2026-05-13T03:53:09Zhttps://iris.cnr.it/oai/requestoai:iris.cnr.it:20.500.14243/3499502024-11-30T02:06:43Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_47ou_ou239
Evaluating Inflectional Complexity Crosslinguistically: a Processing Perspective
Marzi C
Ferro M
Nahli O
Belik P
Bompolas S
Pirrelli V
N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis & T. Tokunaga
Marzi, C
Ferro, M
Nahli, O
Belik, P
Bompolas, S
Pirrelli, V
paradigm-based morphology
inflectional complexity
prediction-based processing
recurrent self-organising networks
Statistical And Machine Learning Methods
Language Modelling
The paper provides a cognitively motivated method for evaluating the inflectional complexity of a language, based on a sample of"raw" inflected word forms processed and learned by a recurrent self-organising neural network with fixed parameter setting. Trainingitems contain no information about either morphological content or structure. This makes the proposed method independent of bothmeta-linguistic issues (e.g. format and expressive power of descriptive rules, manual or automated segmentation of input forms, numberof inflectional classes etc.) and language-specific typological aspects (e.g. word-based, stem-based or template-based morphology).Results are illustrated by contrasting Arabic, English, German, Greek, Italian and Spanish.
2018
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/20.500.14243/349950
info:eu-repo/semantics/altIdentifier/isbn/979-10-95546-00-9
http://www.lrec-conf.org/proceedings/lrec2018/summaries/745.html
eng
ispartofbook:Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
firstpage:3860
lastpage:3866
numberofpages:7
ELETTRONICO
alleditors:N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis & T. Tokunaga
European language resources association (ELRA)
country:FRA
place:Paris