A Computational Perspective on the Romanian Dialects
In this paper we conduct an initial study on the dialects of Romanian. We analyze the differences between Romanian and its dialects using the Swadesh list. We analyze the predictive power of the orthographic and phonetic features of the words, building a classification problem for dialect identification.
Code (0)
등록된 구현이 없습니다.
Tasks
Dialect IdentificationGeneral ClassificationSimilar Papers 제목 키워드 기반
Tools for Building a Corpus to Study the Historical and Geographical Variation of the Romanian Language
Contemporary standard language corpora are ideal for NLP. There are few morphologically and syntactically annotated corpora for Romanian, and those existing or in progress only deal with the Contemporary Romanian standar…
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
Motivated by the seemingly high accuracy levels of machine learning models in Moldavian versus Romanian dialect identification and the increasing research interest on this topic, we provide a follow-up on the Moldavian v…
ArticlesBIG-bench Machine LearningDialect IdentificationEnsemble Learning+1Discriminating between standard Romanian and Moldavian tweets using filtered character ngrams
We applied word unigram models, character ngram models, and CNNs to the task of distinguishing tweets of two related dialects of Romanian (standard Romanian and Moldavian) for the VarDial 2020 RDI shared task (Gaman et a…
Articlestext-classificationText ClassificationExperiments in Language Variety Geolocation and Dialect Identification
In this paper we describe the systems we used when participating in the VarDial Evaluation Campaign organized as part of the 7th workshop on NLP for similar languages, varieties and dialects. The shared tasks we particip…
Dialect IdentificationSC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification
This paper describes our models for the Moldavian vs. Romanian Cross-Topic Identification (MRC) evaluation campaign, part of the VarDial 2019 workshop. We focus on the three subtasks for MRC: binary classification betwee…
Binary ClassificationGeneral ClassificationMulti-class Classification