Publications
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An Unfinished Canvas – Arts Education in the San Francisco Bay Area: A Supplementary Status Report
The research supporting An Unfinished Canvas was undertaken to document the status of arts education in California schools and assess the extent to which schools were meeting state goals for…
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Textual inference logic: take two
This note describes a logical system based on concepts and contexts, whose aim is to serve as a representation language for meanings of natural language sentences.
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Assimilating IT in the workplace: a study of situated learning
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A Semi-Supervised Learning Approach for Morpheme Segmentation for an Arabic Dialect
We evaluate our approach by applying morpheme segmentation to the training data of a statistical machine translation (SMT) system. Experiments show that our approach is less sensitive to the availability…
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IraqComm: A Next Generation Translation System
This paper describes the IraqComm translation system that mediates and translates spontaneous conversations between an English speaker and a speaker of colloquial Iraqi Arabic.
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Advances in Mandarin Broadcast Speech Recognition
We describe our continuing efforts to improve the UW-SRI-ICSI Mandarin broadcast speech recognizer.
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Detecting Deception Using Critical Segments
We present an investigation of segments that map to GLOBAL LIES, that is, the intent to deceive with respect to salient topics of the discourse. We propose that identifying the…
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Duration and Pronunciation Conditioned Lexical Modeling for Speaker Verification
We propose a method to improve speaker recognition lexical model performance using acoustic-prosodic information. More specifically, the lexical model is trained using duration- and pronunciation-conditioned word N-grams, simultaneously modeling lexical…
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fMPE-MAP: Improved Discriminative Adaptation for Modeling New Domains
This paper introduces a new adaptation approach, fMPE-MAP, which is an extension to the original fMPE (feature minimum phone error) algorithm, with the enhanced ability in porting Gaussian models and…
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Exploiting Information Extraction Annotations for Document Retrieval in Distillation Tasks
In this paper, we present our approach for using information extraction annotations to augment document retrieval for distillation. We take advantage of the fact that some of the distillation queries…
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Integrating MAP, Marginals, and Unsupervised Language Model Adaptation
We investigate the integration of various language model adaptation approaches for a cross-genre adaptation task to improve Mandarin ASR system performance on a recently introduced new genre, broadcast conversation (BC).
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Co-training Using Prosodic and Lexical Information for Sentence Segmentation
We investigate the application of the co-training learning algorithm on the sentence boundary classification problem by using lexical and prosodic information. Co-training is a semisupervised machine learning algorithm that uses…