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1
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
In: Front Artif Intell (2022)
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2
Semantic Relatedness and Taxonomic Word Embeddings ...
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3
English WordNet Taxonomic Random Walk Pseudo-Corpora
In: Conference papers (2020)
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4
Language related issues for machine translation between closely related south Slavic languages
Arcan, Mihael; Klubicka, Filip; Popovic, Maja. - : The COLING 2016 Organizing Committee, 2019
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5
Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
In: Conference papers (2019)
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6
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
In: Articles (2019)
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7
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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8
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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9
Is it worth it? Budget-related evaluation metrics for model selection ...
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10
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
In: Articles (2018)
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11
Is it worth it? Budget-related evaluation metrics for model selection
In: Conference papers (2018)
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12
hr500k – A Reference Training Corpus of Croatian.
In: Conference papers (2018)
Abstract: In this paper we present hr500k, a Croatian reference training corpus of 500 thousand tokens, segmented at document, sentence and word level, and annotated for morphosyntax, lemmas, dependency syntax, named entities, and semantic roles. We present each annotation layer via basic label statistics and describe the final encoding of the resource in CoNLL and TEI formats. We also give a description of the rather turbulent history of the resource and give insights into the topic and genre distribution in the corpus. Finally, we discuss further enrichments of the corpus with additional layers, which are already underway.
Keyword: annotation; computational linguistics; Croatian; Digital Humanities; linguistic resource; machine learning; reference corpus; Slavic Languages and Societies
URL: https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1254&context=scschcomcon
https://arrow.tudublin.ie/scschcomcon/244
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13
Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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14
Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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15
Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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16
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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17
Fine-grained human evaluation of neural versus phrase-based machine translation ...
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18
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
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19
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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20
Finnish-English parallel corpus fienWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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