A word-grammar based morphological analyzer for agglutinative languages

Aduriz, Itziar; Agirre, Eneko; Aldezabal, Izaskun; Alegria, Iñaki; Arregi, Xabier; Arriola, Jose Maria; Artola, Xabier; Gojenola, Koldo; Maritxalar, A.; Sarasola, Kepa; Urkia, Miriam

doi:10.3115/990820.990821

Cited by 8 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Oraindik, baina, ez diogu ekin aztergai izango ditugun egitura sintaktiko horiei dagozkien adibideak corpusean etiketatzeari. Horretarako, egitura horietako batzuk testuen normalizaziorako egiten dugun etiketatzearekin batera anotatzea aurreikusita dugu, eta fase horretan detektatzen ez diren egiturak corpusean aurkitzeko, berriz, IXA taldean garatutako analizatzaile morfosintaktikoa (Aduriz et al, 2000;Alegria et al, 1996) eta Treebanka (zuhaitz sintaktikoen corpusa) (Aranzabe, 2008) egokituko ditugu. Izan ere, testu zaharrenek (XVI.…”

Section: Euskarazko Corpus Historikoaren Arakatzaile Sintaktikoaunclassified

Euskal hizkeren azterketarako bi baliabide informatiko

Garin¹,

Etxepare²

2017

uztaro

View full text Add to dashboard Cite

IXA taldea, IKER UMR-5478*Euskal Herrian leku batetik bestera eta garai batetik bestera modu, forma edota egitura desberdinak erabili izan ditugu euskaraz gauza berdinak adierazteko. Adibidez, gaur egun, Euskal Herriko leku batzuetan Jon artzaina da esaten da; beste batzuetan, Jean artzain da (garai batean, artikulurik gabeko forma hori hedatuagoa zen gaur egun baino). XVI. mendean aginterazko forma sintetikoak zuzenean ezeztatuak izan zitezkeen (ze eikek maurtuti oanean, eder eztanik kalean (Lakarra, 1996)), egungo euskaran ezinezkoa dena. Euskalkiak edo hizkerak modu sistematiko batean biltzeak aukera emango liguke euskal hizkeren panoramika bat izateko, hau da, euskal hizkeren bilakaera ezagutzeko, euskara leku eta garai jakin batean nolakoa izan den jakiteko. Hala, gure ikerketa-lanaren xedeetako bat euskal hizkerak aztertzeko baliabide informatikoak garatzea da, ikerketa-alor honetan tresna informatikoek aukera handiak eskaini ahal dizkigutela uste baitugu. Artikulu honetan euskara ez-estandarra aztergai duten bi proiekturen berri eman nahi dugu: 2009an abiarazi genuen BASYQUE aplikazioa eta diseinu-fasean dagoen euskarazko corpus historikoaren arakatzaile sintaktikoa. GAKO-HITZAK: Dialektologia · Aldakortasun sintaktikoa · Hizkuntzalaritza Konputazionala · Corpusak. Two NLP based resources for the analysis of Basque dialectsIn the Basque Country, in different locations and different periods, several structures and forms have been used to say the same thing. Collecting information about Basque dialects across different places and periods in a systematic way, offers us the possibility to build a panoramic view of the Basque dialects and their evolution, that is, to know how our language has been spoken in a given place and in a given period. And this is, precisely, one of our research goals: we intend to develop Natural Language Processing (NLP) based resources focused on the analysis and processing of Basque dialects across time and space, since we believe that current technological applications provide interesting possibilities in this research field. In this article, we present the BASYQUE application and the syntactic parser we intend to develop for the analysis of historical texts.

show abstract

Section: Euskarazko Corpus Historikoaren Arakatzaile Sintaktikoaunclassified

Euskal hizkeren azterketarako bi baliabide informatiko

Garin¹,

Etxepare²

2017

uztaro

View full text Add to dashboard Cite

show abstract

“…Morphological analysis for agglutinative languages tends to be based on finite-state transducers (Koskenniemi, 1983;Oflazer, 1994;Özlem Ç etinoǧlu and Kuhn, 2013;Aduriz et al, 2000). These are robust, but the process is not quickly adaptable to other languages, as every rule is language-specific, and there is no clear way to handle learner innovations.…”

Section: Morphological Analysis For Hungarianmentioning

confidence: 99%

Automatic morphological analysis of learner Hungarian

Ledbetter

2015

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications

View full text Add to dashboard Cite

In this paper, we describe a morphological analyzer for learner Hungarian, built upon limited grammatical knowledge of Hungarian. The rule-based analyzer requires very few resources and is flexible enough to do both morphological analysis and error detection, in addition to some unknown word handling. As this is work-in-progress, we demonstrate its current capabilities, some areas where analysis needs to be improved, and an initial foray into how the system output can support the analysis of interlanguage grammars.

show abstract

Section: Morphological Analysis For Hungarianmentioning

confidence: 99%

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications

Tetreault

Burstein

Leacock³

2015

View full text Add to dashboard Cite

iii IntroductionWe are excited to be holding the 10th anniversary the BEA workshop. Since starting in 1997, the BEA workshop, now one of the largest workshops at NAACL/ACL, has become one of the leading venues for publishing innovative work that uses NLP to develop educational applications. The consistent interest in and growth of the workshop has clear ties to societal need and related advances in the technology, and the maturity of the NLP/education field. NLP capabilities now support an array of learning domains, including writing, speaking, reading, and mathematics. Within these domains, the community continues to develop and deploy innovative NLP approaches for use in educational settings. In the writing and speech domains, automated writing evaluation (AWE) and speech scoring applications, respectively, are commercially deployed in high-stakes assessment and instructional settings, including Massive Open Online Courses (MOOCs). We also see widely-used commercial applications for plagiarism detection and peer review. Major advances in speech technology, have made it possible to include speech in both assessment and Intelligent Tutoring Systems. There has been a renewed interest in spoken dialog and multi-modal systems for instruction and assessment as well as feedback. We are also seeing explosive growth of mobile applications for game-based applications for instruction and assessment. The current educational and assessment landscape, continues to foster a strong interest and high demand that pushes the state-of-the-art in AWE capabilities to expand the analysis of written responses to writing genres other than those traditionally found in standardized assessments, especially writing tasks requiring use of sources and argumentative discourse.The use of NLP in educational applications has gained visibility outside of the NLP community. First, the Hewlett Foundation reached out to public and private sectors and sponsored two competitions: one for automated essay scoring, and the other for scoring of short answer, fact-based response items. The motivation driving these competitions was to engage the larger scientific community in this enterprise. MOOCs are now beginning to incorporate AWE systems to manage the thousands of constructedresponse assignments collected during a single MOOC course. Learning@Scale is a recent venue for discussing NLP research in education. The NLP-TEA workshop, now in its second year (NLP-TEA2), gives special attention to papers working on Asian languages. The Speech and Language Technology in Education (SLaTE), now in its sixth year, promotes the use of speech and language technology for educational purposes. Another breakthrough for educational applications within the CL community is the presence of a number of shared-task competitions over the last three years. There have been three shared tasks on grammatical error correction with the most recent edition hosted at CoNLL 2014. In 2014 alone, there were four shared tasks for NLP and Education-related areas.As a community, we contin...

show abstract

A word-grammar based morphological analyzer for agglutinative languages

Cited by 8 publications

References 8 publications

Euskal hizkeren azterketarako bi baliabide informatiko

Euskal hizkeren azterketarako bi baliabide informatiko

Automatic morphological analysis of learner Hungarian

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications

Contact Info

Product

Resources

About