER domain
speech recognition JUPITER domain
2015/3/11
Real-time telephone-based speech recognition in the JUPITER domain.
Minimum classification error training of landmark models for real-time continuous speech recognition
landmark models real-time continuous speech recognition
2015/3/11
Minimum classification error training of landmark models for real-time continuous speech recognition.