FlashNormalize: Programming by examples for text normalization

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2015-January, Issue , 2015, Pages 776-783

  Kini, Dileep ^a   Gulwani, Sumit ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INPUT OUTPUT PROGRAMS;

DOMAIN SPECIFIC; DOMAIN-SPECIFIC PROGRAMMING LANGUAGES; HUMAN LANGUAGE; PROGRAMMING BY EXAMPLE; SEARCH ALGORITHMS; TARGET LANGUAGE; TEXT NORMALIZATIONS; TRADITIONAL APPROACHES;

COMPUTATIONAL LINGUISTICS;

EID: 84949804163     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Slobodan Beliga and Sanda Martincic-Ipsic. Text normalization for croatian speech synthesis. In MIPRO, pages 1664-1669. IEEE, 2011.
2. Leonardo Mendonça de Moura and Nikolaj Bjørner. Z3: an efficient SMT solver. In TACAS, 14th International Conference, 2008, pages 337-340, 2008.
3. Pierre Flener and Lubos Popelínsky. On the use of inductive reasoning in program synthesis: Prejudice and prospects. In LOPSTR'94 and META'94, pages 69-87, 1994.
4. Johannes Fürnkranz. Separate-and-conquer rule learning. Artificial Intelligence Review, 13:3-54, 1999.
5. Sumit Gulwani. Dimensions in program synthesis. In Principles and Practice of Declarative Programming, 2010, pages 13-24, 2010.
6. Sumit Gulwani. Automating string processing in spreadsheets using input-output examples. In 38th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, POPL 2011, pages 317-330, 2011.
7. Sumit Gulwani. Synthesis from examples: Interaction models and algorithms. In 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012. Invited talk paper.
8. Danielle Larreur, Françoise Emerard, and F. Marty. Linguistic and prosodic processing for a text-to-speech synthesis system. In EUROSPEECH, pages 1510-1513. ISCA, 1989.
9. Tessa A. Lau, Pedro Domingos, and Daniel S. Weld. Version space algebra and its application to programming by demonstration. In ICML, pages 527-534, 2000.
10. Aditya Krishna Menon, Omer Tamuz, Sumit Gulwani, Butler W. Lampson, and Adam Kalai. A machine learning framework for programming by example. In ICML (1), pages 187-195, 2013.
11. Tom M. Mitchell. Generalization as search. Artif. Intell., 18(2):203-226, 1982.
12. Ronald L. Rivest. Learning decision lists. Machine Learning, 2(3):229-246, 1987.
13. Tim Schlippe, Chenfei Zhu, Jan Gebhardt, and Tanja Schultz. Text normalization based on statistical machine translation and internet user support. In INTERSPEECH, pages 1816-1819. ISCA, 2010.
14. Richard Sproat. Lightly supervised learning of text normalization: Russian number names. In Dilek Hakkani-Tür and Mari Ostendorf, editors, SLT, pages 436-441. IEEE, 2010.