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Hits 1.701 – 1.720 of 1.784
| 1701 |
Technologies, Discourse Analysis, and the Spoken Word: The MRC Approach: An Empirical Approach to Interpreter Performance Evaluation and Pedagogy
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In: http://www.erudit.org/livre/meta/2005/000215co.pdf
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| 1702 |
Analysing Parallel Texts with ParaConc
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In: http://gandalf.aksis.uib.no/allc/barlow.pdf
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| 1703 |
Analyzing Idioms and Their Frequency in Three Advanced ILI Textbooks: A Corpus-Based Study
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In: http://ccsenet.org/journal/index.php/elt/article/viewFile/43439/23666/
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| 1704 |
Building an Annotated English-Vietnamese Parallel Corpus for Training Vietnamese-related NLPs
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In: http://www.ptithcm.edu.vn/ICEIC2004/Part I - Oral Sessions/Session J 1/4-Building an Annotated English-Vietnamese Parallel Corpus….pdf
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| 1705 |
Visualizing Variation in Collections of Translations and Adaptations of Cultural Heritage Texts
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In: http://cs.swansea.ac.uk/~csbob/research/textVis/cheesman14visualizing.pdf
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| 1706 |
OSAC: Open Source Arabic Corpora
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In: http://site.iugaza.edu.ps/msaad/wp-content/uploads/mksaad-OSAC-OpenSourceArabicCorpora-EECS10-rev9.pdf
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| 1707 |
The New IDS Corpus Analysis Platform: Challenges and Prospects
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/789_Paper.pdf
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| 1708 |
2006): “Avoiding Data Graveyards: From Heterogeneous Data Collected in Multiple Research Projects to Sustainable Linguistic Resources
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In: http://www1.uni-hamburg.de/exmaralda/Daten/4D-Literatur/EMELD_final.pdf
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| 1709 |
International Journal of Corpus Linguistics 16:4 (2011), 435–461. doi 10.1075/ijcl.16.4.01hil issn 1384–6655 / e-issn 1569–9811 © John Benjamins Publishing Company
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In: http://members.unine.ch/martin.hilpert/MCBM.pdf
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| 1710 |
OTTO: A Tool for Diplomatic Transcription of Historical Texts
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In: http://www.linguistics.ruhr-uni-bochum.de/~dipper/papers/lnai11_preprint.pdf
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| 1711 |
Unleashing the killer corpus: experiences in creating the multi-everything AMI Meeting Corpus
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In: http://homepages.inf.ed.ac.uk/jeanc/carletta.LREC-keynote06.pdf
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| 1712 |
1 Universals of Translation: A Corpus-based Investigation of Chinese Translated Fiction
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In: http://www.lancs.ac.uk/fass/projects/corpus/UCCTS2008Proceedings/papers/Yuan.pdf
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| 1713 |
QUANTITATIVE ANALYSIS OF TRANSLATION REVISION: CONTRASTIVE CORPUS RESEARCH ON NATIVE ENGLISH AND CHINESE TRANSLATIONESE
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In: http://eprints.lancs.ac.uk/41883/1/Rayson_P_Et_Al_fit2008.pdf
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| 1714 |
Nordic Journal of African Studies 11(2): 249-265 (2002) TOWARDS AN 11 X 11 ARRAY FOR THE DEGREE OF CONJUNCTIVISM / DISJUNCTIVISM OF THE SOUTH AFRICAN LANGUAGES
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In: http://tshwanedje.com/publications/11x11.pdf
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| 1715 |
Annotation of negotiation processes in joint action dialogues
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In: http://elanguage.net/journals/dad/article/viewFile/2842/3566/
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| 1716 |
Research Track Poster Mining Comparable Bilingual Text Corpora for Cross-Language Information Integration
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In: http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p691.pdf
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Abstract:
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of direct translations of text. In this paper, we propose a general cross-lingual text mining method that does not rely on any of these resources, but can exploit comparable bilingual text corpora to discover mappings between words and documents in different languages. Comparable text corpora are collections of text documents in different languages that are about similar topics; such text corpora are often naturally available (e.g., news articles in different languages published in the same time period). The main idea of our method is to exploit frequency correlations of words in different languages in the comparable corpora and discover mappings between words in different languages. Such mappings can then be used to further discover mappings between documents in different languages, achieving cross-lingual information integration. Evaluation of the proposed method on a 120MB Chinese-English comparable news collection shows that the proposed method is effective for mapping words and documents in English and Chinese. Since our method only relies on naturally available comparable corpora, it is generally applicable to any language pairs as long as we have comparable corpora.
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Keyword:
Algorithms Keywords; Categories and Subject Descriptors; comparable corpora; Cross-lingual text mining; frequency correlation; H.3.3 [Information Search and Retrieval; Text Mining General Terms
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.1825
http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p691.pdf
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| 1717 |
Automatic Word Clustering in Studying Semantic Structure of Texts
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In: http://site.cicling.org/2009/RCS-41/027-034.pdf
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| 1719 |
Centre for Translation Studies
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In: http://www.aclweb.org/anthology-new/Y/Y10/Y10-1089.pdf
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| 1720 |
Multi Dialect Arabic Speech Parallel Corpora
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In: http://www.cs.bham.ac.uk/~kaa846/papers/Multi_Dialect_Arabic_Speech_Parallel_Corpora.pdf
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