SRI International
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Building A Highly Accurate Mandarin Speech Recognizer
We describe a highly accurate large-vocabulary continuous Mandarin speech recognizer, a collaborative effort among four research organizations. Particularly, we build two acoustic models (AMs) with significant differences but with similar accuracy for the purposes of cross adaptation and system combination.
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Morph-Based Speech Recognition and Modeling of Out-of-Vocabulary Words Across Languages
We explore the use of morph-based language models in large-vocabulary continuous speech recognition systems across four so-called “morphologically rich” languages: Finnish, Estonian, Turkish, and Egyptian Colloquial Arabic. The morphs are subword units discovered in an unsupervised, data-driven way using the Morfessor algorithm.
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Extending the Simcalc Approach to Grade 8 Mathematics
In a second randomized experiment SRI International (SRI) and its partners replicated the approach of their seventh-grade experiment, extending the SimCalc approach to eighthgrade mathematics.
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Reranking Machine Translation Hypotheses With Structured and Web-based Language Models
In this paper, we investigate the use of linguistically motivated and computationally efficient structured language models for reranking N-best hypotheses in a statistical machine translation system.
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Siri
Apple acquired our spin-off and the iPhone got Siri.
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Web 2.0 in the enterprise
Based on extensive studies of social systems such as del.icio.us and Wikipedia, we have identified a number of factors that need to be managed in order to realize the full benefits of these systems within the enterprise.
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Sampling Stable Properties of Massive Track Datasets
In this paper, we explore ways in which stable properties of sensor observations can be extracted and visualized using a statistical sampling of features from a very large track dataset, using very little ground truth or outside knowledge.
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Thermal cure effects on electrical performance of nanoparticle silver inks
Physical, electrical, and morphological properties of thermally annealed silver nanoparticle thin films are described.
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An exploratory study of the effect of domain knowledge on Internet search behavior: The case of diabetes
This study investigated how domain knowledge, about diabetes, influences the process and outcome of answering complex questions using the internet.
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Extending Boosting for Large Scale Spoken Language Understanding
We propose three methods for extending the Boosting family of classifiers motivated by the real-life problems we have encountered. Our results indicate that it is possible to obtain the same classification performance by using 30% less labeled data when the unlabeled data is utilized through semisupervised learning.
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Radio and Meteor Science Outcomes from Comparisons of Meteor Radar Observations at Amisr Poker Flat, Sondrestrom, and Arecibo
We address these meteor “head-echo” observations issues via the first ever use and analysis of meteor observations from the Poker Flat AMISR (PFISR: 449.3 MHz), Sondrestrom (SRF: 1,290 MHz), and Arecibo (AO: 430 MHz) radars.
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Capturing a Taxonomy of Failures During Automatic Interpretation of Questions Posed in Natural Language
In this paper, we present a study – conducted in the context of the Halo Project – cataloging the types of failures that occur when capturing knowledge from natural language.