Mark Liberman

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Linguistic annotation" covers any descriptive or analytic notations applied to raw language data. The basic data may be in the form of time functions – audio, video and/or physiological recordings – or it may be textual. The added notations may include transcriptions of all sorts (from phonetic features to discourse structures), part-of-speech and sense(More)
The problem of quantitatively comparing tile performance of different broad-coverage grammars of English has to date resisted solution. Prima facie, known English grammars appear to disagree strongly with each other as to the elements of even tile simplest sentences. For instance, the grammars of Steve Abney (Bellcore), Ezra Black (IBM), Dan Flickinger(More)
In this dissertation I present a model for the determination of intonation contours from context and provide two implemented systems which apply this theory to the problem of generating spoken language with appropriate intonation from high-level semantic representations. The theory and implementations presented here are based on an information structure(More)
We describe a formal model for annotating linguistic artifacts, from which we derive an application programming interface (API) to a suite of tools for manipulating these annotations. The abstract logical model provides for a range of storage formats and promotes the reuse of tools that interact through this API. We focus first on “Annotation Graphs,” a(More)
This paper reports the results of our experiments on speaker identification in the SCOTUS corpus, which includes oral arguments from the Supreme Court of the United States. Our main findings are as follows: 1) a combination of Gaussian mixture models and monophone HMM models attains near-100% textindependent identification accuracy on utterances that are(More)
Complexity of Lexical Descriptions and its Relevance to Partial Parsing Srinivas Bangalore Supervisor: Aravind K. Joshi In this dissertation, we have proposed novel methods for robust parsing that integrate the exibility of linguistically motivated lexical descriptions with the robustness of statistical techniques. Our thesis is that the computation of(More)
This paper describes the first version of “Transcriber”, a tool for segmenting, labeling and transcribing speech. It is developed under Unix in the Tcl/Tk script language with extensions in C, and is available as free software. The environment offers the basic functions necessary for segmenting, labeling and transcribing long duration signals. The signal(More)