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Towards a part-of-speech tagger for Sranan Tongo ...
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Nicolás, C.V.; Viktor, Z.. - : Фонд содействия развитию интернет-медиа, ИТ-образования, человеческого потенциала "Лига интернет-медиа", 2022
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Human Gait Phase Recognition in Embedded Sensor System
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Liu, Zhenbang. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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Automatische Gebärdenspracherkennung: Von Videokorpora zu Glossensätzen ... : Automatic sign language recognition : from video corpora to gloss sentences ...
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Abstract:
Dissertation, RWTH Aachen University, 2020; Aachen 1 Online-Ressource (xiii, 155 Seiten) : Illustrationen, Diagramme (2020). = Dissertation, RWTH Aachen University, 2020 ... : This PhD thesis investigates large vocabulary, continuous automatic sign language recognition (ASLR) from single view video using hidden Markov models (HMMs) with Gaussian mixture models (GMMs) as state emission functions and n-gram, statistical language models. We go beyond the state-of-the-art by investigating continuous sign language instead of isolated signs and extract features and object locations from video via object tracking foregoing invasive data acquisition methods such as bulky cyber gloves. Overall, we make contributions in three major areas. In the first part of this thesis, we develop best practices for sign language corpus creation and introduce the large vocabulary, single view, continuous sign language corpus RWTH-PHOENIX-Weather which has been created in the context of this work. RWTH-PHOENIX-Weather is annotated in gloss notation and features several subsets usable for object tracking, single signer as well as multi signer recognition. The second part of this thesis focuses on object ...
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Keyword:
hidden markov model; large vocabulary; modality combination; sign language; statistical recognition from video
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URL: https://dx.doi.org/10.18154/rwth-2020-08775 https://publications.rwth-aachen.de/record/796101
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Comparison of Machine Learning Models: Gesture Recognition Using a Multimodal Wrist Orthosis for Tetraplegics
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In: The Journal of Purdue Undergraduate Research (2020)
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Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs
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In: Information ; Volume 10 ; Issue 10 (2019)
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Acoustic event, spoken keyword and emotional outburst detection
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Prototyputveckling för skalbar motor med förståelse för naturligt språk ; Prototype development for a scalable engine with natural language understanding
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Automatic assessment of singing voice pronunciation: a case study with Jingju music
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In: TDX (Tesis Doctorals en Xarxa) (2018)
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Detecting sections and entities in court decisions using HMM and CRF graphical models
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In: Conférence Extraction et Gestion des Connaissances ; https://hal.archives-ouvertes.fr/hal-02101479 ; Conférence Extraction et Gestion des Connaissances, Université Grenoble alpes (UGA), Jan 2017, Grenoble, France ; http://egc2017.imag.fr/ (2017)
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Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
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RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
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In: Publications (2017)
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Stem-based PoS tagging for agglutinative languages ; Sondan Eklemeli Dillerde Gövde Tabanlı Sözcük Türü ˙I¸saretleme
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О ВОЗМОЖНОСТИ МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ ЭВОЛЮЦИИ ПОЛИСЕМИИ ЗНАКОВ ЕСТЕСТВЕННОГО ЯЗЫКА С ПОМОЩЬЮ НЕСТАЦИОНАРНЫХ ПРОЦЕССОВ РОЖДЕНИЯ И ГИБЕЛИ
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ПОДДУБНЫЙ ВАСИЛИЙ ВАСИЛЬЕВИЧ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Национальный исследовательский Томский государственный университет», 2016
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