Human Language Technology. Challenges for Computer Science and Linguistics
Human Language Technology. Challenges for Computer Science and Linguistics
9th Language and Technology Conference, LTC 2019, Poznan, Poland, May 17-19, 2019, Revised Selected Papers
Vetulani, Zygmunt; Paroubek, Patrick; Kubis, Marek
Springer International Publishing AG
06/2022
377
Mole
Inglês
9783031053276
15 a 20 dias
605
Descrição não disponível.
Speech Processing.-A set of tools for extraction and manipulation of speech fundamental Frequency.- The automatic search for sounding segments of SPPAS: application to Cheese! Corpus.- The Phonetic Grounding of Prosody: Analysis and Visualisation Tools.- Hybridised Deep Ensemble Learning for Tone Pattern Recognition.- ANNPRO: a desktop module for automatic segmentation and transcription.- Language Resources and Tools.- Analysis and processing of the Uzbek language on the multi-language modelled computer translator technology.- Computer Application of Georgian Words.- Community-led documentation of Nafsan (Erakor, Vanuatu).- Design and Development of Pipeline of Preprocessing Tools for Kazakh Language Texts.- Thai Named Entity Corpus Annotation Scheme and Self Verification by BiLSTM-CNN-CRF.- Computational Semantics.- Analogies between Short Sentences: a Semantico-Formal Approach.- Effective development and deployment of domain and application conceptualization in wordnet-based ontologies using Ontology Repository Tool.- Emotions, Decisions and Opinions.- Speech Prosody Extraction for Ibibio Emotions Analysis and Classification.- Multilingual and language-agnostic recognition of emotions, valence and arousal in large-scale multi-domain text reviews.- Construction and evaluation of sentiment datasets for low-resource languages: the case of Uzbek.- Using Book Dialogues to Extract Emotions from Texts.- Digital Humanities.- NLP tools for lexical structure studies of the literary output of a writer. Case study: literary works of Tadeusz Boy->ele<
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artificial intelligence;computational linguistics;computer systems;computer vision;data mining;image processing;information retrieval;machine learning;mathematics;natural language processing;natural languages;NLP;pattern recognition;signal processing;speech analysis;speech processing;speech recognition
Speech Processing.-A set of tools for extraction and manipulation of speech fundamental Frequency.- The automatic search for sounding segments of SPPAS: application to Cheese! Corpus.- The Phonetic Grounding of Prosody: Analysis and Visualisation Tools.- Hybridised Deep Ensemble Learning for Tone Pattern Recognition.- ANNPRO: a desktop module for automatic segmentation and transcription.- Language Resources and Tools.- Analysis and processing of the Uzbek language on the multi-language modelled computer translator technology.- Computer Application of Georgian Words.- Community-led documentation of Nafsan (Erakor, Vanuatu).- Design and Development of Pipeline of Preprocessing Tools for Kazakh Language Texts.- Thai Named Entity Corpus Annotation Scheme and Self Verification by BiLSTM-CNN-CRF.- Computational Semantics.- Analogies between Short Sentences: a Semantico-Formal Approach.- Effective development and deployment of domain and application conceptualization in wordnet-based ontologies using Ontology Repository Tool.- Emotions, Decisions and Opinions.- Speech Prosody Extraction for Ibibio Emotions Analysis and Classification.- Multilingual and language-agnostic recognition of emotions, valence and arousal in large-scale multi-domain text reviews.- Construction and evaluation of sentiment datasets for low-resource languages: the case of Uzbek.- Using Book Dialogues to Extract Emotions from Texts.- Digital Humanities.- NLP tools for lexical structure studies of the literary output of a writer. Case study: literary works of Tadeusz Boy->ele<
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;computational linguistics;computer systems;computer vision;data mining;image processing;information retrieval;machine learning;mathematics;natural language processing;natural languages;NLP;pattern recognition;signal processing;speech analysis;speech processing;speech recognition