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Cross Language IR

Workshop on Challenges in Information Retrieval and Language Modeling Amherst, Massachusetts, September 11-12, 2002. Cross Language IR. Philip Resnik Salim Roukos. 2000. 2005. English. English. Chinese. Source: Global Reach. Global Internet User Population.

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Cross Language IR

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  1. Workshop on Challenges in Information Retrieval and Language Modeling Amherst, Massachusetts, September 11-12, 2002 Cross Language IR Philip Resnik Salim Roukos

  2. 2000 2005 English English Chinese Source: Global Reach Global Internet User Population If cross-language IR is “solved”, where is it???

  3. Opportunities • World Wide Web • Research literature • Intranet applications • Necessities in a post-9/11 world • High volume intelligence analysis • Replacing current Boolean engines (or worse!) • Dealing with the on-paper legacy

  4. Challenge: Role of the User • Query formulation for multilingual doc sets • Key idea: user needed in the query translation loop • Extracting examples from aligned parallel text • Document selection • Key idea: full MT isn’t good enough • Presenting phrases and entities (not “crummy MT”) • Query reformulation • Key idea: user’s understanding of the collection • Largely unexplored: different objective fn for MT

  5. Challenge: Relating MT and IR • It is typical to think of MT and IR as two different processes • Weighting developed with monolingual mindset • Steps toward factoring in translation ambiguity • Toward integrated models • Beyond bags of words (or bags of n-grams) • Translingual search process (> 2 languages) • Use of context introduced by the search process • Document-level analysis, use of document context • Collection-level analysis

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