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Informationsextraktion aus Wirtschaftsnachrichten über Unternehmenszusammenschlüsse mit lokalen Grammatiken
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IDS Mannheim
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Learning translations via images with a massively multilingual image dataset
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Losing Shahrazad: A Distant Reading of 1001 Nights
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In: Senior Projects Spring 2018 (2018)
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BASE
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Bangime: Secret Language, Language Isolate, or Language Island?
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In: https://hal.archives-ouvertes.fr/hal-01867003 ; 2018 (2018)
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BASE
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A database of German definitory contexts from selected web sources
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In: 11th International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01798704 ; 11th International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan. pp.3068-3073 (2018)
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Deep interactive text prediction and quality estimation in translation interfaces
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In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018)
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BASE
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Machine translation evaluation resources and methods: a survey
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In: Han, Lifeng orcid:0000-0002-3221-2185 (2018) Machine translation evaluation resources and methods: a survey. In: IPRC- Irish Postgraduate Research Conference, 8-9 Nov 2018, Dublin, Ireland. (2018)
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Abstract:
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic evaluation methods. The traditional human evaluation criteria mainly include the intelligibility, fidelity, fluency, adequacy, comprehension, and informativeness. The advanced human assessments include task-oriented measures, post-editing, segment ranking, and extended criteriea, etc. We classify the automatic evaluation methods into two categories, including lexical similarity scenario and linguistic features application. The lexical similarity methods contain edit distance, precision, recall, F-measure, and word order. The linguistic features can be divided into syntactic features and semantic features respectively. The syntactic features include part of speech tag, phrase types and sentence structures, and the semantic features include named entity, synonyms, textual entailment, paraphrase, semantic roles, and language models. The deep learning models for evaluation are very newly proposed. Subsequently, we also introduce the evaluation methods for MT evaluation including different correlation scores, and the recent quality estimation (QE) tasks for MT. This paper differs from the existing works\cite {GALEprogram2009, EuroMatrixProject2007} from several aspects, by introducing some recent development of MT evaluation measures, the different classifications from manual to automatic evaluation measures, the introduction of recent QE tasks of MT, and the concise construction of the content.
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Keyword:
Algorithms; Artificial intelligence; Computational linguistics; Language; Machine translating; Machine Translation Evaluation
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URL: http://doras.dcu.ie/24493/
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BASE
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Semantic reranking of CRF label sequences for verbal multiword expression identification
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In: Moreau, Erwan, Alsulaimani, Ashjan, Maldonado, Alfredo orcid:0000-0001-8426-5249 , Han, Lifeng, Vogel, Carl orcid:0000-0001-8928-8546 and Dutta Chowdhury, Koel (2018) Semantic reranking of CRF label sequences for verbal multiword expression identification. In: Markantonatou, Stella, Ramisch, Carlos orcid:0000-0001-7466-9039 , Savary, Agata and Vincze, Veronika orcid:0000-0002-9844-2194 , (eds.) Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop. Language Science Press, Berlin, pp. 177-207. ISBN 978-3-96110-124-5 (2018)
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Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies
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In: Dorn, Amelie, Wandl-Vogt, Eveline orcid:0000-0002-0802-0255 , Abgaz, Yalemisew orcid:0000-0002-3887-5342 , Benito Santos, Alejandro orcid:0000-0001-5317-6390 and Therón, Roberto orcid:0000-0001-6739-8875 (2018) Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies. In: 11th Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-22-1 (2018)
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