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Found 15 papers, 1 papers with code
A Report on the Third VarDial Evaluation Campaign
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of the sixth edition of the workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with NAACL 2019.
Encoder-Decoder Methods for Text Normalization
Text normalization has been addressed with a variety of methods, most successfully with character-level statistical machine translation (CSMT).
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign
We present the results and the findings of the Second VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects.
Neural Sequence-to-sequence Learning of Internal Word Structure
Learning internal word structure has recently been recognized as an important step in various multilingual processing tasks and in theoretical language comparison.
Universal Dependencies for Serbian in Comparison with Croatian and Other Slavic Languages
The paper documents the procedure of building a new Universal Dependencies (UDv2) treebank for Serbian starting from an existing Croatian UDv1 treebank and taking into account the other Slavic UD annotation guidelines.
TweetGeo - A Tool for Collecting, Processing and Analysing Geo-encoded Linguistic Data
In this paper we present a newly developed tool that enables researchers interested in spatial variation of language to define a geographic perimeter of interest, collect data from the Twitter streaming API published in that perimeter, filter the obtained data by language and country, define and extract variables of interest and analyse the extracted variables by one spatial statistic and two spatial visualisations.
A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora
Language complexity is an intriguing phenomenon argued to play an important role in both language learning and processing.
A Framework for Automatic Acquisition of Croatian and Serbian Verb Aspect from Corpora
Focusing on Croatian and Serbian, in this paper we propose a novel framework for automatic classification of their verb types into a number of fine-grained aspectual classes based on the observable morphology of verb forms.
ArchiMob - A Corpus of Spoken Swiss German
Swiss dialects of German are, unlike most dialects of well standardised languages, widely used in everyday communication.
Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification
We present a novel tool for morphological analysis of Serbian, which is a low-resource language with rich morphology.
