Sanghoun Song

Building an HPSG-based Indonesian Resource Grammar (INDRA)

This paper presents the creation and the initial stage development of a broadcoverage Indonesian Resource Grammar (INDRA) within the framework of Head Driven Phrase Structure Grammar (HPSG) (Pollard and Sag, 1994) and Minimal Recursion Semantics (MRS) (Copestake et al., 2005). At the present stage, INDRA focuses on verbal constructions and subcategorization since they are fundamental for argument and event structure. Verbs in INDRA were semi-automatically acquired from the English Resource Grammar (ERG) (Flickinger, 2000) via Wordnet Bahasa (Nurril Hirfana Mohamed Noor et al., 2011; Bond et al., 2014). In the future, INDRA will be used in the development process of machine translation. A preliminary evaluation of INDRA on the MRS test-suite shows promising coverage.

Representing Honorifics via Individual Constraints

Within the context of grammar engineering, modelling honorifics has been regarded as one of the components for improving machine translation and anaphora resolution. Using the HPSG and MRS framework, this paper provides a computational model of honorifics. The present study incorporates the honorific information into the meaning representation system via Individual Constraints with an eye toward semantics-based processing.

An HPSG-based Shared-Grammar for the Chinese Languages: ZHONG [|]

This paper introduces our attempts to model the Chinese language using HPSG and MRS. Chinese refers to a family of various languages including Mandarin Chinese, Cantonese, Min, etc. These languages share a large amount of structure, though they may differ in orthography, lexicon, and syntax. To model these, we are building a family of grammars: ZHONG [ ]. This grammar contains instantiations of various Chinese languages, sharing descriptions where possible. Currently we have prototype grammars for Cantonese and Mandarin in both simplified and traditional script, all based on a common core. The grammars also have facilities for robust parsing, sentence generation, and unknown word handling.

Online Search Interface for the Sejong Korean-Japanese Bilingual Corpus and Auto-interpolation of Phrase Alignment

A user-friendly interface to search bilingual resources is of great help to NLP developers as well as pure-linguists. Using bilingual resources is difficult for linguists who are unfamiliar with computation, which hampers capabilities of bilingual resources. NLP developers sometimes need a kind of workbench to check their resources. The online interface this paper introduces can satisfy these needs. In order to implement the interface, this research deals with how to align Korean and Japanese phrases and interpolates them into the original bilingual corpus in an automatic way.