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This article reports on the investigation of possessive constructions as they are used in a corpus of spontaneous speech collected in 2015-2017 from speakers of Raga, the Oceanic vernacular of north P...
The speech code is a vehicle of language: it defines a set of forms used by a community to carry information. Such a code is necessary to support the linguistic interactions that allow humans to commu...
Indirect speech acts, like the request Do you know the time?, have both a literal meaning, here "I ask you whether you know the time," and an indirect meaning "I request you to tell me the time." In t...
Exploiting the lawful variability in the speech wave.
Speakers frequently have a choice among multiple ways of expressing one and the same thought. When choosing between syntactic constructions for expressing a given meaning, speakers are sensitive to pr...
Concord and Contrast in the Characterization of the Speech Community.
This paper presents results for a maximumentropy-based part of speech tagger, which achieves superior performance principally by enriching the information sources used for tagging. In particular, we g...
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of l...
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words, short words, and ve...
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...
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering algorithms, our metho...
Automatically detecting human social intentions and attitudes from spoken conversation is an important task for speech processing and social computing. We describe a system for detecting interpersonal...
Identifying the distinct register that adults use when speaking to children is an important task for child development research. We present a fully automatic, speaker-independent system that detects c...
Identifying the distinct register that adults use when speaking to children is an important task for child development research. We present a fully automatic, speaker-independent system that detect...

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