2014/02/22-23 †

• We held a ski tour to Shigakogen:
  

2014/02/13 †

• A paper was accepted for CILC2014:
  • H. Nozawa and D. Kawahara:
    A Self-correcting Approach to Solve Syntactic Ambiguities based on Collocational Strength

2014/02/01 †

• A paper was accepted for CICLing2014:
  • C. Chu, T. Nakazawa, S. Kurohashi:
    Iterative Bilingual Lexicon Extraction from Comparable Corpora with Topical and Contextual Knowledge

2014/01/24 †

• Papers were accepted for LREC2014(2014/05/26-31):
  • G. Jin, D. Kawahara and S. Kurohashi:
    A Framework for Compiling High Quality Knowledge Bases From Raw Corpora
  • J. Richardson, T. Nakazawa and S. Kurohashi:
    Bilingual Dictionary Construction with Transliteration Filtering
    
  • D. Kawahara and M. Palmer:
    Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features
  • T. Izumi, T. Shibata, H. Asano, Y. Matsuo and S. Kurohashi:
    Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations
  • T. Shibata, S. Kohama and S. Kurohashi:
    A Large Scale Database of Strongly-related Events in Japanese
  • C. Chu, T. Nakazawa, S. Kurohashi:
    Constructing a Chinese–Japanese Parallel Corpus from Wikipedia

2013/12/20 †

• A paper was accepted for EACL2014:
  • D. Kawahara, D. W. Peterson, O. Popescu and M. Palmer: Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses

Search Engine Infrastructure based on Deep Natural Language Processing †

The essential purpose of information retrieval is not to retrieve just a relevant document but to acquire the information or knowledge in the document. We have been developing a next-generation infrastructure of information retrieval on the basis of the following techniques of deep natural language processing: precise processing based not on words but on predicate-argument structures, identifying the variety of linguistic expressions and providing a bird's-eye view of search results via clustering and interaction.

Machine Translation †

To bring automatic translation by computers to the level of human translation, we have been studying next-generation methodology of machine translation on the basis of text understanding and a large collection of translation examples. We have already accomplished practical translation on the domain of travel conversation, and constructed a translation-aid system that can be used by experts of patent translation.