@inproceedings{dimou:26029:sign-lang:lrec, author = {Dimou, Athanasia-Lida and Goulas, Theodoros and Tsatali, Marianna and Ntova, Tarsita and Hoffmann-Lamplmair, Doris and Fotinea, Stavroula-Evita and Efthimiou, Eleni and Teichmann, Birgit and Tsolaki, Magda and Atkinson, Joanna and Woll, Bencie}, title = {The {De-Sign} Platform: An Online Psychometric Tool for Dementia Screening of Deaf Older Adults in two Sign Languages, {GSL} and {{\"O}GS}}, pages = {113--119}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc}, booktitle = {Proceedings of the {LREC2026} 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion}, maintitle = {15th International Conference on Language Resources and Evaluation ({LREC} 2026)}, publisher = {{ELRA Language Resources Association (ELRA)}}, address = {Palma, Mallorca, Spain}, day = {16}, month = may, year = {2026}, isbn = {978-2-493814-82-1}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/26029.html}, doi = {10.63317/35c4iweidxm2}, abstract = {This article presents the De-Sign platform, a web-based psychometric tool specifically designed for screening dementia in Deaf older adults (50+) who use Austrian Sign Language and Greek Sign Language hereinafter {\"O}GS and GSL respectively. The limited access to dementia services for these populations is primarily attributed to a scarcity of healthcare professionals fluent in sign language. Hence, enhancing access to relevant diagnostic services has become a priority. Currently, there is a significant lack of screening tools specifically developed to identify early signs of dementia that are compatible with national sign languages. To address this issue, the De-Sign Erasmus+ (2022-2025) project has employed suitable psychometric instruments that are adapted to the cultural contexts and linguistic norms of Deaf communities in Austria and Greece. The only existing Cognitive Screening Test (CST) for British Sign Language (BSL), used for diagnosing dementia in Deaf older adults, was initially adapted from English by Atkinson et al. (2015). The De-Sign platform hosts a cognitive screening test in {\"O}GS and GSL. Both were linguistically and culturally adapted from the BSL-CST test, providing two web-based versions of a psychometric tool that enables dementia screening within these populations.} } @inproceedings{picron:24021:sign-lang:lrec, author = {Picron, Frankie and Van Landuyt, Davy and Omardeen, Rehana and Efthimiou, Eleni and Wolfe, Rosalee and Fotinea, Stavroula-Evita and Goulas, Theodoros and Tismer, Christian and Kopf, Maria and Hanke, Thomas}, title = {The {EASIER} Mobile Application and Avatar End-User Evaluation Methodology}, pages = {276--281}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc}, booktitle = {Proceedings of the {LREC-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources}, maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)}, publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}}, address = {Torino, Italy}, day = {25}, month = may, year = {2024}, isbn = {978-2-493814-30-2}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24021.html}, doi = {10.63317/3ujwci4s83h3}, abstract = {Here we report on the methodological approach adopted for the end-user evaluation studies carried out during the lifecycle of the EASIER project, focusing on the project's mobile app and avatar technologies. Evaluation was performed in two cycles and involved both deaf signers' and hearing sign language (SL) experts' groups from five SLs to provide user feedback, which served as a reference to base the next development steps of the respective EASIER components. With this goal in mind, priorities were (i) to exploit information gathered via focus group discussions after (ii) presenting evaluators with the technological components and related questionnaires fully accessible to signers to maximize feedback and underline the importance of user involvement in the development of the technology.} } @inproceedings{schulder:24034:sign-lang:lrec, author = {Schulder, Marc and Bigeard, Sam and Kopf, Maria and Hanke, Thomas and Kuder, Anna and W{\'o}jcicka, Joanna and Mesch, Johanna and Bj{\"o}rkstrand, Thomas and Vacalopoulou, Anna and Vasilaki, Kyriaki and Goulas, Theodoros and Fotinea, Stavroula-Evita and Efthimiou, Eleni}, title = {Signs and Synonymity: Continuing Development of the {Multilingual} {Sign} {Language} {Wordnet}}, pages = {343--353}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc}, booktitle = {Proceedings of the {LREC-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources}, maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)}, publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}}, address = {Torino, Italy}, day = {25}, month = may, year = {2024}, isbn = {978-2-493814-30-2}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24034.html}, doi = {10.63317/4mvt6a6nhif3}, abstract = {The Multilingual Sign Language Wordnet is the first publicly available wordnet resource for sign languages. It is a growing multilingual resource providing data for eight sign languages to date. During the initial phase of its creation, the focus lay on producing the infrastructure to support various languages and to produce initial sets of content for them. This article represents the start of the second phase, in which the focus is moved to establishing overlapping coverage across the different sign languages. Building on the data produced so far, a new feature to assist annotation is introduced which leverages established partial synonymy between signs (inter- and cross-lingually) to discover likely additional synonymies. Other improvements to the annotation interface and workflow build directly on the experiences from the first phase. Working with the updated annotation interface, new data is produced for Polish Sign Language, Greek Sign Language and Swedish Sign Language.} } @inproceedings{bigeard:22036:sign-lang:lrec, author = {Bigeard, Sam and Schulder, Marc and Kopf, Maria and Hanke, Thomas and Vasilaki, Kyriaki and Vacalopoulou, Anna and Goulas, Theodoros and Dimou, Athanasia-Lida and Fotinea, Stavroula-Evita and Efthimiou, Eleni}, title = {Introducing Sign Languages to a Multilingual Wordnet: Bootstrapping Corpora and Lexical Resources of {Greek} {Sign} {Language} and {German} {Sign} {Language}}, pages = {9--15}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Schulder, Marc}, booktitle = {Proceedings of the {LREC2022} 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources}, maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {25}, month = jun, year = {2022}, isbn = {979-10-95546-86-3}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/22036.html}, doi = {10.63317/4rue6p9a97i7}, abstract = {Wordnets have been a popular lexical resource type for many years. Their sense-based representation of lexical items and numerous relation structures have been used for a variety of computational and linguistic applications. The inclusion of different wordnets into multilingual wordnet networks has further extended their use into the realm of cross-lingual research. Wordnets have been released for many spoken languages. Research has also been carried out into the creation of wordnets for several sign languages, but none have yet resulted in publicly available datasets. This article presents our own efforts towards an inclusion of sign languages in a multilingual wordnet, starting with Greek Sign Language (GSL) and German Sign Language (DGS). Based on differences in available language resources between GSL and DGS, we trial two workflows with different coverage priorities. We also explore how synergies between both workflows can be leveraged and how future work on additional sign languages could profit from building on existing sign language wordnet data. The results of our work are made publicly available.} } @inproceedings{efthimiou:18046:sign-lang:lrec, author = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Kakoulidis, Panos and Goulas, Theodoros}, title = {Terminology Enrichment through Crowd Sourcing at {PYLES} Platform}, pages = {33--38}, editor = {Bono, Mayumi and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Osugi, Yutaka}, booktitle = {Proceedings of the {LREC2018} 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community}, maintitle = {11th International Conference on Language Resources and Evaluation ({LREC} 2018)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Miyazaki, Japan}, day = {12}, month = may, year = {2018}, isbn = {979-10-95546-01-6}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/18046.html}, abstract = {The Information System PYLES is a management system for on-line lessons, designed to support accesible asynchronous e-learning, addressing learning needs of students with various communication capabilities and needs at the Technological Educational Institute of Athens (TEI-A). It, thus, exploits both uptodate assistive technology software and content in various forms. This platform has been used as the basis for the development of an active repository of multimodal educational resources, also incorporating a terminology lexicon for the Greek Sign Language (GSL) and a general purpose dictionary of GSL. The platform provides advanced customization options according to user needs but also a collaborative environment for the support of teaching and learning processes. The information system (http://eclassamea.teiath.gr/ ) is built on the open code platform `Open eClass' (http://www.openeclass.org/), a free e-learning platform that it actually enriches with tools and functionalities which allow extended accessibility regarding both the environment and the educational content. Regarding customization to serve GSL signers' needs, the platform incorporates: - Selected lesson presentations in GSL on the basis of deaf students' preferences regarding the curriculum offers - An on line dictionary of general purpose lemma list - An on line terminology glossary - Administrative form related information in GSL Following the Open eClass patern, three basic user roles are supported: (i) student, (ii) instructor, and (iii) administrator. However, the platform also supports special intermediary roles such as ``administrator assistant'', ``user administrator'', ``group leader'' and ``visitor''. These roles serve among other functionalities, the options available for lexical material enrichment through crowd sourcing. The GSL terminology environment allows for the creation of different glossaries directly by their users, where GSL signers are invited to upload their suggestions for various terms under specific quality control conditions. Authorized users may enter new terminology items including the term definition and various supporting multimedia material (icons, video, text etc), while they can modify or completely delete entries. Furthermore, they can validate terms suggested by non authorized users to make them visible to the whole user community. Terminology enrichment actions incorporate: 1. New lemma or new sense entry 2. Modification of a lemma or a sense3. Validation of a proposed lemma sense 4. Communication or hiding of a lemma sense or a lemma description 5. Linking of a lemma with a lemma in a different language (Greek and/or English)} } @inproceedings{efthimiou:18043:sign-lang:lrec, author = {Efthimiou, Eleni and Vasilaki, Kyriaki and Fotinea, Stavroula-Evita and Vacalopoulou, Anna and Goulas, Theodoros and Dimou, Athanasia-Lida}, title = {The {POLYTROPON} Parallel Corpus}, pages = {39--44}, editor = {Bono, Mayumi and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Osugi, Yutaka}, booktitle = {Proceedings of the {LREC2018} 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community}, maintitle = {11th International Conference on Language Resources and Evaluation ({LREC} 2018)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Miyazaki, Japan}, day = {12}, month = may, year = {2018}, isbn = {979-10-95546-01-6}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/18043.html}, abstract = {Here we present the POLYTROPON parallel corpus for the language pair Greek Sign Language (GSL) -- Greek, which is created and annotated aiming to serve as a golden corpus available to the community of SL technologies for experimentation with various approaches to SL processing, focusing on machine learning for SL recognition, machine translation (MT) and information retrieval. The corpus volume incorporates 3653 clauses in three repetitions each, captured in front view by means of one HD and one kinect camera. Corpus annotation has allowed to extract initial features sets with the aim to reach a GSL level of abstraction close to the one currently available for Greek language representations, exploiting the inherent characteristics of the language in view of applying initial deep learning experiments on GSL data, where both words and signs may be represented as vectors of characteristics which allow dependency tree structure representations of input text and signed clauses as those created by the use of Tree Editor TrEd 2.0.} } @inproceedings{efthimiou:16003:sign-lang:lrec, author = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Dimou, Athanasia-Lida and Goulas, Theodoros and Karioris, Panagiotis and Vasilaki, Kyriaki and Vacalopoulou, Anna and Pissaris, Michalis}, title = {From a Sign Lexical Database to an {SL} Golden Corpus -- the {POLYTROPON} {SL} Resource}, pages = {63--68}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna}, booktitle = {Proceedings of the {LREC2016} 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining}, maintitle = {10th International Conference on Language Resources and Evaluation ({LREC} 2016)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Portoro{\v z}, Slovenia}, day = {28}, month = may, year = {2016}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/16003.html}, abstract = {The POLYTROPON lexicon resource is being created in an attempt i) to gather and recapture already available lexical resources of Greek Sign Language (GSL) in an up-to-date homogeneous manner, ii) to enrich these resources with new lemmas, and iii) to end up with a multipurpose-multiuse resource which can be equally exploited in end user oriented educational/communication services and in supporting various SL technologies. The database that hosts the newly acquired resource, incorporates various SL oriented fields of information, including information on compounding, GSL synonyms, classifier qualities, lemma related senses, semantic groupings etc, and also lemma coding for their manual and non-manual articulation activity. It also provides linking of GSL and Modern Greek equivalent(s) lemma pairs to serve bilingual use purposes. A by-product of considerable value is the parallel corpus which derived from the GSL examples of use accompanying each lemma entry in the dictionary and their translations into Modern Greek. The annotation of the corpus for the entailed signs and assignment of respective glosses in combination with data capturing by both HD and Kinect cameras in three repetitions, allowed for the creation of a golden parallel corpus available to the community of SL technologies for experimentation with various approaches to SL recognition, MT and information retrieval.} } @inproceedings{dimou:14022:sign-lang:lrec, author = {Dimou, Athanasia-Lida and Goulas, Theodoros and Efthimiou, Eleni and Fotinea, Stavroula-Evita}, title = {Creation of a multipurpose sign language lexical resource: The {GSL} lexicon database}, pages = {37--42}, editor = {Crasborn, Onno and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna}, booktitle = {Proceedings of the {LREC2014} 6th Workshop on the Representation and Processing of Sign Languages: Beyond the Manual Channel}, maintitle = {9th International Conference on Language Resources and Evaluation ({LREC} 2014)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Reykjavik, Iceland}, day = {31}, month = may, year = {2014}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/14022.html}, abstract = {The GSL lexicon database is the first extensive database of Greek Sign Language (GSL) signs, created on the basis of knowledge derived from the linguistic analysis of natural signers{\'i} data. It incorporates a lemma list that currently includes approximately 6,000 entries and is intended to reach a total number of 10,000 entries within the next two years. The design of the database allows for classification of signs on the basis of their articulation features as regards both manual and non-manual elements. The adopted information management schema accompanying each entry provides for retrieval according to a variety of linguistic properties. In parallel, annotation of the full set of sign articulation features feeds more natural performance of synthetic signing engines and more effective treatment of sign language (SL) data in the framework of sign recognition and natural language processing.} } @inproceedings{dimou:12018:sign-lang:lrec, author = {Dimou, Athanasia-Lida and Pitsikalis, Vassilis and Goulas, Theodoros and Theodorakis, Stavros and Karioris, Panagiotis and Pissaris, Michalis and Fotinea, Stavroula-Evita and Efthimiou, Eleni and Maragos, Petros}, title = {A {GSL} continuous phrase corpus: Design and acquisition}, pages = {23--26}, editor = {Crasborn, Onno and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Kristoffersen, Jette and Mesch, Johanna}, booktitle = {Proceedings of the {LREC2012} 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon}, maintitle = {8th International Conference on Language Resources and Evaluation ({LREC} 2012)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Istanbul, Turkey}, day = {27}, month = may, year = {2012}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/12018.html}, abstract = {The corpus presented in this article is composed of a limited number of Greek Sign Language (GSL) sentences and was created in order to provide additional data to the already obtained corpus during the first year of the Dicta-Sign project (Matthes et al., 2010). More specifically this corpus intended to serve as the ground upon which a significant part of the recognition process would be tested and evaluated, more precisely, the continuous sign language recognition algorithms developed in the project. \par Given the targeted nature of this corpus we present here the constraints as well as the procedure followed in order to obtain it. \par The procedure followed for the creation of this corpus, consists of its linguistic design and validation, the studio and hardware acquisition configuration, the implementation and supervision of the acquisition itself and the post-processing and annotation of the obtained data in order to release the set of usable annotated resources. The specific GSL phrase corpus forms the basis for machine learning and training to serve experimentation in the domain of continuous sign language processing and recognition.} } @inproceedings{goulas:10008:sign-lang:lrec, author = {Goulas, Theodoros and Fotinea, Stavroula-Evita and Efthimiou, Eleni and Pissaris, Michalis}, title = {{SiS-Builder}: A Sign Synthesis Support Tool}, pages = {102--105}, editor = {Dreuw, Philippe and Efthimiou, Eleni and Hanke, Thomas and Johnston, Trevor and Mart{\'i}nez Ruiz, Gregorio and Schembri, Adam}, booktitle = {Proceedings of the {LREC2010} 4th Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies}, maintitle = {7th International Conference on Language Resources and Evaluation ({LREC} 2010)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Valletta, Malta}, day = {22--23}, month = may, year = {2010}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/10008.html}, abstract = {Here we will present research work performed in the framework of the DICTA-SIGN project, closely related to Sign Language Synthesis and Animation and especially intended to cover for the need of creating lexical resources and evaluating them when performed by a signing avatar. Along these lines, a tool has been created to automatically generate SiGML transcriptions of any given HamNoSys string, as well as the relevant transcription file, by providing the HamNoSys characters of a sign. \par Users are allowed to create a phrase of up to 4 sign units, by introducing the corresponding HamNoSys notations in a sequence of appropriate fields. The related xml script is then automatically created, allowing also for on demand storage on the server. \par The here reported tool is web based, accessible by everyone, and allows users to interact with it without any special installations on the client side. Users may register, but this is not mandatory for use of the tool. Registered members can save their created scripts on the server in contrary to the non registered ones. Online and offline manuals are available to the users as well as a FAQ facility. \par As regards further tool functionalities, users are also enabled to see the HamNoSys notation of a sign chosen from a validated list of lemmas or by entering the raw xml script in the proper field. Users are able to switch between SiGML data and HamNoSys notations on an instant by just selecting the wished function. This way, it is possible to test/ see the results of creation of a lexical item, either by consulting the HamNoSys sequence, for those familiar with the HamNoSys syntax, or by animating the results through the avatar with the use of the SiGML script. \par Users can create HamNoSys sequences by choosing the proper selection on the menu. This is a new feature, enhancing the tool's functionalities, added -upon completion of an evaluation phase- to allow users to create HamNoSys strings on line and then proceed with automatic creation of the corresponding SiGML scripts. \par Furthermore, along with the HamNoSys manual characters, users may add non manual characters to the creation of the SiGML script. If needed, users may add more than one movement of a particular body part, i.e. head or shoulders, to make animation look closer to natural signing. \par The final step is creation of the script. The user is then able to copy and paste the script to the avatar page to visualise the results of the created sequence, the latter been performed by the avatar. \par Registered users are able to maintain/modify the data created by them. \par The tool is based on open source internet technologies for easy access and compatibility. Technologies that have been used are mostly "php" and "java script".} } @inproceedings{dimou:70021:sltat:lrec, author = {Dimou, Athanasia-Lida and Papavassiliou, Vassilis and McDonald, John C. and Goulas, Theodoros and Vasilaki, Kyriaki and Vacalopoulou, Anna and Fotinea, Stavroula-Evita and Efthimiou, Eleni and Wolfe, Rosalee}, title = {Signing Avatar Performance Evaluation within {EASIER} Project}, pages = {39--44}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and McDonald, John C. and Shterionov, Dimitar and Wolfe, Rosalee}, booktitle = {Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives}, maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {24}, month = jun, year = {2022}, isbn = {979-10-95546-82-5}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/2022.sltat-1.6.html}, doi = {10.63317/3xn8c5z3e5px}, abstract = {The direct involvement of deaf users in the development and evaluation of signing avatars is imperative to achieve legibility and raise trust among synthetic signing technology consumers. A paradigm of constructive cooperation between researchers and the deaf community is the EASIER project , where user driven design and technology development have already started producing results. One major goal of the project is the direct involvement of sign language (SL) users at every stage of development of the project's signing avatar. As developers wished to consider every parameter of SL articulation including affect and prosody in developing the EASIER SL representation engine, it was necessary to develop a steady communication channel with a wide public of SL users who may act as evaluators and can provide guidance throughout research steps, both during the project's end-user evaluation cycles and beyond. To this end, we have developed a questionnaire-based methodology, which enables researchers to reach signers of different SL communities on-line and collect their guidance and preferences on all aspects of SL avatar animation that are under study. In this paper, we report on the methodology behind the application of the EASIER evaluation framework for end-user guidance in signing avatar development as it is planned to address signers of four SLs -Greek Sign Language (GSL), French Sign Language (LSF), German Sign Language (DGS) and Swiss German Sign Language (DSGS)- during the first project evaluation cycle. We also briefly report on some interesting findings from the pilot implementation of the questionnaire with content from the Greek Sign Language (GSL).} } @inproceedings{papadimitriou:70026:sltat:lrec, author = {Papadimitriou, Katerina and Potamianos, Gerasimos and Sapountzaki, Galini and Goulas, Theodoros and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Maragos, Petros}, title = {{Greek} {Sign} {Language} Recognition for the {SL-ReDu} Learning Platform}, pages = {79--84}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and McDonald, John C. and Shterionov, Dimitar and Wolfe, Rosalee}, booktitle = {Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives}, maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {24}, month = jun, year = {2022}, isbn = {979-10-95546-82-5}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/2022.sltat-1.12.html}, doi = {10.63317/53aipdqe2z69}, abstract = {There has been increasing interest lately in developing education tools for sign language (SL) learning that enable self-assessment and objective evaluation of learners' SL productions, assisting both students and their instructors. Crucially, such tools require the automatic recognition of SL videos, while operating in a signer-independent fashion and under realistic recording conditions. Here, we present an early version of a Greek Sign Language (GSL) recognizer that satisfies the above requirements, and integrate it within the SL-ReDu learning platform that constitutes a first in GSL with recognition functionality. We develop the recognition module incorporating state-of-the-art deep-learning based visual detection, feature extraction, and classification, designing it to accommodate a medium-size vocabulary of isolated signs and continuously fingerspelled letter sequences. We train the module on a specifically recorded GSL corpus of multiple signers by a web-cam in non-studio conditions, and conduct both multi-signer and signer-independent recognition experiments, reporting high accuracies. Finally, we let student users evaluate the learning platform during GSL production exercises, reporting very satisfactory objective and subjective assessments based on recognition performance and collected questionnaires, respectively.} } @inproceedings{fotinea-etal-2016-multimodal:lrec, author = {Fotinea, Stavroula-Evita and Efthimiou, Eleni and Koutsombogera, Maria and Dimou, Athanasia-Lida and Goulas, Theodoros and Vasilaki, Kyriaki}, title = {Multimodal Resources for Human-Robot Communication Modelling}, pages = {3455--3460}, editor = {Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Goggi, Sara and Grobelnik, Marko and Maegaard, Bente and Mariani, Joseph and Mazo, H{\'e}l{\`e}ne and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios}, booktitle = {10th International Conference on Language Resources and Evaluation ({LREC} 2016)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Portoro{\v z}, Slovenia}, day = {23--28}, month = may, year = {2016}, isbn = {978-2-9517408-9-1}, language = {english}, url = {https://aclanthology.org/L16-1551}, doi = {10.63317/3qza22q9uoo6}, abstract = {This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions in interaction, their capture and their representation in terms of behavioural patterns that, in turn, feed a multimodal human-robot communication system. Semantic analysis encompasses both oral and sign languages, as well as both verbal and non-verbal communicative signals to achieve an effective, natural interaction between elderly users with slight walking and cognitive inability and an assistive robotic platform.} }