Deep Lexical Acquisition of Type Properties in Low-resource Languages: A Case Study in Wambaya

نویسندگان

  • Jeremy Nicholson
  • Rachel Nordlinger
  • Timothy Baldwin
چکیده

We present a case study on applying common methods for the prediction of lexical properties to a low-resource language, namely Wambaya. Leveraging a small corpus leads to a typical high-precision, low-recall system; using the Web as a corpus has no utility for this language, but a machine learning approach seems to utilise the available resources most effectively. This motivates a semi-supervised approach to lexicon extension.

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تاریخ انتشار 2012