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Morphological Analyzers and Other Digital Tools for Uralic Languages

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Morphological Analyzers and Other Digital Tools for Uralic Languages Morphological analyzers and other digital tools for Uralic languages Jack Rueter University of Helsinki, Digital Humanities Some Terminology Word associations Working out a methodology Morphological analyzers under development An outline Where it started Setting up a rule-based description Tools Important players 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 2 Open-source Language form Rule-based Finite-state morphology Some Disambiguation terminology Multiple reusability Linguistics and Language technology Neural networks Transfer learning Active learning 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 3 (1) Keyboards (2) Spellers Word (3) Dictionaries associations (4) ICALL for multi- (5) Translation reusability (6) Text-to-speech (7) …. 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 4 (1) Extract paradigms from grammars, readers and research to build an analyzer. (2) Extract words, part-of-speech information and definitions from existing dictionaries and research. Build on what has already been done (Dutch, French, German, Russian,…) (3) Test analysis coverage on written texts. Are the forms Searching for a unrecognized proper words? (4) Disambiguate morphological analyses based on grammars and methodology research. Point out gaps in descriptions for linguistics (5) Test syntactic disambiguation on example sentences cited in grammatical descriptions of the language. And then retest on text corpora. (6) Make disambiguated sentences public, so others can test. One by-product of these golden standards are treebanks. (7) Use all phases to benefit the speaker and research community 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 5 First transducers of minority Uralic languages after Finnish 1983 Open-source (Kimmo Koskenniemi) morphological Meadow Mari ~1986 (Jorma Luutonen) Komi-Zyrian 1996 (Jack Rueter) descriptions Giellatekno ~2000 begins work with Sami descriptions (Trond for Uralic Trosterud et al) Barents Sea languages, Circum Polar languages languages ~2004-> other Uralic languages 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 6 Balto-Finnic: fit = Meänkieli, fkv = Kveen, izh = Ingrian, krl = Karelian, liv = Livonian, olo = Olonets-Karelian aka Livvi, vep = Minority Uralic Veps, vot = Votic, vro = Võro Sami: sjd = Kildin Sami, sje = Pite Sami, sma = South Sami, sme = language Northern Sami, smj = Lule Sami, smn = Inari Sami, sms = Skolt Sami forms with Mordvin: mdf = Moksha, myv = Erzya finite-state Mari: mhr = Meadow & Eastern Mari, mrj = Hill Mari aka Western morphology Mari development Permic: koi = Komi-Permyak, kpv = Komi-Zyrian, udm = Udmurt Ob Ugrian: kca = Khanty, mns = Mansi Samoyedic: nio = Nganasan , sel = Selkup, yrk = Nenets 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 7 Pertinent majority Uralic languages in majority: est = Estonian, fin = Finnish, hun = languages with Hungarian Auxilliary languages: deu = German, lav = Latvian, nob = finite-state Norwegian Bokmål, rus = Russian, tat = Tatar morphology development 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 8 Setting up a Find a source and use the known morphological information Morphological Find or build a lexicon to propogate this word type analyzer 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 9 Use known paradigmatic information, Ingrian (Junius 1936) 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 10 Make a test file 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 11 Generate an initial paradigm type 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 12 Propogate the lexicon 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 13 Divvun for language community and technology 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 14 Keyboards Giellalt/ Spell checkers: Hunspell, Voikko Click-in-text dictionaries Tools Language learning Text-to-speech Translation 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 15 Click-in-text dictionaries, Giella: https://sanit.oahpa.no/ https://saan.oahpa.no/ , https://sanat.oahpa.no/, https://valks.oahpa.no/, https://muter.oahpa.no/, https://kyv.oahpa.no/, https://vada.oahpa.no/ Giella Language internal and external links Akusanat: Dictionaries https://www.akusanat.com/, https://www.akusanat.com/verdd https://www.akusanat.com/semantics Material CollaBorations: FU-Lab, University of Turku, University of Tartu, University, EKI, University of Vienna, Livones, Võro Instituut 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 16 ICALL at Giella (Giellatekno & Divvun) Language Northern Sami (Flag ship) http://oahpa.no/davvi learning 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 17 Translation Apertium: Shallow-transfer for closely related languages http://wiki.apertium.org/wiki/Main_Page 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 18 Text-to-speech Common Voice (Mozilla) https://voice.mozilla.org/en 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 19 EKI in Tallinn, Estonia http://portaal.eki.ee/sonaraamatud.html FU-Lab in Syktyvkar, Komi RepuBlic https://fu-laB.ru/fulaBteam Giella in Tromsø, Norway Infrastructures http://giellatekno.uit.no/ with intense Mari Research Institute for Language, Literature and History activity http://marnii.ru/ UL Livonian institute http://www.livones.net/liv Võro Instituut https://wi.ee/ 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 20 Aitäh! Thank you! 11/10/19 Jack Rueter, Ph.D. University of Helsinki, Digital Humanities 21.
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