• Refine your search:
  • 
    Keyword:
    
    • Machine translating (99)
    • Computational linguistics (32)
    • lexical functional grammar (19)
    • LFG (14)
    • Machine learning (10)
    • Computation and Language cs.CL (9)
    • FOS Computer and information sciences (9)
    • Lexical Functional Grammar (7)
    • Linguistics (7)
    • Computational Linguistics (6)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...9 Hits 1 – 20 of 167 1 Europarl Direct Translationese Dataset ... Amponsah-Kaakyire, Kwabena; Pylypenko, Daria; España-Bonet, Cristina. - : Zenodo, 2021 BASE Show details 2 Europarl Direct Translationese Dataset ... Amponsah-Kaakyire, Kwabena; Pylypenko, Daria; España-Bonet, Cristina. - : Zenodo, 2021 BASE Show details 3 Europarl Direct Translationese Dataset ... Amponsah-Kaakyire, Kwabena; Pylypenko, Daria; España-Bonet, Cristina. - : Zenodo, 2021 BASE Show details 4 Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages ... Ruiter, Dana; Klakow, Dietrich; van Genabith, Josef. - : arXiv, 2021 BASE Show details 5 Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ... Pylypenko, Daria; Amponsah-Kaakyire, Kwabena; Chowdhury, Koel Dutta. - : arXiv, 2021 BASE Show details 6 Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Herbig, Nico; Krueger, Antonio. - : Underline Science Inc., 2021 BASE Show details 7 Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Liu, Qiuhui; van Genabith, Josef. - : Underline Science Inc., 2021 BASE Show details 8 Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Amponsah-Kaakyire, Kwabena; Dutta Chowdhury, Koel. - : Underline Science Inc., 2021 BASE Show details 9 Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Liu, Qiuhui; van Genabith, Josef. - : Underline Science Inc., 2021 BASE Show details 10 A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; van Genabith, Josef; Zhang, Jingyi. - : Underline Science Inc., 2021 BASE Show details 11 Automatic classification of human translation and machine translation : a study from the perspective of lexical diversity Fu, Yingxue; Nederhof, Mark Jan. - : Linkoping University Electronic Press, 2021 Abstract: By using a trigram model and fine-tuning a pretrained BERT model for sequence classification, we show that machine translation and human translation can be classified with an accuracy above chance level, which suggests that machine translation and human translation are different in a systematic way. The classification accuracy of machine translation is much higher than of human translation. We show that this may be explained by the difference in lexical diversity between machine translation and human translation. If machine translation has independent patterns from human translation, automatic metrics which measure the deviation of machine translation from human translation may conflate difference with quality. Our experiment with two different types of automatic metrics shows correlation with the result of the classification task. Therefore, we suggest the difference in lexical diversity between machine translation and human translation be given more attention in machine translation evaluation. ; Publisher PDF Keyword: 3rd-DAS; Artificial Intelligence; Q Science (General); Q1 URL: https://aclanthology.org/previews/ingest-nodalida/2021.motra-1.10/ http://hdl.handle.net/10023/23304 BASE Hide details 12 Transformer-based NMT : modeling, training and implementation Xu, Hongfei. - : Saarländische Universitäts- und Landesbibliothek, 2021 BASE Show details 13 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie... In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020) BASE Show details 14 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : arXiv, 2020 BASE Show details 15 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : Zenodo, 2020 BASE Show details 16 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : Zenodo, 2020 BASE Show details 17 Linguistically inspired morphological inflection with a sequence to sequence model ... Metheniti, Eleni; Neumann, Guenter; van Genabith, Josef. - : arXiv, 2020 BASE Show details 18 Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers ... Xu, Hongfei; van Genabith, Josef; Liu, Qiuhui. - : arXiv, 2020 BASE Show details 19 Language service provision in the 21st century: challenges, opportunities and educational perspectives for translation studies Bernardini, Silvia; Bouillon, Pierrette; Ciobanu, Dragos... In: ISBN: 9788869234934 ; Bologna Process beyond 2020: Fundamental values of the EHEA pp. 297-303 (2020) BASE Show details 20 Deep interactive text prediction and quality estimation in translation interfaces Hokamp, Christopher M.. - : Dublin City University. School of Computing, 2018 In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018) BASE Show details Page: 1 2 3 4 5...9

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 1 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 5 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 161 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0