Corpus ID: 14324763

Linguistic Phenomena, Analyses, and Representations: Understanding Conversion between Treebanks

  title={Linguistic Phenomena, Analyses, and Representations: Understanding Conversion between Treebanks},
  author={Rajesh Bhatt and Owen Rambow and F. Xia},
  • Rajesh Bhatt, Owen Rambow, F. Xia
  • Published in IJCNLP 2011
  • Computer Science
  • Treebanks are valuable resources for natural language processing (NLP). There is much work in NLP which converts treebanks from one representation (e.g., phrase structure) to another (e.g., dependency) before applying machine learning. This paper provides a framework in which to think about the question of when such a conversion is possible. 
    11 Citations
    Creating a Tree Adjoining Grammar from a Multilayer Treebank
    • 3
    • PDF
    Converting SynTagRus Dependency Treebank into Penn Treebank Style
    • 4
    • PDF
    Converting Dependency Structure Into Persian Phrase Structure
    Challenges in Converting between Treebanks : a Case Study from the HUTB
    • 8
    • PDF
    Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank
    • PDF
    Rule-Based Detection and Analysis of Annotation Errors in Dependency Treebank
    Multi-view Chinese Treebanking
    • 20
    • PDF
    The Hindi/Urdu Treebank Project
    • 18


    Converting Dependency Structures to Phrase Structures
    • 134
    • PDF
    A Statistical Parser for Czech
    • 254
    • PDF
    Automatic annotation of the Penn-treebank with LFG f-structureinformation
    • 63
    • PDF
    CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank
    • 403
    • PDF
    Dependency Annotation Scheme for Indian Languages
    • 154
    • PDF
    The Simple Truth about Dependency and Phrase Structure Representations: An Opinion Piece
    • 38
    • PDF
    Adding Semantic Annotation to the Penn TreeBank
    • 246
    • PDF
    Natural language processing : a Paninian perspective
    • 329
    • PDF