Marco Boella


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2012

pdf bib
Idiomatic MWEs and Machine Translation A Retrieval and Representation Model: the AraMWE Project
Giuliano Lancioni | Marco Boella
Fourth Workshop on Computational Approaches to Arabic-Script-based Languages

A preliminary implementation of AraMWE, a hybrid project that includes a statistical component and a CCG symbolic component to extract and treat MWEs and idioms in Arabic and Eng- lish parallel texts is presented, together with a general sketch of the system, a thorough description of the statistical component and a proof of concept of the CCG component.