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Semantic Interpretation of Noun Compounds Using Verbal and Other Paraphrases
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In: http://people.ischool.berkeley.edu/~hearst/papers/acm_tslp_2013.pdf (2013)
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A Fast Implementation of Rules Based Machine Translation Systems for Similar Natural Languages
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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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www.internationalscholarsjournals.org © International Scholars Journals
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In: http://internationalscholarsjournals.org/download.php?id%3D820897252832435668.pdf%26op%3D1%26type%3Dapplication/pdf (2013)
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Abstract:
This paper attempts to compare between the advancements in the productivity of Arabic into English Machine Translation Systems between two years, 2008 and 2013. It also aims to evaluate the progress achieved by various systems of Arabic into English electronic translation between the two years. For tracing such advancement, a comparative analysis of translated texts taken from previous studies were re-evaluated according to certain criteria by focusing on the functional characteristics and sub-characteristics of the output: reliability, fidelity, terminology, and syntax. This re-evaluation proposes to develop metrics related to these four functional criteria. The data used in this study are the same five text-genres that have been evaluated by one of the researchers in 2008 that covered technical, legal, literary, journalistic, and economic topics translated from Arabic into English using seven Machine Translation systems: Google, Ajeeb, Professional Translator, 1-800-translate, World lingo, Tran Sphere, and An-Nakel. The translated texts were analyzed to identify errors, deficiencies, limitations, and loss of meaning. Results of this analysis were compared with those findings achieved in 2008 so as to bring together complementary innovative progress in the production of Machine Translation. The findings revealed certain advancement in the translated production of Google system compared with the deficiencies of the other six systems in all the functional characteristics of the output.
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Keyword:
Arabic into English translation; functional characteristics of output; Key words; Machine translation evaluation
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URL: http://internationalscholarsjournals.org/download.php?id%3D820897252832435668.pdf%26op%3D1%26type%3Dapplication/pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.6556
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| 4 |
Parallel Aligned Treebanks at LDC: New Challenges Interfacing Existing Infrastructures
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/277_Paper.pdf (2012)
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| 5 |
Automatic MT Error Analysis: Hjerson Helping Addicter
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In: http://ufal.mff.cuni.cz/~bojar/publications/2012-FILE-addicter_lrec2012-2012-lrec-hjerson-helping-addicter.pdf (2012)
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| 6 |
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/444_Paper.pdf (2012)
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| 7 |
Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns
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In: http://publications.idiap.ch/downloads/papers/2012/Popescu-Belis_LREC_2012.pdf (2012)
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| 8 |
Improving Sampling-based Alignment by Investigating the Distribution of N-grams in Phrase Translation Tables ⋆
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In: http://hal.inria.fr/docs/00/74/73/69/PDF/LuoLardilleuxLepage_PACLIC25.pdf (2012)
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| 9 |
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
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In: http://www.nclt.dcu.ie/mt/papers/pavel_LREC_2012b.pdf (2012)
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| 10 |
Dealing with input noise in statistical machine translation.” COLING
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In: http://aclweb.org/anthology/C/C12/C12-2032.pdf (2012)
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| 11 |
Alignment-based reordering for SMT
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/1000_Paper.pdf (2012)
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| 12 |
ANN and Rule Based Method for English to Arabic Machine Translation
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In: http://www.ccis2k.org/iajit/PDF/vol.11,no.4/5308.pdf (2012)
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| 13 |
ANN and Rule Based Method for English to Arabic Machine Translation IAJIT First Online Publication
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| 14 |
Pexacc: A parallel sentence mining algorithm from comparable corpora
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/382_Paper.pdf (2012)
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| 15 |
Identifying Bilingual Multi-Word Expressions for Statistical Machine Translation
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In: http://www.mt-archive.info/LREC-2012-Bouamor-1.pdf (2012)
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Looking inside the box: context-sensitive translation for cross-language information retrieval
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In: http://terpconnect.umd.edu/~oard/pdf/sigir12-ture.pdf (2012)
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Active Learning and Crowdsourcing for Machine Translation in Low Resource Scenarios
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In: http://www.lti.cs.cmu.edu/research/thesis/2011/vamshi_ambati.pdf (2012)
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| 18 |
Identifying bilingual multi-word expressions for statistical machine translation
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/886_Paper.pdf (2012)
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| 19 |
Collection of a large database of French-English SMT output corrections
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/506_Paper.pdf (2012)
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| 20 |
Translation Rules and ANN Based Model for English to Urdu Machine Translation
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In: http://www.dcc.ufla.br/infocomp/images/artigos/v10.3/art04.pdf (2011)
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