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Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
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In: Front Artif Intell (2022)
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English WordNet Taxonomic Random Walk Pseudo-Corpora
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In: Conference papers (2020)
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Language related issues for machine translation between closely related south Slavic languages
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Abstract:
Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be addressed in order to improve such systems. This work explores the obstacles for machine translation systems between closely related South Slavic languages, namely Croatian, Serbian and Slovenian. Statistical systems for all language pairs and translation directions are trained using parallel texts from different domains, however mainly on spoken language i.e. subtitles. For translation between Serbian and Croatian, a rule-based system is also explored. It is shown that for all language pairs and for both translation systems, the main obstacles are the differences between syntactic properties. ; This work has emerged from research supported by TRAMOOC project (Translation for Massive Open Online Courses) partially funded by the European Commission under H2020-ICT-2014/H2020-ICT2014-1 under grant agreement number 644333 and by the Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight). The research leading to these results has also received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement PIAP-GA2012-324414 (Abu-MaTran) and the Swiss National Science Foundation grant IZ74Z0 160501 (ReLDI). ; non-peer-reviewed
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Keyword:
Language; Machine translation; South Slavic languages
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URL: http://hdl.handle.net/10379/14887
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Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
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In: Conference papers (2019)
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Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
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In: Articles (2019)
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Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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Is it worth it? Budget-related evaluation metrics for model selection ...
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Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
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In: Articles (2018)
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Is it worth it? Budget-related evaluation metrics for model selection
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In: Conference papers (2018)
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hr500k – A Reference Training Corpus of Croatian.
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In: Conference papers (2018)
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Fine-grained human evaluation of neural versus phrase-based machine translation ...
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Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
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