Human Language Technology. Challenges for Computer Science and Linguistics
Description
This book constitutes the refereed proceedings of the 9th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2019, held in Poznan, Poland, in May 2019.
The 24 revised papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are categorized into the following topical sub-headings: Speech Processing; Language Resources and Tools; Computational Semantics; Emotions, Decisions and Opinions; Digital Humanities; Evaluation; and Legal Aspects.
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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«ski and Julia Hartwig.- Neural nets in detecting word level metaphors in Polish.- Frame-based annotation in the corpus of synesthetic metaphors.- E valuation .- PolEval 2019 - the next chapter in evaluating Natural Language Processing tools for Polish.- Open Challenge for Correcting Errors of Speech Recognition Systems.- Evaluation of basic modules for isolated spelling error correction in Polish texts.- Assessment of document similarity visualisation methods.- Legal Aspects .- Legal Regime of the Language Resources in the Context of the European Language Technology Development.
