Human Language Technology. Challenges for Computer Science and Linguistics
portes grátis
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
