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I3rab: A New Arabic Dependency Treebank Based on Arabic Grammatical Theory

What it is about

The authors ask whether an Arabic treebank built on the traditional grammar (i'rab, "theory of the governor") parses better than treebanks that copy English or Czech conventions. The I3rab pilot makes two changes. First, the head of a sentence is the first word, so a nominal sentence is headed by its noun, not by a verb placed later; the verb stays the head when the sentence starts with one. Second, joined and covert (dropped) subject pronouns get an explicit node. The grammar also distinguishes verbal from nominal sentences by the first word. The new treebank is compared with a subset of the Prague Arabic Dependency Treebank that has a comparable level of detail, and the authors report a parsing improvement of up to 7.5% in UAS and 18.8% in LAS. The paper's own tables are small hand-worked examples of i'rab for a few sentences.

Ideas

For Mova

I1 is a rule for macula prag and Syntax: the clause and the sentence, tested with macula compare. I2 goes into Pronouns, particles and prepositions and The verb, with the verb-suffix analysis in treebanks/hbo/ptnk as the check. I3 is a reporting rule for every macula compare run.

Topics: Treebanks

Cite

The paper itself, not this card. BibTeX from the library's record of the work. arXiv 2007.05772

@misc{halabi2020i3rab,
  title = {{I3rab: A New Arabic Dependency Treebank Based on Arabic Grammatical Theory}},
  author = {Halabi, Dana and Fayyoumi, Ebaa and Awajan, Arafat},
  year = {2020},
  eprint = {2007.05772},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2007.05772}
}

References

64 references, 6 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Al-Sughaiyer, Imad A and Ibrahim A Al-Kharashi. 2004. Arabic morphological analysis techniques: A comprehensive survey. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 55(3):189–213. find
  2. Alosh, Mahdi. 2005. Using Arabic: A guide to contemporary usage. Cambridge University Press Cambridge. find
  3. Alotaiby, Fahad, Salah Foda, and Ibrahim Alkharashi. 2010. Clitics in Arabic language: a statistical study. In Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation. find our card
  4. Ambati, Vamshi. 2008. Dependency structure trees in syntax based machine translation. In Adv. MT Seminar Course Report, volume 137. find
  5. Attia, Mohammed and Harold Somers. 2008. Handling Arabic morphological and syntactic ambiguity within the LFG framework with a view to machine translation, volume 279. University of Manchester Manchester. find
  6. Attia, Mohammed A. 2007. Arabic tokenization system. In Proceedings of the 2007 workshop on computational approaches to Semitic languages: Common issues and resources, pages 65–72, Association for Computational Linguistics. find
  7. Awajan, Arafat. 2007. Arabic text preprocessing for the natural language processing applications. Arab Gulf Journal of Scientific Research, 25(4):179–189. find
  8. Awajan, Arafat. 2015. Keyword extraction from Arabic documents using term equivalence classes. ACM Transactions on Asian and Low-Resource Language Information Processing, 14(2):7. find
  9. Awajan, Arafat. 2016. Semantic similarity based approach for reducing Arabic texts dimensionality. International Journal of Speech Technology, 19(2):191–201. find
  10. Bengoetxea, Kepa and Koldo Gojenola. 2010. Application of different techniques to dependency parsing of basque. In Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, pages 31–39, Association for Computational Linguistics. find
  11. Bharati, Akshar, Vineet Chaitanya, Rajeev Sangal, and KV Ramakrishnamacharyulu. 1995. Natural language processing: a Paninian perspective. Prentice-Hall of India New Delhi. find
  12. Bikel, Daniel M. 2004. On the parameter space of generative lexicalized statistical parsing models. Citeseer. Böhmová, Alena, Jan Hajiˇc, Eva Hajiˇcová, and Barbora Hladká. 2003. The Prague dependency treebank. In Treebanks. Springer, pages 103–127. find
  13. Bouma, Gosse, Jori Mur, Gertjan Van Noord, Lonneke Van Der Plas, and Jörg Tiedemann. 2005. Question answering for dutch using dependency relations. In Workshop of the Cross-Language Evaluation Forum for European Languages, pages 370–379, Springer. find
  14. Buchholz, Sabine and Erwin Marsi. 2006. Conll-x shared task on multilingual dependency parsing. In Proceedings of the tenth conference on computational natural language learning, pages 149–164, Association for Computational Linguistics. find our card
  15. Chomsky, Noam. 1993. Lectures on government and binding: The Pisa lectures. 9. Walter de Gruyter. find
  16. Chomsky, Noam and DavidW Lightfoot. 2002. Syntactic structures. Walter de Gruyter. find
  17. Civit, M, N Bufí, and P Valverde. 2004. Cat3lb: a treebank for Catalan with word sense annotation. In 3rd Workshop on Treebanks and Linguistic Theories. Tuebingen, Germany. find
  18. Civit, Montserrat and Ma Antònia Martí. 2004. Building cast3lb: A Spanish treebank. Research on Language and Computation, 2(4):549–574. find
  19. Collins, Michael. 2003. Head-driven statistical models for natural language parsing. Computational linguistics, 29(4):589–637. find our card
  20. Comas, Pere R, Jordi Turmo, and Lluís Márquez. 2010. Using dependency parsing and machine learning for factoid question answering on spoken documents. In Eleventh Annual Conference of the International Speech Communication Association. find
  21. Dukes, Kais. 2015. Statistical parsing by machine learning from a classical Arabic treebank. arXiv preprint arXiv:1510.07193. ↗ our card
  22. Dukes, Kais and Tim Buckwalter. 2010. A dependency treebank of the Quran using traditional Arabic grammar. In 2010 the 7th International Conference on Informatics and Systems (INFOS), pages 1–7, IEEE. find
  23. Dukes, Kais and Nizar Habash. 2011. One-step statistical parsing of hybrid dependency-constituency syntactic representations. In Proceedings of the 12th International Conference on Parsing Technologies, pages 92–103, Association for Computational Linguistics. find
  24. Farghaly, Ali and Khaled Shaalan. 2009. Arabic natural language processing: Challenges and solutions. ACM Transactions on Asian Language Information Processing (TALIP), 8(4):14. find
  25. Frank, Anette, Annie Zaenen, and Erhard Hinrichs. 2012. Treebanks: Linking linguistic theory to computational linguistics. Linguistic Issues in Language Technology, 7(1). find
  26. Galley, Michel and Christopher D Manning. 2009. Quadratic-time dependency parsing for machine translation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2, pages 773–781, Association for Computational Linguistics. find
  27. Gillenwater, Jennifer, Xiaodong He, Jianfeng Gao, and Li Deng. 2013. End-to-end learning of parsing models for information retrieval. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 3312–3316, IEEE. find
  28. Habash, Nizar and Ryan M Roth. 2009. CATiB: The Columbia Arabic treebank. In Proceedings of the ACL-IJCNLP 2009 conference short papers, pages 221–224, Association for Computational Linguistics. find our card
  29. Hajic, Jan, Otakar Smrz, Petr Zemánek, Jan Šnaidauf, and Emanuel Beška. 2004. Prague arabic dependency treebank: Development in data and tools. In Proc. Of the NEMLAR Intern. Conf. on Arabic Language Resources and Tools, pages110–117. find
  30. Halabi, Dana, Arafat Awajan, and Ebaa Fayyoumi. 2017. Arabic lfg-inspired dependency treebank. In 2017 International Conference on New Trends in Computing Sciences (ICTCS), pages 207–215, IEEE. find
  31. Han, Chung-hye, Na-Rae Han, Eon-Suk Ko, Martha Palmer, and Heejong Yi. 2002. Penn korean treebank: Development and evaluation. In Proceedings of the 16th Pacific Asia Conference on Language, Information and Computation, pages 69–78. find
  32. Johan Hall, Jens Nilsson and Joakim Nivre. 2013. Malteval. http://www.maltparser.org/malteval.html. ↗
  33. Katz-Brown, Jason, Slav Petrov, Ryan McDonald, Franz Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, and Hideto Kazawa. 2011. Training a parser for machine translation reordering. In Proceedings of the conference on empirical methods in natural language processing, pages 183–192, Association for Computational Linguistics. find
  34. Kübler, Sandra, Ryan McDonald, and Joakim Nivre. 2009. Dependency parsing. Synthesis Lectures on Human Language Technologies, 1(1):1–127. find
  35. Kulick, Seth, Ryan Gabbard, and Mitchell Marcus. 2006. Parsing the Arabic treebank: Analysis and improvements. In Proceedings of the Treebanks and Linguistic Theories Conference, pages 31–42. find
  36. LDC. 2004a. Buckwalter Arabic morphological analyzer version. https://catalog.ldc.upenn.edu/LDC2004L02. ↗
  37. LDC. 2004b. Prague Arabic dependency treebank 1.0. https://catalog.ldc.upenn.edu/docs/LDC2004T23/. ↗
  38. LDC. 2007. Prague Arabic dependency treebank ++. http://padt-online.blogspot.com/2007/01/conll-shared-task-2007.html. ↗
  39. LDC. 2018. 2007 CoNLL shared task – Arabic and English. https://catalog.ldc.upenn.edu/LDC2018T08. ↗
  40. Li, Huiying and Feifei Xu. 2016. Question answering with dbpedia based on the dependency parser and entity-centric index. In 2016 International Conference on Computational Intelligence and Applications (ICCIA), pages 41–45, IEEE. find
  41. Lynn, Teresa et al. 2016. Irish dependency treebanking and parsing. find
  42. Maamouri, Mohamed, Ann Bies, Tim Buckwalter, and Wigdan Mekki. 2004. The Penn Arabic treebank: Building a large-scale annotated Arabic corpus. In NEMLAR conference on Arabic language resources and tools, volume 27, pages 466–467, Cairo. find
  43. Maamouri, Mohamed, Ann Bies, Sondos Krouna, Fatma Gaddeche, and Basma Bouziri. 2009. Penn Arabic treebank guidelines. Linguistic Data Consortium. Marcus, Mitchell, Beatrice Santorini, and Mary Marcinkiewicz. 2006. Building a large annotated corpus of English: The Penn tree bank" in the distributed Penn tree bank project CD-ROM. Linguistic Data Consortium, University of Pennsylvania. find
  44. McCaffery, Martin and Mark-Jan Nederhof. 2016. Dted: evaluation of machine translation structure using dependency parsing and tree edit distance. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, volume 2, pages 491–498. find our card
  45. Nilsson, Jens and Joakim Nivre. 2008. MaltEval: an evaluation and visualization tool for dependency parsing. In LREC. Nivre. 2018. MaltParser. http://www.maltparser.org/. ↗
  46. Nivre, Joakim. 2005. Dependency grammar and dependency parsing. MSI report, 5133(1959):1–32. find
  47. Nivre, Joakim. 2009. Parsing Indian languages with MaltParser. Proceedings of the ICON09 NLP Tools Contest: Indian Language Dependency Parsing, pages 12–18. find
  48. Nivre, Joakim, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. 2007a. The conll 2007 shared task on dependency parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). find
  49. Nivre, Joakim, Johan Hall, and Jens Nilsson. 2006. Maltparser: A data-driven parser-generator for dependency parsing. In LREC, volume 6, pages 2216–2219. find
  50. Nivre, Joakim, Johan Hall, Jens Nilsson, Atanas Chanev, Gül¸sen Eryigit, Sandra Kübler, Svetoslav Marinov, and Erwin Marsi. 2007b. Maltparser: A language-independent system for data-driven dependency parsing. Natural Language Engineering, 13(2):95–135. find
  51. Owczarzak, Karolina, Josef Van Genabith, and AndyWay. 2007. Dependency-based automatic evaluation for machine translation. In Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation, pages 80–87, Association for Computational Linguistics. find
  52. Owens, Jonathan. 1988. The foundations of grammar: an introduction to medieval Arabic grammatical theory, volume 45. John Benjamins Publishing. find
  53. Owens, Jonathan. 1990. Early Arabic grammatical theory: heterogeneity and standardization, volume 53. John Benjamins Publishing. find
  54. Ryding, Karin C. 2005. A reference grammar of modern standard Arabic. Cambridge university press. find
  55. Sima’an, Khalil, Alon Itai, YoadWinter, Alon Altman, and Noa Nativ. 2001. Building a tree-bank of modern hebrew text. Traitement Automatique des Langues, 42(2):247–380. find
  56. Smrz, Otakar, Viktor Bielicky, and Jan Hajic. 2008. Prague Arabic dependency treebank: A word on the million words. find
  57. Smrz, Otakar and Petr Pajas. 2004. MorphoTrees of Arabic and their annotation in the Tred environment. In Proceedings of the NEMLAR International Conference on Arabic Language Resources and Tools, pages 38–41. find
  58. Smrz, Otakar, Jan Šnaidauf, and Petr Zemánek. 2002. Prague dependency treebank for arabic: Multi-level annotation of Arabic corpus. In Proc. of the Intern. Symposium on Processing of Arabic, pages 147–155. find
  59. Solberg, Per Erik, Arne Skjærholt, Lilja Øvrelid, Kristin Hagen, and Janne Bondi Johannessen. 2014. The Norwegian dependency treebank. find
  60. Tratz, Stephen C. 2016. Arl Arabic dependency treebank. Technical report, US Army Research Laboaratory Adelphi United States. find
  61. Volk, Martin, Sofia Gustafson-Capková, David Hagstrand, and Heli Uibo. 2005. Teaching treebanking. Nordisk Sprogteknologi 2004: 2004: Aarbog for Nordisk Sprogteknologisk Forskningsprogram 2000-2004, page 143. find
  62. Xia, Fei and Martha Palmer. 2001. Converting dependency structures to phrase structures. In Proceedings of the first international conference on Human language technology research, pages 1–5, Association for Computational Linguistics. find
  63. Xue, Nianwen, Xiuhong Zhang, Zixin Jiang, Martha Palmer, Fei Xia, Fu-Dong Chiou, and Meiyu Chang. 2013. Chinese treebank 8.0 ldc2013t21. Linguistic Data Consortium, Philadelphia. find
  64. Yu, Hui, Xiaofeng Wu, Wenbin Jiang, Qun Liu, and Shouxun Lin. 2015. An automatic machine translation evaluation metric based on dependency parsing model. arXiv preprint arXiv:1508.01996. ↗

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