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LETHE : Deutsch lernen mit Konzept : ein ganzheitliches Konzept für den systematischen Lese-Schreib-Sprechaufbau in der Sprache Deutsch unter Einbeziehung und Berücksichtigung kognitiver wie persönlicher Entwicklungen
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BLLDB
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UB Frankfurt Linguistik
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| 7 |
How Evolution May Work Through Curiosity-Driven Developmental Process
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In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.inria.fr/hal-01404334 ; Topics in cognitive science, Wiley, 2016, 8, ⟨10.1111/tops.12196⟩ ; https://www.ncbi.nlm.nih.gov/pubmed/26969919 (2016)
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Contextual modulation of hippocampal activity during picture naming
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In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-01431304 ; Brain and Language, Elsevier, 2016, 159, pp.92-101. ⟨10.1016/j.bandl.2016.05.011⟩ (2016)
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| 11 |
Laff-O-Tron: Laugh Prediction in TED Talks
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In: Master's Theses (2016)
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| 12 |
Exploiting phonological constraints for handshape recognition in sign language video
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Abstract:
The ability to recognize handshapes in signing video is essential in algorithms for sign recognition and retrieval. Handshape recognition from isolated images is, however, an insufficiently constrained problem. Many handshapes share similar 3D configurations and are indistinguishable for some hand orientations in 2D image projections. Additionally, significant differences in handshape appearance are induced by the articulated structure of the hand and variants produced by different signers. Linguistic rules involved in the production of signs impose strong constraints on the articulations of the hands, yet, little attention has been paid towards exploiting these constraints in previous works on sign recognition. Among the different classes of signs in any signed language, lexical signs constitute the prevalent class. Morphemes (or, meaningful units) for signs in this class involve a combination of particular handshapes, palm orientations, locations for articulation, and movement type. These are thus analyzed by many sign linguists as analogues of phonemes in spoken languages. Phonological constraints govern the ways in which phonemes combine in American Sign Language (ASL), as in other signed and spoken languages; utilizing these constraints for handshape recognition in ASL is the focus of the proposed thesis. Handshapes in monomorphemic lexical signs are specified at the start and end of the sign. The handshape transition within a sign are constrained to involve either closing or opening of the hand (i.e., constrained to exclusively use either folding or unfolding of the palm and one or more fingers). Furthermore, akin to allophonic variations in spoken languages, both inter- and intra- signer variations in the production of specific handshapes are observed. We propose a Bayesian network formulation to exploit handshape co-occurrence constraints also utilizing information about allophonic variations to aid in handshape recognition. We propose a fast non-rigid image alignment method to gain improved robustness to handshape appearance variations during computation of observation likelihoods in the Bayesian network. We evaluate our handshape recognition approach on a large dataset of monomorphemic lexical signs. We demonstrate that leveraging linguistic constraints on handshapes results in improved handshape recognition accuracy. As part of the overall project, we are collecting and preparing for dissemination a large corpus (three thousand signs from three native signers) of ASL video annotated with linguistic information such as glosses, morphological properties and variations, and start/end handshapes associated with each ASL sign.
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Keyword:
American Sign Language; American Sign Language lexicon video dataset; Computer science; Handshape recognition; Probabilistic models; Variational Bayes learning
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URL: https://hdl.handle.net/2144/14076
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| 14 |
Towards a well-being focussed language pedagogy: enabling arts-based, multilingual learning spaces for young people with refugee backgrounds
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| 15 |
Receptive verb knowledge in the second year of life: an eye-tracking study
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| 16 |
A Deep Learning Approach to Text Simplification
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In: Senior Projects Spring 2016 (2016)
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| 17 |
Extraction de relations d'hyperonymie à partir de Wikipédia
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 : volume3 RECITAL ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016 ; https://hal.archives-ouvertes.fr/hal-01873749 ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016, Jul 2016, Paris, France. pp. 40-51 (2016)
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| 18 |
Error typology and remediation strategies for requirements written in English by non-native speakers
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In: Proceedings of the 10th International Conference on Language Resources and Evaluation ; 10th International Conference on Language Resources and Evaluation (LREC 2016) ; https://hal.archives-ouvertes.fr/hal-01445142 ; 10th International Conference on Language Resources and Evaluation (LREC 2016), May 2016, Porotroz, Slovenia. pp. 190-197 (2016)
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| 19 |
Modèles adaptatifs pour prédire automatiquement la compétence lexicale d'un apprenant de français langue étrangère
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 ; JEP-TALN-RECITAL 2016 ; https://hal.archives-ouvertes.fr/hal-01631772 ; JEP-TALN-RECITAL 2016, Jan 2016, Paris, France (2016)
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| 20 |
Improving the Use of English in Requirements
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In: Requirements Engineering Magazine ; https://hal.archives-ouvertes.fr/hal-01446902 ; Requirements Engineering Magazine, 2016, vol. 6 (n° 3), pp. 1-14 (2016)
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