Towards Turkish abstract meaning representation

Zahra Azin, Gülsen Eryiǧit

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

11 Atıf (Scopus)

Özet

Using rooted, directed and labeled graphs, Abstract Meaning Representation (AMR) abstracts away from syntactic features such as word order and does not annotate every constituent in a sentence. AMR has been specified for English and was not supposed to be an Interlingua. However, several studies strived to overcome divergences in the annotations between English AMRs and those of their target languages by refining the annotation specification. Following this line of research, we have started to build the first Turkish AMR corpus by hand-annotating 100 sentences of the Turkish translation of the novel "The Little Prince" and comparing the results with the English AMRs available for the same corpus. The next step is to prepare the Turkish AMR annotation specification for training future annotators.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
YayınlayanAssociation for Computational Linguistics (ACL)
Sayfalar43-47
Sayfa sayısı5
ISBN (Elektronik)9781950737475
Yayın durumuYayınlandı - 2019
Etkinlik57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 - Student Research Workshop, SRW 2019 - Florence, Italy
Süre: 28 Tem 20192 Ağu 2019

Yayın serisi

AdıACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop

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???event.eventtypes.event.conference???57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 - Student Research Workshop, SRW 2019
Ülke/BölgeItaly
ŞehirFlorence
Periyot28/07/192/08/19

Bibliyografik not

Publisher Copyright:
© 2019 Association for Computational Linguistics.

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