18,899 Hits in 5.6 sec

KCAR: A knowledge-driven approach for concurrent activity recognition

Juan Ye, Graeme Stevenson, Simon Dobson
2015 Pervasive and Mobile Computing  
Di erent from the above data-driven approaches, KCAR is knowledge-driven in that we do not need any training data to build a potentially complex model and thus we avoid the computational complexity and  ...  Activity Recognition Activity recognition techniques can be grouped into data-and knowledge-driven approaches [3, 48] .  ... 
doi:10.1016/j.pmcj.2014.02.003 fatcat:shgjg5vqyzaqngxyhvz7wivlou

Enabling Semantic Search and Knowledge Discovery for ArcGIS Online: A Linked-Data-Driven Approach [chapter]

Yingjie Hu, Krzysztof Janowicz, Sathya Prasad, Song Gao
2015 Lecture Notes in Geoinformation and Cartography  
To address these difficulties, we combine data-driven techniques with theory-driven approaches to enable semantic search and knowledge discovery for ArcGIS Online.  ...  Based on a human participant experiment, we calibrate a linear regression model for semantic search, and demonstrate the flexible queries for knowledge discovery that are not possible in the existing Web  ...  Acknowledgement This work is a collaborative effort from UCSB STKO Lab and ESRI Applications Prototype Lab. The authors would like to thank Mr. Jack Dangermond, Mr. Hugh Keegan, Dr.  ... 
doi:10.1007/978-3-319-16787-9_7 fatcat:wmokxdep55hjfewg5hiocwocwa

Translation activities on oral translation and written translation

James P. Woang
2021 Applied Translation  
The most important thing for a translator is the technique chosen can fulfill the purpose of the translation.  ...  Translation activities and studies from one language to another must be carried out to understand the thoughts, ideas, culture, and knowledge of other nations who have different styles.  ...  In this study, researchers used a qualitative method with a descriptive approach. Data collection is done by collecting data related to the problem under study.  ... 
doi:10.51708/apptrans.v15n1.1402 fatcat:y5umaxg3pff3nguxfr4eqrqlse

Translational equivalence in Statistical Machine Translation or meaning as co-occurrence

Lieve Macken, Els Lefever
2021 Linguistica Antverpiensia, New Series – Themes in Translation Studies  
Statistical Machine Translation is a corpus-based approach to MT: it de-rives the required knowledge to generate new translations from corpora.  ...  General-purpose SMT systems do not use any formal semantic representa-tion.  ...  The statistical approaches to Machine Translation are also data-driven.  ... 
doi:10.52034/lanstts.v7i.215 fatcat:bit5hp4c3rgnlpa7gncew42gtq

Cohesion And Translation Variation: Corpus-Based Analysis Of Translation Varieties [chapter]

Ekaterina Lapshinova-Koltunski
2017 Zenodo  
We extract quantitative evidence for cohesive devices from a corpus and analyse them with descriptive techniques to see where the differences lie.  ...  In this study, we analyse cohesion in human and machine translations that we call 'translation varieties' as defined by Lapshinova-Koltunski (2017) -- translation types differing in the translation methods  ...  The frequencies of the cohesive devices were obtained in a completely automatic annotation and query approach.  ... 
doi:10.5281/zenodo.814467 fatcat:xfmptgxy4rc3njwgxttctd373a

Translating Conceptual Qur'anic Metaphor: A Cogno-Translational Approach

Belqes Al-Sowaidi, Tawffeek Mohammed, Felix Banda
2021 Academic Journal of Interdisciplinary Studies  
This kind of eclecticism provides a wide-ranging approach to be followed while analyzing the translation of Qur'anic metaphors.  ...  This study will investigate metaphor translation as a natural phenomenon.  ...  This study revealed that culture is a crucial factor in Qur'anic translation, which concurs with Kövecses, who emphasized that metaphors are "culture-and language-dependent" (Kövecses, 2010:198).  ... 
doi:10.36941/ajis-2021-0014 fatcat:llm3bwxluffhpfyew5ucrcfuqq

A Rule-based Dependency Parser for Telugu: An Experiment with Simple Sentences

Sangeetha P, Parameswari K, Amba Kulkarni
2021 Translation Today  
A detailed description of mapping semantic relations to vibhaktis (case suffixes and postpositions) in Telugu using PG is presented.  ...  The research further provides results, which suggest that enriching the current parser with linguistic inputs can increase the accuracy and tackle ambiguity better than existing data-driven methods.  ...  Brief Survey A few attempts were made in developing a Telugu dependency parser based on data-driven approaches.  ... 
doi:10.46623/tt/2021.15.1.ar5 fatcat:xqueiy4jhfb67kyvlo3wxt7je4

Translation-Based Steganography [chapter]

Christian Grothoff, Krista Grothoff, Ludmila Alkhutova, Ryan Stutsman, Mikhail Atallah
2005 Lecture Notes in Computer Science  
the normal noise associated with translation.  ...  Because the inherent redundancy of natural language creates plenty of room for variation in translation, machine translation is ideal for steganographic applications.  ...  Semantically-driven information hiding is a relatively recent innovation, as described for watermarking schemes in Atallah et al [4] .  ... 
doi:10.1007/11558859_17 fatcat:amilcwsgbfgfvhwu4faa5m3gfq

Information Retrieval System and Machine Translation: A Review

Mangala Madankar, M.B. Chandak, Nekita Chavhan
2016 Procedia Computer Science  
Cross-lingual Information Retrieval (CLIR), Multi-lingual Information Retrieval (MLIR), Machine translation approaches and techniques.  ...  Machine translation plays an important role to achieve the CLIR and MLIR system.  ...  To overcome the problem of knowledge acquisition problem of rule based machine translation, Corpus based machine translation also refers as data driven machine translation is an alternative approach for  ... 
doi:10.1016/j.procs.2016.02.071 fatcat:y252g5yn2vcbvkdbobrvrhoxna

Phenomenology and Rhetoric in Hermeneutic Translation

Radegundis Stolze, Technische Universität Darmstadt TUD
2018 Crossroads A Journal of English Studies  
Translational Hermeneutics as a discipline is central in Translation Studies.  ...  Comprehension requires relevant cultural and specialist knowledge guiding the phenomenology in understanding, whereas proficiency in specific text genres and styles, textual logic, and semantic webs with  ...  The process of writing is first oriented selectively to certain points of difficulty; it is a data -driven bottom-up process.  ... 
doi:10.15290/cr.2018.20.1.02 fatcat:3opuhmivkrfefjmofdvht5wioe


Halimah Halimah
2018 BAHTERA : Jurnal Pendidikan Bahasa dan Sastra  
AbstractThis study aims to analyze the similarity between human translation and machine translation to translate procedural text. This research uses Content Analysis approach (Content Analysis).  ...  The analysis was performed on English procedural text on a "VIXAL Lebih Wangi" cleanliness product translated into Indonesian by Nia Kurniawati (representing human translation).  ...  Recent advances in translation automation technology, all data-driven or machine translation statistics (TM), translation education programs throughout the world is facing pressures from the  ... 
doi:10.21009/bahtera.171.2 fatcat:trps65qsxff3hp5fouvrpndisu

Automating Knowledge Acquisition for Machine Translation

Kevin Knight
1997 The AI Magazine  
Semantic dictionaries and world models, driven by AI applications mostly outside machine translation, will continue to scale up.  ...  No, but there are many approaches to machine translation, and not all of them use formal semantic representations. (I'll describe some in this article.)  ... 
doi:10.1609/aimag.v18i4.1323 dblp:journals/aim/Knight97 fatcat:ebwchdrobrd7fk32gqdbzp2ase

Spatial simulation for translating from land use to land cover

Daniel G. Brown, Jiunn-Der Duh
2004 International Journal of Geographical Information Science  
We tested the approach in a test area that was not used in calibrating the translation.  ...  The approach uses stochastic spatial simulation to generate land-cover patterns on the basis of a land-use map and stated translation rules.  ...  We have benefited from multiple discussions with Joan Nassauer and Sandra Kosek about this approach but take full responsibility for its flaws.  ... 
doi:10.1080/13658810310001620906 fatcat:5bbn3mta6nhsvckf2xwoqvwggm

Language, culture, and image-driven interpretations in translation: A case for the university translation classroom in Ukraine

Olha Vakhovska, Olha Isaienko
2021 Revista Amazonía investiga  
In this paper, we develop a theory of image-driven interpretations for the translation studies domain. Interpretations make the core of translation and are explained in terms of mental images.  ...  An image-driven interpretation gives a meaning to a source-language word and finds in the target language the word to capture this meaning, which is a creative act and a cross-cultural transfer.  ...  A good translation is pouring the wine from one bottle into another without evaporating the spirit -the wine does not turn into water.  ... 
doi:10.34069/ai/2021.47.11.25 fatcat:invgcr5atna5nnzndnooicfjgu

Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation

Maria Nadejde, Alexandra Birch, Philipp Koehn
2016 Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers  
This paper explores whether knowledge about semantic affinities between the target predicates and their argument fillers is useful for translating ambiguous predicates and arguments.  ...  We propose a selectional preference feature based on the selectional association measure of Resnik (1996) and integrate it in a string-to-tree decoder.  ...  We are also grateful for support by a Google Faculty Research Award.  ... 
doi:10.18653/v1/w16-2204 dblp:conf/wmt/NadejdeBK16 fatcat:ucxzmadpnvhdhhrxkmhkofshsi
« Previous Showing results 1 — 15 out of 18,899 results