Building the Kamus Besar Bahasa Indonesia (KBBI) Database and Its Online Application David Moeljadi Division of Linguistics and Multilingual Studies, Nanyang Technological University, Singapore The 21st International Symposium on Malay/Indonesian Linguistics (ISMIL 21), Langkawi Research Center 4 May 2017 Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 1 / 35
Outline 1. Kamus Besar Bahasa Indonesia (KBBI) 2. From Word and Excel to Database 3. Features in the Online KBBI V 4. Searching words and making proposals in the Online KBBI V Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 2 / 35
Dictionary terjemahannya;… -- besar kamus yang memuat khazanah secara lengkap, termasuk kosakata istilah dari berbagai bidang ilmu yang bersifat umum;… Kamus Besar Bahasa Indonesia Fifth Edition [1] words usually alphabetically arranged along with information about their idiomatic uses Merriam-Webster Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 3 / 35 1 ka.mus n 1 buku acuan yang memuat kata dan ungkapan, biasanya disusun menurut abjad berikut keterangan tentang makna, pemakaian, atau dic · tio · nary noun 1 a reference source in print or electronic form containing forms, pronunciations, functions, etymologies, meanings, and syntactic and
Kamus Besar Bahasa Indonesia (KBBI) the offjcial dictionary of the Indonesian language published by Badan Pengembangan dan Pembinaan Bahasa (The Language Development and Cultivation Agency) or Badan Bahasa under Ministry of Education and Culture, Republic of Indonesia KBBI Fourth Edition (KBBI IV) [5] had its data in Microsoft Excel and Word fjles Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 4 / 35
Dictionary entries in KBBI Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 5 / 35
Dictionary entries in KBBI Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 6 / 35
Dictionary entries in KBBI Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 7 / 35
Dictionary entries in KBBI Cross-references Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 8 / 35
The Online KBBI before October 2016 data from KBBI III, for simple word search by root ( kata dasar ) the result is exactly in the same format as the one in the printed dictionary the data was not structured, no database Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 9 / 35
From KBBI IV to KBBI V Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 10 / 35
From KBBI IV to KBBI V Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 11 / 35
Smartphone applications Android Play Store iOS App Store Free - gratis! Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 12 / 35
Word and Excel fjles Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 13 / 35
From Word and Excel to Rich Text Format (rtf) Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 14 / 35
From rtf to HyperText Markup Language (html) Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 15 / 35
Using Python… The data was broken down by lemmas, sublemmas ( derived words, compounds, proverbs, and idioms ), labels, pronunciations, defjnitions, examples, scientifjc names, and chemical formulas using regular expression , a language for specifying text search strings which requires a pattern that we want to search for and a corpus of texts to search through [4]. Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 16 / 35
Regular expression Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 17 / 35
KBBI Database SQLite ( www.sqlite.org ) Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 18 / 35
The current state of the KBBI Database Lemmas: 48,141 Derived words: 26,197 Compound words: 30,376 Proverbs: 2,040 Idioms: 267 Entries (total): 108,241 Defjnition sentences: 126,639 Examples: 29,254 Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 19 / 35
What can we get from KBBI Database? I SELECT entri, jenis, makna FROM baseview WHERE entri="sedia payung sebelum hujan"; domain labels) SELECT entri, ragam, bahasa, makna FROM baseview WHERE ragam="ark" and bahasa="Jw"; Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 20 / 35 1 More specifjc and targeted word lookups, e.g. ▶ looking up phrases and MWEs such as compound words, idioms, and proverbs as well as derived words ▶ looking up entries by their labels (part-of-speech, language, and
What can we get from KBBI Database? II sesuatu 557 kata 806 tempat 1,858 proses 573 823 1,595 perihal 2,703 orang Freq. Word Freq. Word alat menjadikan Word 835 4 May 2017 KBBI V Database and Online Moeljadi (LMS, NTU) … … 656 hasil bagian 745 526 mempunyai 664 yang 1,526 tidak 547 pohon Freq. 21 / 35 orang 10,312 8,638 dalam 26,221 dan 6,793 pada untuk 6,110 43,613 yang Freq. Word Freq. Word … atau Word seperti … 7,280 dari 12,016 dengan 3,422 7,756 14,414 tidak 12,410 sebagainya 4,746 tentang 8,537 di Freq. 2 Lexicography analysis ▶ extracting the most frequent words in the defjnition sentences → can be used as a lexical set for the Indonesian learner’s dictionary ▶ extracting the most frequent genus terms in the defjnition sentences
What can we get from KBBI Database? III … 7.6% peN-...-an peng abadi an 1,780 7.2% … … abai an … Total 24,587 100.0% Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 1,873 -an 11.0% meng abadi reduplication in Indonesian Affjx/Redup. Example Number Percentage meN- 5,185 21.1% meN-...-kan meng abadi kan 2,884 11.7% ber- ber abang 2,704 22 / 35 3 Linguistic analysis ▶ grouping the derived words based on affjxes and patterns of 4 Online and offmine applications etc.
The Online KBBI V offjcially launched on 28 October 2016 [1], its user interface and the system were made using ASP.NET ( www.asp.net ). https://kbbi.kemdikbud.go.id/ Dictionary Writing System (DWS) [2] which enables lexicographers to compile and edit dictionary text, as well as to facilitate project management, typesetting, and output to printed or electronic media Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 23 / 35
Some features in the Online KBBI Security system 4 May 2017 KBBI V Database and Online Moeljadi (LMS, NTU) to print format the data in the database print function can convert no print function Print function from web crawlers to protect the data customized security system crawled data can be easily more consistency Before 28 Oct 2016 several inconsistencies Data format examples (crowdsourcing) lemmas, defjnitions, and to add, edit, and deactivate +online public participation board in Badan Bahasa done within the editorial workfmow Lexicographical advanced (+by labels etc.) basic (by roots) Word search After 28 Oct 2016 24 / 35
Lexicographical workfmow in the Online KBBI Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 25 / 35
How a new lemma can be included in KBBI? NOT OK si.ha.lu.an v saling bertemu (cf. ber.se.mu.ka ) NOT OK ojeg n sepeda atau sepeda motor yang ditambangkan dengan cara memboncengkan penumpang atau penyewanya (cf. ojek ) NOT OK la.bu.la.bu.wai n nasi yang diberi air putih ditambah garam atau ikan asin Dora Amalia, p.c. Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 26 / 35 1 Having a unique concept 2 According to the Indonesian spelling rules 3 Euphonic (being pleasing to the ear) 4 Having positive connotations 5 Having a high frequency of use and a broad range of users
Rejected proposal Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 27 / 35
Accepted proposal Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 28 / 35
Current situation (as of 4 May 2017 10:10 am) Word lookups Proposals Popularity (according to Alexa Traffjc Ranks www.alexa.com ) Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 29 / 35 ▶ Total: 3,015,927 (11.16/minute, 669.37/hour, 16,065.00/day) ▶ Total: 9,269 (49.37/day) ▶ Accepted: 2,720 ▶ Rejected: 501 ▶ Being processed: 5,571 ▶ Global rank: 2,695 ▶ Rank in Indonesia: 66
Future work add etymological information connect to corpora link to other lexical resources such as Wordnet Bahasa [3] Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 30 / 35
(1) Searching words in the Online KBBI Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 31 / 35 1 Go to https://kbbi.kemdikbud.go.id 2 Register as a new user 3 Check your email inbox 4 Click the link in the email 5 Search words by: ▶ root words ▶ orthography ▶ labels: parts-of-speech, language, domain, style, type
(2) Making proposals in the Online KBBI Add new words Edit some defjnitions Add new examples Moeljadi (LMS, NTU) KBBI V Database and Online 4 May 2017 32 / 35
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