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DUCKS in a Row

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Aligning open linguistic data through crowdsourcing to build a broad multilingual lexicon. Presentation at the 5th International Conference on Language Documentation and Conservation (ICLDC), Honolulu, 2017

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DUCKS in a Row

  1. 1. Martin Benjamin, Sina Mansour, Karl Aberer DUCKS in a Row: Aligning open linguistic data through crowdsourcing to build a broad multilingual lexicon Vital Voices: Linking Language and Wellbeing 5th International Conference on Language Documentation and Conservation Honolulu, Hawaii - March 5, 2017 1
  2. 2. 2 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  3. 3. kamusi is Swahili for dictionary 3
  4. 4. Goal: A complete matrix of human expression across time and space • As a knowledge resource • As a data resource 4
  5. 5. In service since 1994 (originally at Yale Council on African Studies) International NGO since 2009 • Registered non-profit in USA and Switzerland Academic Home since 2013: EPFL - Swiss Federal Institute of Technology in Lausanne LSIR - Distributed Systems Information Laboratory 5
  6. 6. White House Big Data Initiative: Launch Partner for Building the Data Innovation Ecosystem Networking and Information Technology R&D Program Office of Science and Technology Policy 6
  7. 7. 7 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  8. 8. light 8
  9. 9. light why multilingual dictionaries were impossible 9
  10. 10. light lumineux léger allégé léger why multilingual dictionaries were impossible 10
  11. 11. light lumineux léger allégé léger why multilingual dictionaries were impossible WOLF 02121424-a: léger lumière WOLF 01186408-a: léger WOLF 00993117-a: léger allégé lumière light WOLF 00269989-a: lumière lumineux clair PWN (English Wordnet): light x 47 WOLF (French Wordnet): light = lumière x 44 light = léger x 37 léger = lumière x 36 11
  12. 12. light léger why multilingual dictionaries were impossible lumineux allégé léger 12
  13. 13. why multilingual dictionaries were impossible 13
  14. 14. why multilingual dictionaries were impossible lumineux 14
  15. 15. 15
  16. 16. light fr: lumineux fr: léger fr: allégé fr: léger why multilingual dictionaries were impossible th: ที่แคลอรี่ต่ำ fi: kaloriton sw: pungufu th: เบำ fi: kevyt sw: -epesi th: สว่ำง fi: valoisasw: -enye mwanga th: ซึ่งไร้สำระ fi: tyhjänpäiväinen sw: -a kuchekesha 16
  17. 17. en: light fr: lumineux fr: léger fr: allégé fr: léger why multilingual dictionaries were impossible th: ที่แคลอรี่ต่ำ fi: kaloriton sw: pungufu th: เบำ fi: kevyt sw: -epesi th: สว่ำง fi: valoisasw: -enye mwanga th: ซึ่งไร้สำระ fi: tyhjänpäiväinen sw: -a kuchekesha en: light en: light en: light 17
  18. 18. fr: lumineux fr: léger fr: allégé why multilingual dictionaries were impossible th: ที่แคลอรี่ต่ำ fi: kaloriton sw: pungufu th: เบำ fi: kevyt sw: -epesi th: สว่ำง fi: valoisasw: -enye mwanga light fr: léger th: ซึ่งไร้สำระ fi: tyhjänpäiväinen sw: -a kuchekesha 18
  19. 19. why multilingual dictionaries were impossible 19
  20. 20. light how Kamusi makes a multilingual dictionary possible 20
  21. 21. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 21
  22. 22. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: lumineux fr: léger fr: allégé fr: léger 22
  23. 23. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: lumineux th: สว่ำงfi: valoisasw: -enye mwanga 23
  24. 24. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: léger th: เบำfi: kevytsw: -epesi 24
  25. 25. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: léger th: ซึ่งไร้สำระfi: tyhjänpäiväinensw: -a kuchekesha 25
  26. 26. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: allégé th: ที่แคลอรี่ต่ำfi: kaloritonsw: pungufu 26
  27. 27. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible fr: allégé th: ที่แคลอรี่ต่ำfi: kaloritonsw: pungufu fr: léger th: ซึ่งไร้สำระfi: hölynpölysw: -a kuchekesha fr: léger th: เบำfi: kevytsw: -epesi fr: lumineux th: สว่ำงfi: valoisasw: -enye mwanga 27
  28. 28. how Kamusi makes a multilingual dictionary possible light (not heavy) fr: léger th: เบำfi: kevytsw: -epesi fr: léger (sandy) fr: léger (low alcohol) fr: léger (without much luggage) 28
  29. 29. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 29
  30. 30. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 30
  31. 31. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 31
  32. 32. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 32
  33. 33. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 33
  34. 34. light (not serious) light (not fattening) light (not heavy) light (not dark) how Kamusi makes a multilingual dictionary possible 34
  35. 35. 35
  36. 36. Side by Side Vocabulary Translation: KamusiGOLD vs. Google Translate 36
  37. 37. equivalence • Parallel • Similar • Explanatory translations 37
  38. 38. equivalence • Parallel • Similar • Explanatory hand (English) = main (French) ✓: transitive across languages translations 38
  39. 39. equivalence • Parallel • Similar • Explanatory mkono (Swahili) = hand + arm (English) ⁇ : might be transitive across languages mkono (Swahili) = lima (Hawaiian) translations difference difference translation 39
  40. 40. equivalence • Parallel • Similar • Explanatory (Lexical Gaps) hand (English) = 10.2 cm (most languages) ✗: not transitive across languages translations 40
  41. 41. 41 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  42. 42. • over 100,000 English defined concepts from Princeton Wordnet • Heavy Anglo-American bias • James Cook yes, Kalaniʻōpuʻu-a-Kaiamamao no • about 60 languages aligned via Global Wordnet • over 800,000 English concepts from Wiktionary (in process) • Wiktionary translations to many languages (highly problematic) • other languages (Spanish already) can be pivots when: • aligned to DUCKS • entries have definitions 42
  43. 43. • Players match term from the left with concept on the right • Multiple matches possible • Bad definitions can be flagged • Null matches: on indigenous concepts: 43
  44. 44. Still to come: •Multiplayer – validation by consensus •Manual term searching •DUCKS for FLEx 44
  45. 45. 45 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  46. 46. Switch flippable: • About 60 wordlists and datasets data prepared and permissions granted • SignTyp set for ~20 sign languages • Comparative African Wordlist – pre-aligned, no need for the tool • Any lexicon in a useable digital format that is copyright available 46
  47. 47. What we can work with: • Word lists • part of speech is helpful • Electronic versions of print dictionaries • parse and play • Digital dictionaries • FLEx, etc 47
  48. 48. 48 Kemedzung (Cameroon) from FLEx
  49. 49. 49 Fula (West Africa) ABADA Ar abada, abadaa, abadan DFZ Z<-> never(F) (with negation); ever(F); long ago jamais(D) (avec la négation)(Z); jamais; il y a longtemps Abada mi yahaali. (F): I have never gone. ; Je ne suis jamais allé. abada pati (F): don't ever ; ne faîtes jamais (qqch) gila abada (F): since long ago, forever ; depuis longtemps, toujours 11,000 Fula senses • 332 clearly computable matches • ~7500 matches for DUCKS • ~3000 null matches for manual follow-up
  50. 50. 50
  51. 51. 51 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  52. 52. 52 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  53. 53. 53 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  54. 54. 54 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  55. 55. 55 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  56. 56. 56 1. Multilingual lexicography: problems and principles 2. DUCKS: Data Unified Concept Knowledge Sets a. The tool b. The data 3. Your language in DUCKS
  57. 57. Martin Benjamin, Sina Mansour, Karl Aberer DUCKS in a Row: Aligning open linguistic data through crowdsourcing to build a broad multilingual lexicon Vital Voices: Linking Language and Wellbeing 5th International Conference on Language Documentation and Conservation Honolulu, Hawaii - March 5, 2017 57

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