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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
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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3
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
Abstract: This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-established Multidimensional Quality Metrics (MQM) error taxonomy and implement a novel method that assesses whether the differences in performance for MQM error types between different MT systems are statistically significant. We conduct a case study for English-to-Croatian, a language direction that involves translating into a morphologically rich language, for which we compare three MT systems belonging to different paradigms: pure phrase-based, factored phrase-based and neural. First, we design an MQM-compliant error taxonomy tailored to the relevant linguistic phenomena of Slavic languages, which made the annotation process feasible and accurate. Errors in MT outputs were then annotated by two annotators following this taxonomy. Subsequently, we carried out a statistical analysis which showed that the best-performing system (neural) ... : 22 pages, 2 figures, 9 tables, 1 equation. This is a post-peer-review, pre-copyedit version of an article published in Machine Translation Journal. The final authenticated version will be available online at the journal page. arXiv admin note: substantial text overlap with arXiv:1706.04389 ...
Keyword: 68T50; Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1802.01451
https://dx.doi.org/10.48550/arxiv.1802.01451
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4
Is it worth it? Budget-related evaluation metrics for model selection ...
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5
Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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6
Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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7
Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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8
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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9
Fine-grained human evaluation of neural versus phrase-based machine translation ...
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10
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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11
Finnish-English parallel corpus fienWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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12
Serbian web corpus srWaC 1.1
Ljubešić, Nikola; Klubička, Filip. - : Jožef Stefan Institute, 2016
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13
Inflectional lexicon hrLex 1.0
Ljubešić, Nikola; Klubička, Filip. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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14
Inflectional lexicon hrLex 1.2
Ljubešić, Nikola; Klubička, Filip; Boras, Damir. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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15
Tourism English-Croatian Parallel Corpus 2.0
Toral, Antonio; Esplà-Gomis, Miquel; Klubička, Filip. - : Abu-MaTran project, 2016
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16
Inflectional lexicon srLex 1.2
Ljubešić, Nikola; Klubička, Filip; Boras, Damir. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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17
Croatian-English parallel corpus hrenWaC 2.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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18
Inflectional lexicon srLex 1.0
Ljubešić, Nikola; Klubička, Filip. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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19
Croatian web corpus hrWaC 2.1
Ljubešić, Nikola; Klubička, Filip. - : Jožef Stefan Institute, 2016
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20
Slovene-English parallel corpus slenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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