computational linguistics for low resource languages
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Computational Linguistics for Low-Resource Languages 27 April 2016 Alexis Palmer palmer@cl.uni-heidelberg.de Course requirements & organization course website: www.cl.uni-heidelberg.de/courses/ss16/ cllrl/ schedule and literature


  1. Computational Linguistics for Low-Resource Languages 27 April 2016 Alexis Palmer palmer@cl.uni-heidelberg.de

  2. Course requirements & organization ✦ course website: www.cl.uni-heidelberg.de/courses/ss16/ cllrl/ ✦ schedule and literature to be posted on course website ✦ your slides will also be posted ✦ language: auf Deutsch geht auch Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 2

  3. Course requirements & organization ✦ reading & participation: read papers prior to relevant meeting, discuss ✦ questions: 2 questions/session, submitted (email) *before noon* on day of class ✦ presentation: presentation of selected paper(s), discussion after ✦ language resource assessment ✦ term paper: original research or in-depth survey and analysis (12-15 pages) Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 3

  4. Student presentations ✦ topic: 1-2 related papers, depending on length and complexity ✦ presentation: scheduling TBD (depends on number of students), roughly 45 minutes for presentation plus discussion ✦ preparation: draft of slides at least one week prior to presentation, meeting for feedback ✦ Sprechstunde: Wednesdays 11:30-12:30, or by appointment (M/W/Th) Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 4

  5. Language resource assessment ✦ goal: determine the state of language resources for a language of your choice ✦ presentation: short presentation (~10 min.), schedule TBD ✦ investigate: digital language resources, any NLP tools? corpora? work on revitalization/ preservation? availability of resources? ✦ TODO: choose your language before 04.05 (email me - first come, first served) Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 5

  6. CL for LRL Questions of interest • What is a low-resource language? (aka less-studied language, resource-poor language, minority language, less-privileged language, ...) Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 6

  7. CL for LRL Questions of interest • What is a low-resource language? (aka less-studied language, resource-poor language, minority language, less-privileged language, ...) • What are the challenges posed by LRLs, and what are the major approaches to addressing these challenges? Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 7

  8. CL for LRL Questions of interest • What is a low-resource language? (aka less-studied language, resource-poor language, minority language, less-privileged language, ...) • What are the challenges posed by LRLs, and what are the major approaches to addressing these challenges? Some major themes • Role of labeled/annotated data • Role of expert/linguistic knowledge (anno & beyond) • Single language vs. “universal” solutions • Resource creation: does it always make sense? how can it be done most efficiently? Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 8

  9. And another question... Why do we care? Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 9

  10. And another question... Why do we care? ✦ practical reasons ✦ cultural reasons ✦ theoretical reasons Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 10

  11. Language endangerment Language loss • Current estimated rate of language death: one every 2 weeks (Crystal 2000) • Half of world’s languages extinct by end this century • UNESCO Endangered Languages Programme (under auspices of Section on Intangible Cultural Heritage) • UN General Assembly: 2008 was International Year of Languages Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 11

  12. Language endangerment Language loss • Current estimated rate of language death: one every 2 weeks (Crystal 2000) • Half of world’s languages extinct by end this century • UNESCO Endangered Languages Programme (under auspices of Section on Intangible Cultural Heritage) • UN General Assembly: 2008 was International Year of Languages UNESCO endangerment status • six levels: safe, unsafe (or vulnerable), definitively endangered, severely endangered, critically endangered • criteria go beyond number of speakers Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 12

  13. Evaluating language endangerment Criteria to consider (UNESCO 2003) • Intergenerational language transmission • Absolute number of speakers • Proportion of speakers within the total population • Trends in existing language domains • Response to new domains and media • Materials for language education and literacy • Governmental and institutional attitudes and policies, including official status and use • Community members’ attitudes toward their own language • Amount and quality of documentation Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 13

  14. Globally, 2488 languages in danger source: UNESCO Interactive Atlas of the World’s Languages in Danger, 2009 edition Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 14

  15. 528 ‘severely endangered’ languages source: UNESCO Interactive Atlas of the World’s Languages in Danger, 2009 edition Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 15

  16. Germany: 13 endangered languages source: UNESCO Interactive Atlas of the World’s Languages in Danger, 2009 edition Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 16

  17. Documenting endangered languages The realities • Most projects are individual or small-group endeavors with very small budgets • Each project seems to find its own workflow • Basic approach: collection, transcription, translation, detailed linguistic annotation (NOT a pipeline) • Tangible end products: orthographies, grammars, dictionaries, language teaching and learning materials, collections of stories, websites, etc. • Such materials support survival of the language • Do they support CL/NLP??? Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 17

  18. Uspanteko : 1320 speakers, ‘unsafe’ status Uspantán, Quiché Department, Guatemala Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 18

  19. Scenario: IGT for Uspanteko Corpus of texts in the Mayan language Uspanteko Produced by OKMA (Oxlajuuj Keej Maya' Ajtz'iib') 66 texts, mostly oral history, personal experience, and stories Total 284K words of transcribed text, 74K words glossed IGT-XML: representational format specifically for IGT # texts # morphemes train 21 38802 dev 5 16792 test 6 18704 Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 19

  20. Types of resources Data • primary: audio, video, texts (archiving) • machine-readable corpora • data with annotations • parallel corpora, comparable corpora Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 20

  21. Types of resources Data • primary: audio, video, texts (archiving) • machine-readable corpora • data with annotations • parallel corpora, comparable corpora Linguistic resources • traditional: grammars, dictionaries, word lists • WordNet, other ontological resources • treebanks, etc. Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 21

  22. Types of resources Data • primary: audio, video, texts (archiving) • machine-readable corpora • data with annotations • parallel corpora, comparable corpora Linguistic resources • traditional: grammars, dictionaries, word lists • WordNet, other ontological resources • treebanks, etc. Tools • user-oriented: spell checkers, input systems, etc. • for NLP: tokenization, POS tagging, parsing, etc. Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 22

  23. Challenges and approaches Having to do with insufficiency of data • create more data? • leverage resource-rich languages • use semi- or unsupervised methods • use rule-based methods • ... Having to do with the nature of the data • use linguistic knowledge to seed unsupervised models • use linguistic knowledge to adapt models/approaches • change the data to look more like familiar languages • ... Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 23

  24. Topics and scheduling

  25. Topics • More complete list of topics & readings on website • Some options ‣ Data/resource creation ‣ POS tagging and morphological analysis ‣ Syntactic analysis ‣ Linguistic universals, linguistic typology ‣ Speech tools for LRLs ‣ Machine translation ‣ Cross-lingual approaches ‣ ... Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 25

  26. Scheduling • 4 May: foundations, Bird/Simons, Bird/Abney [me] • 11 May: possible start of student presentations For next week: • Bird and Abney on building a Universal Corpus • Bird and Simons on requirements for good data • Email me with topic preferences (top 3) - by Monday (02.05) Palmer, ICL, UHeidelberg CL4LRL, 27 April 2016 26

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