Entropy of a source

To accomplish the sad duty of paying homage to Alain Glavieux, I have referred to his biography as much as my own memories. Two points of this biography struck me, although I had hardly paid attention to them until now. I first noted that Alain Glavieux, born in 1949, is the exact contemporary of information theory, since it was based on the articles of Shannon in 1948 and 1949. I also noted that his first research at the Ecole Nationale Supérieure de Télécommunications de Bretagne (ENST Brittany) related to underwater acoustic communications. ...
0p tiramisu0908 15102012 23 2 Download

This paper presents a detailed study of the integration of knowledge from both dependency parses and hierarchical word ontologies into a maximumentropybased tagging model that simultaneously labels words with both syntax and semantics. Our ﬁndings show that information from both these sources can lead to strong improvements in overall system accuracy: dependency knowledge improved performance over all classes of word, and knowledge of the position of a word in an ontological hierarchy increased accuracy for words not seen in the training data. ...
8p hongvang_1 16042013 27 5 Download

Automatic segmentation is important for making multimedia archives comprehensible, and for developing downstream information retrieval and extraction modules. In this study, we explore approaches that can segment multiparty conversational speech by integrating various knowledge sources (e.g., words, audio and video recordings, speaker intention and context). In particular, we evaluate the performance of a Maximum Entropy approach, and examine the effectiveness of multimodal features on the task of dialogue segmentation. ...
8p hongvang_1 16042013 13 1 Download

In this paper we compare two approaches to natural language understanding (NLU). The first approach is derived from the field of statistical machine translation (MT), whereas the other uses the maximum entropy (ME) framework. Starting with an annotated corpus, we describe the problem of NLU as a translation from a source sentence to a formal language target sentence. We mainly focus on the quality of the different alignment and ME models and show that the direct ME approach outperforms the alignment templates method. ...
8p bunthai_1 06052013 24 1 Download

This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy chan nels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems....
306p toad_prince9x 30092011 86 30 Download

A discrete source generates three independent symbols A, B and C with probabilities 0.9, 0.08 and 0.02 respectively. a) Determine the entropy of the source. b) Determine the redundancy of the source. 3.2 a) Consider a source
2p doanhuan87 14122009 52 3 Download

We present a framework for statistical machine translation of natural languages based on direct maximum entropy models, which contains the widely used sourcechannel approach as a special case. All knowledge sources are treated as feature functions, which depend on the source language sentence, the target language sentence and possible hidden variables. This approach allows a baseline machine translation system to be extended easily by adding new feature functions. We show that a baseline statistical machine translation system is signiﬁcantly improved using this approach. ...
8p bunmoc_1 20042013 15 2 Download

This paper extends previous work on extracting parallel sentence pairs from comparable data (Munteanu and Marcu, 2005). For a given source sentence S, a maximum entropy (ME) classiﬁer is applied to a large set of candidate target translations . A beamsearch algorithm is used to abandon target sentences as nonparallel early on during classiﬁcation if they fall outside the beam. This way, our novel algorithm avoids any documentlevel preﬁltering step.
4p hongphan_1 15042013 18 1 Download

There is a continuing need to use recent and consistent multisectoral economic data to support policy analysis and the development of economywide models. Updating and estimating inputoutput tables and social accounting matrices (SAMs), which provides the underlying data framework for this type of model and analysis, for a recent year is a difficult and a challenging problem. Typically, inputoutput data are collected at long intervals (usually five years or more), while national income and product data are available annually, but with a lag.
39p bin_pham 06022013 23 4 Download