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1
Observation of $B^0_s\to\bar{D}^0 K^0_S$ and evidence for $B^0_s\to\bar{D}^{*0} K^0_S$ decays
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2
Exploiting Linguistic Knowledge to Infer Properties of Neologisms
Cook, C. Paul. - 2010
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3
Unsupervised Type and Token Identification of Idiomatic Expression
In: http://aclweb.org/anthology-new/J/J09/J09-1005.pdf (2009)
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4
Unsupervised type and token identification of idiomatic expressions
In: http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf (2009)
Abstract: Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is not clear exactly how people learn and understand them. They are of special interest to linguists, psycholinguists, and lexicographers, mainly because of their syntactic and semantic idiosyncrasies as well as their unclear lexical status. Despite a great deal of research on the properties of idioms in the linguistics literature, there is not much agreement on which properties are characteristic of these expressions. Because of their peculiarities, idiomatic expressions have mostly been overlooked by researchers in computational linguistics. In this article, we look into the usefulness of some of the identified linguistic properties of idioms for their automatic recognition. Specifically, we develop statistical measures that each model a specific property of idiomatic expressions by looking at their actual usage patterns in text. We use these statistical measures in a type-based classification task where we automatically separate idiomatic expressions (expressions with a possible idiomatic interpretation) from similar-on-the-surface literal phrases (for which no idiomatic interpretation is possible). In addition, we use some of the measures in a token identification task where we distinguish idiomatic and literal usages of potentially-idiomatic expressions in context. 1.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.8228
http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf
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5
The VNCTokens Dataset
In: http://www.cs.toronto.edu/~pcook/CFS2008.pdf (2008)
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6
The VNCTokens Dataset
In: http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf (2008)
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7
Classifying particle semantics in English verb-particle constructions
In: http://www.cs.toronto.edu/~pcook/CookStevenson2006.pdf (2006)
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8
Classifying particle semantics in English verb-particle constructions
In: http://www.aclweb.org/anthology-new/W/W06/W06-1207.pdf (2006)
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9
Stevenson Automatically Identifying the Source Words of Lexical Blends
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevensonCL2010.pdf (2004)
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10
Can cortical auditory evoked responses assist in the audiological management of infants referred with a diagnosis of auditory neuropathy because of atypical auditory responses?
Pearce, Wendy; Sharma, Mridula; Jones, Marian. - : Australian Academic Press, 2004
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11
A minimalist approach to L2 solves a dillemma of UG
In: Portraits of the L2 user. - Clevedon : Multilingual Matters (2002), 93-120
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12
The influence of family history of stuttering on the onset of stuttering in young children
In: Folia phoniatrica et logopaedica. - Basel : Karger 54 (2002) 3, 117-124
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13
The handbook of discourse analysis
Clarc, Herbert H. (Mitarb.); Sankoff, David (Mitarb.); Fleischman, Suzanne (Mitarb.). - Malden, Mass. [u.a.] : Blackwell, 2001
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UB Frankfurt Linguistik
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14
Proceedings of WSCLA 4
Dueck, Sandra (Mitarb.); Blake, Susan J. (Mitarb.); Beck, David (Mitarb.). - Vancouver, BC : Univ. of British Columbia, Dep. of Linguistics, 1999
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UB Frankfurt Linguistik
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15
Aspects of oral communication
Luckmann, Thomas (Mitarb.); Hess, Ursula (Mitarb.); Auer, Peter (Mitarb.). - Berlin [u.a.] : de Gruyter, 1995
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UB Frankfurt Linguistik
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16
Automagically Inferring the Source Words of Lexical Blends
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2007.pdf
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17
No sentence is too confusing to ignore
In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2010.pdf
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18
Automatically identifying the source words of lexical blends in English
In: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-1005.pdf
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19
Automagically Inferring the Source Words of Lexical Blends
In: http://hum.csse.unimelb.edu.au/pacling2007/pdf/PACLING200733.pdf
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20
A Machine Learning Approach to Multiword Expression Extraction
In: http://www.lrec-conf.org/proceedings/lrec2008/workshops/W20_Proceedings.pdf
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