Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing

201 Pages·2017·7.13 MB·English

WSSANLP 2016
6th Workshop on South and Southeast Asian Natural
Language Processing
Proceedings of the Conference
December 11-16, 2016
Osaka, Japan
Copyrightofeachpaperstayswiththerespectiveauthors(ortheiremployers).
ISBN978-4-87974-705-1
ii
Preface
Welcometothe6thWorkshoponSouthandSoutheastAsianNaturalLanguageProcessing(WSSANLP
-2016),acollocatedeventatthe26thInternationalConferenceonComputationalLinguistics(COLING
2016),December11-16,2016atOsakaInternationalConventionCenter,Osaka,Japan.
SouthandSoutheastAsiacompriseofthecountries,Afghanistan,Bangladesh,Bhutan,India,Maldives,
Nepal,PakistanandSriLanka. SoutheastAsia,ontheotherhand,consistsofBrunei,Burma,Cambodia,
East Timor, Indonesia, Laos, Malaysia, Philippines, Singapore, Thailand and Vietnam. This area is the
hometothousandsoflanguagesthatbelongtodifferentlanguagefamilieslikeIndo-Aryan,Indo-Iranian,
Dravidian,Sino-Tibetan,Austro-Asiatic,Kradai,Hmong-Mien,etc. Intermsofpopulation,SouthAsian
andSoutheastAsiarepresent35percentofthetotalpopulationoftheworldwhichmeansasmuchas2.5
billionspeakers. Someofthelanguagesoftheseregionshavealargenumberofnativespeakers: Hindi
(5thlargestaccordingtonumberofitsnativespeakers), Bengali(6th), Punjabi(12th), Tamil(18th), and
Urdu(20th).
As internet and electronic devices including PCs and hand held devices including mobile phones have
spread far and wide in the region, it has become imperative to develop language technology for these
languages. Itisimportantforeconomicdevelopmentaswellasforsocialandindividualprogress.
Acharacteristicoftheselanguagesisthattheyareunder-resourced. Thewordsoftheselanguagesshow
rich variations in morphology. Moreover they are often heavily agglutinated and synthetic, making
segmentation an important issue. The intellectual motivation for this workshop comes from the need to
explore ways of harnessing the morphology of these languages for higher level processing. The task of
morphology, however, in South and Southeast Asian Languages is intimately linked with segmentation
fortheselanguages.
ThegoalofWSSANLPis:
•ProvidingaplatformtolinguisticandNLPcommunitiesforsharinganddiscussingideasandworkon
SouthandSoutheastAsianlanguagesandcombiningefforts.
• Development of useful and high quality computational resources for under resourced South and
SoutheastAsianlanguages.
We are delighted to present to you this volume of proceedings of the 6th Workshop on South and
SoutheastAsianNaturalLanguageProcessing. Wehavereceivedtotal37submissionsinthecategories
oflongpaperandshortpaper. Onthebasisofourreviewprocess,wehavecompetitivelyselected18full
papersand3shortpapers.
Welookforwardtoaninvigoratingworkshop.
DekaiWu(ChairWSSANLP-2016),
HongKongUniversityofScienceandTechnology,HongKong
PushpakBhattacharyya(Co-ChairWSSANLP-2016),
IndianInstituteofTechnologyPatna,India
iii

WorkshopChair
DekaiWu,HongKongUniversityofScienceandTechnology,HongKong
WorkshopCo-Chair
PushpakBhattacharyya,IndianInstituteofTechnologyPatna,India
KeyNoteSpeaker
AlainDésoulières,INALCO-CERLOM,France
Organisers
M.G.AbbasMalik,AucklandUniversityofTechnology,Auckland,NewZealand(chair)
SadafAbdulRauf,FatimaJinnahWomenUniversity,Islamabad,Pakistan
MahsaMohaghegh,UnitecInstituteofTechnology,Auckland,NewZealand
ProgrammeCommittee
SadafAbdulRauf,FatimaJinnahWomenUniversity,Pakistan
NaveedAfzal,CardiovascularBiomarkersLaboratory,MayoClinic,USA
TafseerAhmed,DHASuffaUniversity,Pakistan
AasimAli,UniversityofthePunjab,Pakistan
JalalS.Alowibdi,UniversityofJeddah,SaudiArabia
SalehAlshomrani,UniversityofJeddah,SaudiArabia
AmerAlzaidi,UniversityofJeddah,SaudiArabia
M.WaqasAnwar,COMSATSInstituteofTechnologyAbbottabad,Pakistan
BalKrishnaBal,KathmanduUniversity,Nepal
SivajiBandyopadhyay,JadavpurUniversity,India
VincentBerment,GETALP-LIGandINALCO,France
LaurentBesacier,UniversityofGrenoble,France
PushpakBhattacharyya,IndianInstituteofTechnologyPatna,India
HervéBlanchon,UniversityofGrenoble,France
ChristianBoitet,UniversityofGrenoble,France
MiriamButt,UniversityofKonstanz,Germany
EricCastelli,InternationalResearchCenterMICA,Vietnam
AmitavaDas,IndianInstituteofInformationTechnology,SriCity,India
AlainDesoulieres,INALCO-CERLOM,France
AlexanderGelbukh,CenterforComputingResearch,CIC,Mexico
Choochart Haruechaiyasak, National Electronics and Computer Technology Center (NECTEC),
Thailand
v
SarmadHussain,UniversityofEngineeringandTechnologyLahore,Pakistan
AravindK.Joshi,UniversityofPennsylvania,USA
AmbaKulkarni,UniversityofHyderabad,India
GurpreetSinghLehal,PunjabiUniversity,Patiala,India
HaizhouLi,InstituteforInfocommResearch,Singapore
M.G.AbbasMalik,AucklandUniversityofTechnology,NewZealand
MahsaMohaghegh,UnitecInstituteofTechnology,NewZealand
AjitNarayanan,AucklandUniversityofTechnology,NewZealand
K.V.S.Prasad,ChalmersUniversityofTechnology,Sweden
BaliRanaivo-Malançon,UniversityofMalaysiaSarawak,Malaysia
PaoloRosso,UniversitatPolitècnicadeValència,Spain
HudaSarfraz,BeaconhouseNationalUniversity,Pakistan
Hossein Sarrafzadeh, High Technology Transdisciplinary Research Network, Unitec Auckland,
NewZealand
L.Sobha,AU-KBCResearchCentre,India
Virach Sornlertlamvanich, TCL, National Institute of Information and Communication Technol-
ogy,Thailand
RuvanWeerasinghe,UniversityofColomboSchoolofComputing,SriLanka
vi
Table of Contents
FullPapers
CompoundTypeIdentificationinSanskrit: WhatRolesdotheCorpusandGrammarPlay?
AmrithKrishna,PavankumarSatuluri,ShubhamSharma,ApurvKumarandPawanGoyal......1
ComparisonofGrapheme-to-PhonemeConversionMethodsonaMyanmarPronunciationDictionary
YeKyawThu,WinPaPa,YoshinoriSagisakaandNaotoIwahashi...........................11
Character-AwareNeuralNetworksforArabicNamedEntityRecognitionforSocialMedia
MouradGridach........................................................................23
DevelopmentofaBengaliparserbycross-lingualtransferfromHindi
AyanDas,AgnivoSahaandSudeshnaSarkar..............................................33
Sinhala Short Sentence Similarity Calculation using Corpus-Based and Knowledge-Based Similarity
Measures
JcsKadupitiya,SurangikaRanathungaandGihanDias.....................................44
EnrichingSourceforEnglish-to-UrduMachineTranslation
BushraJawaid,AmirKamranandOndˇrejBojar............................................54
TheIMAGACT4ALLOntologyofAnimatedImages: ImplicationsforTheoreticalandMachineTransla-
tionofActionVerbsfromEnglish-IndianLanguages
PitambarBehera,SharminMuzaffar,Atulkr. OjhaandGirishJha...........................64
Crowdsourcing-basedAnnotationofEmotionsinFilipinoandEnglishTweets
FerminRobertoLapitan,RizaTheresaBatista-NavarroandEliezerAlbacea..................74
SentimentAnalysisofTweetsinThreeIndianLanguages
ShantaPhani,ShibamouliLahiriandArindamBiswas......................................83
DealingwithLinguisticDivergencesinEnglish-BhojpuriMachineTranslation
PitambarBehera,NehaMouryaandVandanaPandey.......................................93
ThedevelopmentofawebcorpusofHindilanguageandcorpus-basedcomparativestudiestoJapanese
MikiNishiokaandShiroAkasegawa .................................................... 104
AutomaticCreationofaSentenceAlignedSinhala-TamilParallelCorpus
RiyafaAbdul Hameed, Nadeeshani Pathirennehelage, AnushaIhalapathirana, MaryamZiyad Mo-
hamed,SurangikaRanathunga,SanathJayasena,GihanDiasandSandarekaFernando ............ 114
Clustering-basedPhoneticProjectioninMismatchedCrowdsourcingChannelsforLow-resourcedASR
WendaChen,MarkHasegawa-Johnson,NancyChen,PreethiJyothiandLavVarshney.......123
ImprovingtheMorphologicalAnalysisofClassicalSanskrit
OliverHellwig........................................................................132
QueryTranslationforCross-LanguageInformationRetrievalusingMultilingualWordClusters
PaheliBhattacharya,PawanGoyalandSudeshnaSarkar...................................142
vii
Astudyofattention-basedneuralmachinetranslationmodelonIndianlanguages
AyanDas,PranayYerra,KenKumarandSudeshnaSarkar.................................153
ComprehensivePart-Of-SpeechTagSetandSVMbasedPOSTaggerforSinhala
SandarekaFernando,SurangikaRanathunga,SanathJayasenaandGihanDias...............163
ShortPapers
AlignMe: AframeworktogenerateParallelCorpusUsingOCRsandBilingualDictionaries
PriyamBakliwal,DevadathVVandCVJawahar........................................173
LearningIndonesian-ChineseLexiconwithBilingualWordEmbeddingModelsandMonolingualSignals
XinyingQiuandGangqinZhu..........................................................178
CreatingrichonlinedictionariesfortheLao–Frenchlanguagepair,reusableforMachineTranslation
VincentBerment ...................................................................... 184
viii
Conference Program
Sunday,December11,2016
WSSANLP2016Openning
9:00–9:10 OpenningRemarks
9:10–10:00 KeyNotebyAlainDésoulières,INALCO,CERLOM,France
10:00–10:20 CoffeeandTeaBreak
10:20–12:00 WSSANLPSession1: OralPresentations
SessionChair: HervéBlanchon
10:20–10:40 CompoundTypeIdentificationinSanskrit: WhatRolesdotheCorpusandGrammar
Play?
AmrithKrishna,PavankumarSatuluri,ShubhamSharma,ApurvKumarandPawan
Goyal
10:40–11:00 Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pro-
nunciationDictionary
YeKyawThu,WinPaPa,YoshinoriSagisakaandNaotoIwahashi
11:00–11:20 Character-AwareNeuralNetworksforArabicNamedEntityRecognitionforSocial
Media
MouradGridach
11:20–11:40 DevelopmentofaBengaliparserbycross-lingualtransferfromHindi
AyanDas,AgnivoSahaandSudeshnaSarkar
11:40–12:00 SinhalaShortSentenceSimilarityCalculationusingCorpus-BasedandKnowledge-
BasedSimilarityMeasures
JcsKadupitiya,SurangikaRanathungaandGihanDias
12:00–13:30 LunchBreak
ix
Sunday,December11,2016(continued)
13:30–14:55 WSSANLPSession2: PosterPresentations
SessionChair: KVSPrasad
FullPapers
EnrichingSourceforEnglish-to-UrduMachineTranslation
BushraJawaid,AmirKamranandOndˇrejBojar
The IMAGACT4ALL Ontology of Animated Images: Implications for Theoretical
andMachineTranslationofActionVerbsfromEnglish-IndianLanguages
PitambarBehera,SharminMuzaffar,Atulkr. OjhaandGirishJha
Crowdsourcing-basedAnnotationofEmotionsinFilipinoandEnglishTweets
FerminRobertoLapitan,RizaTheresaBatista-NavarroandEliezerAlbacea
SentimentAnalysisofTweetsinThreeIndianLanguages
ShantaPhani,ShibamouliLahiriandArindamBiswas
DealingwithLinguisticDivergencesinEnglish-BhojpuriMachineTranslation
PitambarBehera,NehaMouryaandVandanaPandey
ThedevelopmentofawebcorpusofHindilanguageandcorpus-basedcomparative
studiestoJapanese
MikiNishiokaandShiroAkasegawa
AutomaticCreationofaSentenceAlignedSinhala-TamilParallelCorpus
Riyafa Abdul Hameed, Nadeeshani Pathirennehelage, Anusha Ihalapathirana,
MaryamZiyadMohamed,SurangikaRanathunga,SanathJayasena,GihanDiasand
SandarekaFernando
ShortPapers
Align Me: A framework to generate Parallel Corpus Using OCRs and Bilingual
Dictionaries
PriyamBakliwal,DevadathVVandCVJawahar
LearningIndonesian-ChineseLexiconwithBilingualWordEmbeddingModelsand
MonolingualSignals
XinyingQiuandGangqinZhu
Creating rich online dictionaries for the Lao–French language pair, reusable for
MachineTranslation
VincentBerment
x