The Experts below are selected from a list of 1137 Experts worldwide ranked by ideXlab platform
Roland Pfau - One of the best experts on this subject based on the ideXlab platform.
-
Inuit Sign Language: a contribution to sign Language Typology
2020Co-Authors: Joke Schuit, Anne Baker, Roland PfauAbstract:Sign Language Typology is a fairly new research field and typological classifications have yet to be established. For spoken Languages, these classifications are generally based on typological parameters; it would thus be desirable to establish these for sign Languages. In this paper, different typological aspects of sign Languages are described. With respect to their potential contribution towards a typological classification, data from Inuit Sign Language regarding verb agreement and classifiers will be considered. We will suggest two classifications based on these morphosyntactic parameters.
-
Positive signs – How sign Language Typology benefits deaf communities and linguistic theory
Linguistic Typology, 2016Co-Authors: Roland Pfau, Ulrike ZeshanAbstract:Sign Language Typology is the systematic comparative study of linguistic structures across sign Languages, and has emerged as a separate linguistic sub-discipline over the past 15 years. It is situated at the crossroads between linguistic Typology and sign Language linguistics, the latter itself a relatively young discipline with its roots in the 1960s and 70s (McBurney 2001). The cross-fertilisation initiated by the advent of sign Language Typology is obvious: Typologists gain an entirely new dimension in their study of linguistic diversity, and sign Language linguists gain a rich tool box of concepts and methods for discovering typological patterns across sign Languages. Beyond theory and methodology, the impact that sign Language Typology research has on the deaf communities who are the primary users of these Languages is discussed in Section 2. Section 3 discusses some areas in which sign Language Typology has made unique contributions to linguistic theory and has prompted discussions that may otherwise not have come to the surface.
-
Sign Language Typology: The contribution of rural sign Languages
Annual Review of Linguistics, 2015Co-Authors: Roland PfauAbstract:Since the 1990s, the field of sign Language Typology has shown that sign Languages exhibit typological variation at all relevant levels of linguistic description. These initial typological comparisons were heavily skewed toward the urban sign Languages of developed countries, mostly in the Western world. This review reports on the recent contributions made by rural signing varieties, that is, sign Languages that have evolved in village communities, often in developing countries, due to a high incidence of deafness. With respect to a number of structural properties, rural sign Languages fit into previously established typological classifications. However, they also exhibit unique and typologically marked features that challenge received views on possible sign Languages. At the same time, the shared features of geographically dispersed rural signing varieties provide a unique window into the social dynamics that may shape the structures of modern human Languages.
-
Inuit Sign Language : a contribution to sign Language Typology
ACLC Working Papers, 2011Co-Authors: Joke Schuit, Anne Baker, Roland PfauAbstract:Sign Language Typology is a fairly new research field and typological classifications have yet to be established. For spoken Languages, these classifications are generally based on typological parameter; it would thus be desirable to establish these for sign Languages. In this paper, different typological aspects sign Languages. In this paper, different typological aspects of sign Languages are described. With respect to their potential contribution towards a typological classification, data from Inuit Sign Language regarding verb agreement and clssifiers will be considered. We eill suggest two classifications based on these morphosyntactic parameters.
Ulrike Zeshan - One of the best experts on this subject based on the ideXlab platform.
-
Interrogative and Negative Constructions in Sign Language - Interrogative and Negative Constructions in Sign Languages
2020Co-Authors: Ulrike ZeshanAbstract:THE FIRST VOLUME IN THE SIGN Language Typology SERIES includes data on interrogative and negative constructions from 35 sign Languages around the world. In a truly pioneering undertaking, the editor and the contributors from eight different countries open up to the reader the universe of typological diversity across sign Languages. In-depth studies of questions and negation in six sign Languages constitute the central part of the book, augmented by shorter contributions from another four sign Languages, as well as an introductory theoretical section. The accompanying CD includes several hundred video clips in easily accessible MPG format. A subject index and original research materials are also included in the book More
-
Sign Language Typology
The Cambridge Handbook of Linguistic Typology, 2017Co-Authors: Ulrike Zeshan, Nicholas Barrie PalfreymanAbstract:Sign Language Typology is the study of Languages that use the visual-gestural rather than the auditory-vocal modality, and allows typologists to consider issues of Language modality alongside typological patterns. Modality effects may be absolute, where features exist only in one of the modalities, or relative, where features are more frequent in one modality than the other. Sign Language typologists, while widening the scope of typological investigations, are also concerned with many of the same issues as spoken Language typologists, such as areal Typology, grammaticalisation, and methodological questions. Although sign Language Typology is one of the more recent areas to emerge in the field, several studies have examined domains of linguistic structures in over 30 sign Languages, and we focus on key findings from research in the domains of interrogatives, negation, possession, and numerals. The aim of the chapter is not to give comprehensive overviews of each domain, but rather to highlight issues of general relevance. We conclude with reflections on the emerging field of cross-modal Typology, where data from spoken and signed Languages are systematically included. This endeavour may necessitate the redefinition of terms and concepts, and will present new challenges for spoken and sign Language typologists alike.
-
Positive signs – How sign Language Typology benefits deaf communities and linguistic theory
Linguistic Typology, 2016Co-Authors: Roland Pfau, Ulrike ZeshanAbstract:Sign Language Typology is the systematic comparative study of linguistic structures across sign Languages, and has emerged as a separate linguistic sub-discipline over the past 15 years. It is situated at the crossroads between linguistic Typology and sign Language linguistics, the latter itself a relatively young discipline with its roots in the 1960s and 70s (McBurney 2001). The cross-fertilisation initiated by the advent of sign Language Typology is obvious: Typologists gain an entirely new dimension in their study of linguistic diversity, and sign Language linguists gain a rich tool box of concepts and methods for discovering typological patterns across sign Languages. Beyond theory and methodology, the impact that sign Language Typology research has on the deaf communities who are the primary users of these Languages is discussed in Section 2. Section 3 discusses some areas in which sign Language Typology has made unique contributions to linguistic theory and has prompted discussions that may otherwise not have come to the surface.
Boris Katz - One of the best experts on this subject based on the ideXlab platform.
-
reconstructing native Language Typology from foreign Language usage
arXiv: Computation and Language, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native Language properties on linguistic performance in a foreign Language. In this work we provide empirical evidence for this process in the form of a strong correlation between Language similarities derived from structural features in English as Second Language (ESL) texts and equivalent similarities obtained from the typological features of the native Languages. We leverage this finding to recover native Language typological similarity structure directly from ESL text, and perform prediction of typological features in an unsupervised fashion with respect to the target Languages. Our method achieves 72.2% accuracy on the Typology prediction task, a result that is highly competitive with equivalent methods that rely on typological resources.
-
reconstructing native Language Typology from foreign Language usage
Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
-
CoNLL - Reconstructing Native Language Typology from Foreign Language Usage
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
Yevgeni Berzak - One of the best experts on this subject based on the ideXlab platform.
-
Universal Dependencies 1.4
2016Co-Authors: Joakim Nivre, Željko Agić, Lars Ahrenberg, Maria Jesus Aranzabe, Masayuki Asahara, Aitziber Atutxa, Miguel Ballesteros, John Bauer, Kepa Bengoetxea, Yevgeni BerzakAbstract:Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many Languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a Language Typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008).
-
reconstructing native Language Typology from foreign Language usage
arXiv: Computation and Language, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native Language properties on linguistic performance in a foreign Language. In this work we provide empirical evidence for this process in the form of a strong correlation between Language similarities derived from structural features in English as Second Language (ESL) texts and equivalent similarities obtained from the typological features of the native Languages. We leverage this finding to recover native Language typological similarity structure directly from ESL text, and perform prediction of typological features in an unsupervised fashion with respect to the target Languages. Our method achieves 72.2% accuracy on the Typology prediction task, a result that is highly competitive with equivalent methods that rely on typological resources.
-
reconstructing native Language Typology from foreign Language usage
Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
-
CoNLL - Reconstructing Native Language Typology from Foreign Language Usage
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
Roi Reichart - One of the best experts on this subject based on the ideXlab platform.
-
reconstructing native Language Typology from foreign Language usage
arXiv: Computation and Language, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native Language properties on linguistic performance in a foreign Language. In this work we provide empirical evidence for this process in the form of a strong correlation between Language similarities derived from structural features in English as Second Language (ESL) texts and equivalent similarities obtained from the typological features of the native Languages. We leverage this finding to recover native Language typological similarity structure directly from ESL text, and perform prediction of typological features in an unsupervised fashion with respect to the target Languages. Our method achieves 72.2% accuracy on the Typology prediction task, a result that is highly competitive with equivalent methods that rely on typological resources.
-
reconstructing native Language Typology from foreign Language usage
Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
-
CoNLL - Reconstructing Native Language Typology from Foreign Language Usage
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014Co-Authors: Yevgeni Berzak, Roi Reichart, Boris KatzAbstract:This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.
