Automatic Identification of Persian Light Verb Constructions
Conference paper
Abstract
Multiword expressions pose a challenge to the development of large-scale, semantically-rich Natural Language Processing (NLP) systems. We use a bilingual parallel corpus for automatically extracting Light Verb Constructions (LVCs), a very common type of multiword expressions in many languages, including Persian. Using two classifiers, we investigate the usefulness of seven linguistically-informed features for automatically identifying Persian LVCs. To our knowledge, this is the first attempt at the automatic detection of a broad class of Persian LVCs. Results of our experiments show that the proposed features are reasonably successful at the task.
Keywords
Machine Translation Area Under Curve Statistical Machine Translation Common Link Alignment Direction
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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