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Found 45 papers, 3 papers with code
Addressing polysemy in bilingual lexicon extraction from comparable corpora
This paper presents an approach to extract translation equivalents from comparable corpora for polysemous nouns.
TweetCaT: a tool for building Twitter corpora of smaller languages
This paper presents TweetCaT, an open-source Python tool for building Twitter corpora that was designed for smaller languages.
The SETimes.HR Linguistically Annotated Corpus of Croatian
We build and evaluate statistical models for lemmatization, morphosyntactic tagging, named entity recognition and dependency parsing on top of SETimes. HR and the test sets, providing the state of the art in all the tasks.
Comparing two acquisition systems for automatically building an English---Croatian parallel corpus from multilingual websites
We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus.
Quality Estimation for Synthetic Parallel Data Generation
This paper presents a novel approach for parallel data generation using machine translation and quality estimation.
caWaC -- A web corpus of Catalan and its application to language modeling and machine translation
In this paper we present the construction process of a web corpus of Catalan built from the content of the . cat top-level domain.
Croatian Error-Annotated Corpus of Non-Professional Written Language
In the paper authors present the Croatian corpus of non-professional written language.
Corpus vs. Lexicon Supervision in Morphosyntactic Tagging: the Case of Slovene
In this paper we present a tagger developed for inflectionally rich languages for which both a training corpus and a lexicon are available.
Producing Monolingual and Parallel Web Corpora at the Same Time - SpiderLing and Bitextor's Love Affair
This paper presents an approach for building large monolingual corpora and, at the same time, extracting parallel data by crawling the top-level domain of a given language of interest.
New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian
In this paper we present newly developed inflectional lexcions and manually annotated corpora of Croatian and Serbian.
Corpus-Based Diacritic Restoration for South Slavic Languages
In computer-mediated communication, Latin-based scripts users often omit diacritics when writing.
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.
Enlarging Scarce In-domain English-Croatian Corpus for SMT of MOOCs Using Serbian
Massive Open Online Courses have been growing rapidly in size and impact.
Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task
We present the results of the third edition of the Discriminating between Similar Languages (DSL) shared task, which was organized as part of the VarDial{'}2016 workshop at COLING{'}2016.
Private or Corporate? Predicting User Types on Twitter
In this paper we present a series of experiments on discriminating between private and corporate accounts on Twitter.
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.
Findings of the VarDial Evaluation Campaign 2017
We present the results of the VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects, which we organized as part of the fourth edition of the VarDial workshop at EACL{'}2017.
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text
We remove more than half of the error of the standard tagger when applied to non-standard texts by training it on a combination of standard and non-standard training data, while enriching the data representation with external resources removes additional 11 percent of the error.
Language-independent Gender Prediction on Twitter
In this paper we present a set of experiments and analyses on predicting the gender of Twitter users based on language-independent features extracted either from the text or the metadata of users{'} tweets.
Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene
In this paper we present the legal framework, dataset and annotation schema of socially unacceptable discourse practices on social networking platforms in Slovenia.
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
We show that the notions of concreteness and imageability are highly predictable both within and across languages, with a moderate loss of up to 20{\%} in correlation when predicting across languages.
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.
Comparing CRF and LSTM performance on the task of morphosyntactic tagging of non-standard varieties of South Slavic languages
This paper presents two systems taking part in the Morphosyntactic Tagging of Tweets shared task on Slovene, Croatian and Serbian data, organized inside the VarDial Evaluation Campaign.
Datasets of Slovene and Croatian Moderated News Comments
Both datasets are published in encrypted form, to enable others to perform experiments on detecting content to be deleted without revealing potentially inappropriate content.
What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian
We present experiments on Slovenian, Croatian and Serbian morphosyntactic annotation and lemmatisation between the former state-of-the-art for these three languages and one of the best performing systems at the CoNLL 2018 shared task, the Stanford NLP neural pipeline.
Gigafida 2.0: The Reference Corpus of Written Standard Slovene
We describe a new version of the Gigafida reference corpus of Slovene.
SemEval-2020 Task 3: Graded Word Similarity in Context
This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish.
