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Hits 1 – 20 of 77

1	A Fast Implementation of Rules Based Machine Translation Systems for Similar Natural Languages
	In: http://www.informatica.si/PDF/37-4/31_Vicic - A Fast Implementation of Rules Based Machine Translation Systems for Similar Natural Languages.pdf (2013)
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2	L1 transfer in article selection for generic reference by Spanish, Turkish and Japanese L2 learners
	English Studies Ijes; Neal Snape; María Del...
	In: http://revistas.um.es/ijes/article/download/138701/147991/ (2011)
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3	Networks uncover hidden lexical borrowing in Indo-European language evolution
	Shijulal Nelson-sathi; Johann-mattis List; Hans Geisler...
	In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/17/32/Proc_Biol_Sci_2011_Jun_22_278(1713)_1794-1803.tar.gz (2010)
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4	Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings.
	Eiji Yamamura
	In: http://mpra.ub.uni-muenchen.de/27181/1/submanu_101112.pdf (2010)
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5	Knowledge transformation for cross-domain sentiment classification
	Tao Li; Chris Ding
	In: http://users.cis.fiu.edu/~taoli/pub/sigir09-p716-li.pdf (2009)
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6	Loan Words Get By with Little Help from Do Non-native Entities and Structures
	Takashi Nakajima
	In: http://www.cl.uni-heidelberg.de/~holler/bamberg/DGfS_Handout_Nakajima.pdf (2008)
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7	Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings.
	Technology Transfer; An Economic; Eiji Yamamura
	In: http://mpra.ub.uni-muenchen.de/10305/1/MPRA_paper_10305.pdf (2008)
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8	EVect of
	A. Barneaa; A. Rassisa; E. Zaidelc
	In: http://www.hebpsy.net/bf/P3cOms4ZJPOtjjUHgI4o.pdf (2004)
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9	World Scientific Publishing Company Machine Translation of English Noun Phrases into Arabic
	Khaled Shaalan; Ahmed Rafea; Azza Abdel Monem...
	In: http://mti.ugm.ac.id/~adji/courses/resources/doctor/WorldSci/2004/Jun/MTenglish-arabNoun04.pdf (2004)
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10	Experiments with a Hindi-toEnglish transfer-based MT system under a miserly data scenario
	Alon Lavie; Stephan Vogel; Lori Levin; Erik Peterson; Katharina Probst; Ariadna Font; Rachel Reynolds; Jaime Carbonell; Richard Cohen
	In: http://www.mt-archive.info/TALIP-2003-Lavie.pdf (2003)
	Abstract: We describe an experiment designed to evaluate the capabilities of our trainable transfer-based (Xfer) machine translation approach, as applied to the task of Hindi-to-English translation, and trained under an extremely limited data scenario. We compare the performance of the Xfer approach with two corpus-based approaches – Statistical MT (SMT) and Example-based MT (EBMT) – under the limited data scenario. The results indicate that the Xfer system significantly outperforms both EBMT and SMT in this scenario. Results also indicate that automatically learned transfer rules are effective in improving translation performance, compared with a baseline word-to-word translation version of the system. Xfer system performance with a limited number of manually written transfer rules is, however, still better than the current automatically inferred rules. Furthermore, a “multi-engine ” version of our system that combined the output of the Xfer
	Keyword: Categories and Subject Descriptors; Evaluation; Example-based Machine Translation; Hindi; I.2.7 [Artificial Intelligence; Limited Data Resources; Machine Learning; Machine Translation Additional Key Words and Phrases; Multi-Engine Machine Translation; Natural Language Processing—Machine Translation General Terms; Statistical Translation; Transfer Rules
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.7140 http://www.mt-archive.info/TALIP-2003-Lavie.pdf
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11	UNL Lexical Selection with Conceptual Vectors
	Mathieu Lafourcade; Christian Boitet
	In: http://www.lrec-conf.org/proceedings/lrec2002/pdf/354.pdf (2002)
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12	Transfer effects of repeated EFL reading on reading new passages: A Preliminary investigation. Reading in a Foreign Language
	Etsuo Taguchi; Greta J. Gorsuch
	In: http://nflrc.hawaii.edu/rfl/April2002/taguchi/taguchi.pdf (2002)
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13	Resource Alignment and Implicit Transfer
	Jean Senellart; Mirko Plitt; Christophe Bailly...
	In: http://www.mt-archive.info/MTS-2001-Senellart-2.pdf (2001)
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14	Rapid assembly of a large-scale French-English MT system
	Jessie Pinkham; Monica Corston-oliver; Martine Smets...
	In: http://research.microsoft.com/nlp/publications/mtsummit01-fesystem-final.pdf (2001)
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15	On UNL as the future html of the linguistic content and the reuse of existing NLP components in UNL-related applications with the example of a UNL-French deconverter
	Gilles Serasset; Christian Boitet
	In: http://www-clips.imag.fr/geta/gilles.serasset/GSCB-COLING2000.pdf (2000)
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16	On UNL as the future "html of the linguistic content" & the reuse of existing NLP components in UNL-related applications with the example of a UNL-French deconverter
	Gilles Sérasset; Christian Boitet
	In: http://acl.ldc.upenn.edu/C/C00/C00-2111.pdf (2000)
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17	On UNL as the future "html of the linguistic content" the reuse of existing NLP components in UNL-related applications with the example of a UNL-French deconverter
	Gilles Serasset; Christian Boitet
	In: http://nlp3.korea.ac.kr/proceeding/coling2000/COLING/ps/111.ps (2000)
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18	From Robotic Toil to Symbolc Theft: Grounding Transfer from Entry-Level to Higher-Level Categories
	Angelo Cangelosi; Alberto Greco; Stevan Harnad
	In: http://www.tech.plym.ac.uk/soc/staff/angelo/papers/Cangelosi-ConnScie2000.pdf (2000)
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19	Extendible Structural Transfer: A Case For German To Turkish Translation
	Selçuk Köprü
	In: ftp://ftp.lcsl.metu.edu.tr/pub/theses/kopru-ms-99.ps.gz (1999)
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20	Structural Transfer In An English To Turkish Machine Translation System
	Cigdem Keyder Turhan; Fato��s Yarman Vural; Prof Dr...
	In: ftp://ftp.lcsl.metu.edu.tr/pub/theses/keyderturhan-phd-98.ps.gz (1998)
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