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Patterns: An Increase in
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In: http://www.uk-cla.org.uk/files/proceedings/Hartmann.pdf (2014)
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Spelling of Derivationally Complex Words: The Role of Phonological, Orthographic, and Morphological Features
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In: http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article%3D6378%26context%3Detd (2014)
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Quantifying the value of pronunciation lexicons for keyword search in low resource languages
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In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013)
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| 4 |
1 Quantifier Words And Their Multi-functional(?) Parts*
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In: http://semanticsarchive.net/Archive/GIxYWYyY/szabolcsi_whang_zu_quantifier_words_march_2013.pdf (2013)
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| 5 |
Reconstructing the *s- prefix in Old Chinese
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In: http://hal.inria.fr/docs/00/78/11/53/PDF/MeiResponseTNR_Doulos_LS_final_Nov_14_2011.pdf (2013)
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| 6 |
The romanian neuter examined through a two-gender n-gram classification system
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/651_Paper.pdf (2012)
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| 7 |
A finite-state morphological transducer for Kyrgyz
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/1077_Paper.pdf (2012)
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| 8 |
Reviewed by:
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/f2/9a/Front_Psychol_2011_Oct_25_2_282.tar.gz (2011)
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| 9 |
Non-Canonical Inflection: Data, Formalisation and Complexity Measures
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In: http://hal.inria.fr/docs/00/61/53/06/PDF/sfcm11.pdf (2011)
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| 10 |
Using Kohonen Maps of Chinese Morphological Families to Visualize the Interplay of Morphology and Semantics in Chinese
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In: http://wing.comp.nus.edu.sg/~antho/O/O11/O11-2005.pdf (2010)
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| 11 |
Developing Punjabi Morphology, Corpus and Lexicon. The 24th Pacific Asia conference on Language, Information and Computation
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In: http://www.lama.univ-savoie.fr/~humayoun/punjabi/downloads/Punjabi-paper-paclic24.pdf (2010)
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| 12 |
A cross-linguistic model of the acquisition of inflectional morphology
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In: http://www.psyc.bbk.ac.uk/research/DNL/personalpages/cogsci2010-Karaminis-Thomas-MIG.pdf (2010)
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| 13 |
Effective Unsupervised Arabic Word Stemming: Towards an Unsupervised Radicals Extraction IAJIT First Online Publication
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Abstract:
Abstract: This paper presents a new totally unsupervised and 90 % effective stemming approach for classical Arabic. This stemming is meant to be a preparatory step to an unsupervised root (i.e., radicals) extraction. As a learning input, our stemming system requires no linguistic knowledge but a plain classical Arabic text. Once the learning input analyzed, our stemming system is able to extract the strongest segment of a given length, namely the stem. We start by a definition of the targeted stem, then, we show how our system performs about 90 % true positives after a leaning of less than 15000 words. Unlike the other unsupervised approaches, ours does not suppose the perfectness of the input text and deals efficiently with the eventual (practically very frequent) misspellings. The test corpus we have used is an ultimate reference in the classical Arabic and its labeling has been rigorously done by a team of experts.
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Keyword:
and semitic languages; classical arabic; Computational morphology; machine learning; natural language processing
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.402.440
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| 14 |
Morphological Alternations at the Intonational Phrase Edge The Case of K’ichee’
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In: http://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article%3D1025%26context%3Denglishfrp (2009)
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| 15 |
General
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In: http://uu.diva-portal.org/smash/get/diva2%3A275878/FULLTEXT03.pdf (2009)
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| 16 |
A corpus-based survey of four electronic Swahili–English bilingual dictionaries
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In: http://www.ajol.info/index.php/lex/article/viewFile/49134/35479/ (2009)
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| 17 |
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
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In: http://clef.isti.cnr.it/2009/working_notes/morpho-papers/bernhard-paperCLEF2009.pdf (2009)
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| 18 |
Putting semantics into WordNet’s ”morphosemantic” links
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In: http://wordnet.princeton.edu/wordnet/publications/poznan.springer.pdf (2009)
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| 19 |
O.: Unsupervised Morpheme Discovery with Allomorfessor
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In: http://research.ics.aalto.fi/events/morphochallenge2009/papers/virpioja-paperCLEF2009.pdf (2009)
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| 20 |
Unsupervised Acquiring of Morphological Paradigms from Tokenized Text
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In: http://ufal.mff.cuni.cz/~zeman/publikace/2007-01/mc2007.pdf (2007)
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