Now showing items 1-7 of 7

    • Automatic Characterization of Text Difficulty 

      Medero, Julie
      For the millions of U.S. adults who do not read well enough to complete day-to-day tasks, challenges arise in reading news articles or employment documents, researching health conditions, and a variety of other tasks. ...
    • Data Selection for Statistical Machine Translation 

      Axelrod, Amittai
      Machine translation, the computerized translation of one human language to another, could be used to communicate between the thousands of languages used around the world. Statistical machine translation (SMT) is an approach ...
    • Effective Use of Cross-Domain Parsing in Automatic Speech Recognition and Error Detection 

      Marin, Marius
      Automatic speech recognition (ASR), the transcription of human speech into text form, is used in many settings in our society, ranging from customer service applications to personal assistants on mobile devices. In all ...
    • Graph-based Algorithms for Lexical Semantics and its Applications 

      Wu, Wei (2012-09-13)
      Lexical semantics studies the meaning of words, which is a useful tool for computer-based automatic natural language processing (NLP). This thesis explores graph-based algorithms to learn and apply distributional lexical ...
    • Learning Features for Text Classification 

      Zhang, Bin (2013-07-25)
      Text classification is a general and important machine learning problem. For example, topic classification of text documents has been extensively studied for more than a decade, and simple word features are found to be ...
    • Marine mammal species detection and classification 

      Nichols, Nicole Michelle
      Transient source detection and classification is a particularly challenging problem. Marine mammal vocalizations are a well-known example of these non-stationary sources, including a variety of clicks, pulse bursts and ...
    • Rank and Sparsity in Language Processing 

      Hutchinson, Brian (2013-11-14)
      Language modeling is one of many problems in language processing that have to grapple with naturally high ambient dimensions. Even in large datasets, the number of unseen sequences is overwhelmingly larger than the number ...