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1
Patterns: An Increase in
In: http://www.uk-cla.org.uk/files/proceedings/Hartmann.pdf (2014)
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2
Spelling of Derivationally Complex Words: The Role of Phonological, Orthographic, and Morphological Features
In: http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article%3D6378%26context%3Detd (2014)
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3
Quantifying the value of pronunciation lexicons for keyword search in low resource languages
In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013)
Abstract: This paper quantifies the value of pronunciation lexicons in large vocabulary continuous speech recognition (LVCSR) systems that support keyword search (KWS) in low resource languages. State-of-the-art LVCSR and KWS systems are developed for conver-sational telephone speech in Tagalog, and the baseline lexicon is augmented via three different grapheme-to-phoneme models that yield increasing coverage of a large Tagalog word-list. It is demon-strated that while the increased lexical coverage — or reduced out-of-vocabulary (OOV) rate — leads to only modest (ca 1%-4%) improvements in word error rate, the concomitant improvements in actual term weighted value are as much as 60%. It is also shown that incorporating the augmented lexicons into the LVCSR system before indexing speech is superior to using them post facto, e.g., for approximate phonetic matching of OOV keywords in pre-indexed lattices. These results underscore the disproportionate importance of automatic lexicon augmentation for KWS in morphologically rich languages, and advocate for using them early in the LVCSR stage.
Keyword: Index Terms — Speech Recognition; Informa- tion Retrieval; Keyword Search; large; Morphology; Speech Synthesis 1. LOW-RESOURCE KEYWORD SEARCH Thanks in part to the falling costs of storage and t
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.401
http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf
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4
1 Quantifier Words And Their Multi-functional(?) Parts*
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
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
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
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/1077_Paper.pdf (2012)
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8
Reviewed by:
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
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
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
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
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
Ahmed Khorsi. - 2010
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14
Morphological Alternations at the Intonational Phrase Edge The Case of K’ichee’
In: http://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article%3D1025%26context%3Denglishfrp (2009)
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15
General
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
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
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
In: http://wordnet.princeton.edu/wordnet/publications/poznan.springer.pdf (2009)
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19
O.: Unsupervised Morpheme Discovery with Allomorfessor
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
In: http://ufal.mff.cuni.cz/~zeman/publikace/2007-01/mc2007.pdf (2007)
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