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Syllable weight and morphophonologically induced resyllabification in Maghrebi Arabic
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In: Syllable Weight in African Languages ; https://halshs.archives-ouvertes.fr/halshs-01966328 ; Paul Newman. Syllable Weight in African Languages, John Benjamins, pp.49-68, 2017, Current Issues in Linguistic Theory, 9789027248572. ⟨10.1075/cilt.338.03sou⟩ (2017)
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Syllable weight and morphophonologically induced resyllabification in Maghrebi Arabic
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In: Syllable Weight in African Languages ; https://halshs.archives-ouvertes.fr/halshs-01966328 ; Paul Newman. Syllable Weight in African Languages, John Benjamins, pp.49-68, 2017, Current Issues in Linguistic Theory, 9789027248572. ⟨10.1075/cilt.338.03sou⟩ (2017)
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3 |
The Hausa Lexicographic Tradition
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In: Lexikos, Vol 11 (2011) (2011)
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4 |
Copyright Essentials for Linguists
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In: Language Documentation & Conservation, Vol 1, Iss 1 (2007) (2007)
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5 |
Comparative Chadic revisited
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In: Studies in African Linguistics, Vol 35 (2006) (2006)
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6 |
Internal evidence for final vowel lowering in Hausa
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In: Studies in African Linguistics, Vol 21, Iss 2 (1990) (1990)
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Low tone raising in Hausa a critical assessment
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In: Studies in African Linguistics, Vol 20, Iss 3 (1989) (1989)
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8 |
LTR a response to Schuh
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In: Studies in African Linguistics, Vol 20, Iss 3 (1989) (1989)
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Tone and affixation in Hausa
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In: Studies in African Linguistics, Vol 17, Iss 3 (1986) (1986)
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10 |
Ethonyms in Hausa
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In: Studies in African Linguistics, Vol 15, Iss 3 (1984) (1984)
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11 |
I. Central characters: (a) Linguist/Depositor; (b) Archive
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In: http://www.ailla.utexas.org/site/lsa_olac09/newman_lsa_olac09.pdf
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Mapping Spatial Language to Sensor Models
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In: http://www.jamiefrost.co.uk/research/papers/ICRA_MappingSpatialLanguageToSensorModels-JamieFrost.pdf
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Abstract:
Abstract — Spatial descriptions are fundamental to our ability to carry out spatially-oriented tasks, whether they be locating an object, describing an object, following directions or esti-mating the shape and location of an unknown object given descriptions concerning it. In this paper we examine the latter of these, and present a novel approach to convert linguistic descriptions to sensor models which can in turn be used in an occupancy grid map. This is generative enough to support observations on both a local and macroscopic level without loss of efficiency, and allows an estimate of the shape of the object to be made. We would like to endow a robot with similar competencies. We examine how various spatial relations such as ‘between ’ and ‘in front of ’ can be represented as functional models, and make use of quad tree structures to minimise the data stored in the occupancy grid map. I.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.576.482 http://www.jamiefrost.co.uk/research/papers/ICRA_MappingSpatialLanguageToSensorModels-JamieFrost.pdf
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13 |
Copyright Essentials for Linguists
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In: http://scholarspace.manoa.hawaii.edu/bitstream/10125/1724/6/newman.pdf
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