Building Cendana: a Treebank for Informal Indonesian

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F19%3A73596472" target="_blank" >RIV/61989592:15210/19:73596472 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333176358" target="_blank" >https://obd.upol.cz/id_publ/333176358</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Building Cendana: a Treebank for Informal Indonesian
Original language description
This paper introduces Cendana, a treebank for informal Indonesian. The corpus is from a subset of online chat data between customer service staff and customers at Traveloka (traveloka.com), an online travel agency (OTA) from Indonesia that provides airline ticketing and hotel booking services. Lines of conversation text are parsed using the Indonesian Resource Grammar (INDRA) (Moeljadi et al., 2015), a computational grammar for Indonesian in the Head-Driven Phrase Structure Grammar (HPSG) framework (Pollard and Sag, 1994; Sag et al., 2003) and Minimal Recursion Semantics (MRS) (Copestake et al., 2005). The annotation was done using Full Forest TreeBanker (FFTB) (Packard, 2015). Our purpose is to create a treebank, as well as to develop INDRA for informal Indonesian. Testing on 2,000 lexically dense sentences, the coverage is 64.1% and 715 items or 35.8% was treebanked, with correct syntactic parses and semantics. INDRA has been developed by adding 6,741 new lexical items and 22 new rules, especially the ones for informal Indonesian. The treebank data was employed to build a Feature Forest-based Maximum Entropy Model Trainer. Testing against the annotated data, the precision was around 90%. Moreover, we leveraged the treebank data to develop a POS tagger and present benchmark results evaluating the same.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation
ISBN
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ISSN
2619-7782
e-ISSN
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Number of pages
9
Pages from-to
"156–164"
Publisher name
Waseda Institute for the Study of Language and Information
Place of publication
Tokyo
Event location
Hokodate
Event date
Sep 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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