Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "text synthesis" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-4 z 4
    Tytuł:
    Features of the content-analysis method for text categorization of commercial content in processing online newspaper articles
    Autorzy:
    Vysotska, V.
    Chyrun, L
    Powiązania:
    https://bibliotekanauki.pl/articles/118191.pdf
    Data publikacji:
    2015
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    computer linguistic system
    text analysis
    text synthesis
    content system management
    Opis:
    This paper presents the features of text categorization of commercial content in linguistic modelling. Description of syntax sentence modelling is applied to automate the processes of analysis and synthesis of texts in natural language for commercial content categorization. This article suggests methods of content analysis for online newspaper. The model describes the processing of information resources systems of content analysis and simplifies the technology of content management system automation. General problems of syntactical and semantic content analysis and functional services of content management system are analysed.
    Źródło:
    Applied Computer Science; 2015, 11, 1; 15-30
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Inférences au pays de la prosodie
    Inferences in the land of prosody
    Autorzy:
    Banyś, Wiesław
    Powiązania:
    https://bibliotekanauki.pl/articles/31341247.pdf
    Data publikacji:
    2023
    Wydawca:
    Wydawnictwo Uniwersytetu Śląskiego
    Tematy:
    Implication
    entailment
    presupposition
    implicature
    prosody
    theme
    rheme
    two-way implicative verbs
    one-way implicative verbs
    text-to-speech synthesis
    Opis:
    When it comes to language, it’s not just the grammatical structure and the literal meaning of words that matter. The way a predicate imposes inferences on its propositional arguments is crucial to understanding the true meaning of a message. However, these inferences are influenced by many factors, such as prosody, world knowledge, speakers’ expectations regarding language use, situational stereotypes, and other implicit or contextual elements.In this paper, we examine the inferential status of the verbs referred to by Karttunen as “implicative verbs”. On the one hand, two-way implicative verbs, and on the other, one-way implicative verbs. The latter have been little studied from this perspective. This will lead us to highlight the fundamental role, too often forgotten, of prosody and focus/theme in this type of analysis and in determining the inferential status of predicates. Our analyses show that, once prosody has been considered, the classification of theoretically possible verb inferences accepted until now needs to be modified. We do not have 4 groups of one-way implicative verbs, as has been argued, but 2, namely the groups: [+/+/– // –/–] [affirmed > true or false // denied > false] of the type être capable, pouvoir and [+/+/– // –/+] [affirmed > true or false // denied > true] of the type hésiter à.The remaining two groups, considered as distinct and autonomous one-way implicative verbs with the suggested characteristics: [+ + // – +/–] [affirmed > true // denied > true or false] of the type forcer to and [+ – // – +/–] [affirmed > false // denied > true or false] of the type refuser de, belong to the canonical groups of two-way implicative verbs, respectively: forcer à to the group of verbs of the type réussir à: [+/+ // –/–] [affirmed > true // denied > false] and refuser de to the group of verbs of the type oublier de: [+/– // –/+] affirmed > false // denied > true].Naturally, this classification differentiation, important as it is, only reflects the different behaviour of certain types of predicate, and this is the most important element of these analyses with a view to automating the recognition of predicate inferences.
    Źródło:
    Neophilologica; 2023, 35; 1-33
    0208-5550
    2353-088X
    Pojawia się w:
    Neophilologica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of Polish speech synthesis for the BOSS system
    Autorzy:
    Demenko, G.
    Mobius, B.
    Klessa, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/200686.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    speech synthesis
    text-to-speech (TTS)
    unit selection
    duration prediction
    Opis:
    The Bonn Open Synthesis System (BOSS) is an open-source software for the unit selection speech synthesis that has been used for the generation of high-quality German and Dutch speech. This article presents ongoing research and development aimed at adapting BOSS to the Polish language. In the first section, the origins and workings of the unit selection method for speech synthesis are explained. Section two details the structure of the Polish corpus and its segmental and prosodic annotation. The subsequent sections focus on the implementation of Polish TTS modules in the BOSS architecture (duration prediction and cost function) and the steps involved in preparing a new speech corpus for BOSS.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 371-376
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Conditional Random Fields Applied to Arabic Orthographic-Phonetic Transcription
    Autorzy:
    Cherifi, El-Hadi
    Guerti, Mhania
    Powiązania:
    https://bibliotekanauki.pl/articles/1953489.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    Orthographic-To-Phonetic Transcription
    Conditional Random Fields
    text-to-speech
    Arabic speech synthesis
    Modern Standard Arabic
    Opis:
    Orthographic-To-Phonetic (O2P) Transcription is the process of learning the relationship between the written word and its phonetic transcription. It is a necessary part of Text-To-Speech (TTS) systems and it plays an important role in handling Out-Of-Vocabulary (OOV) words in Automatic Speech Recognition systems. The O2P is a complex task, because for many languages, the correspondence between the orthography and its phonetic transcription is not completely consistent. Over time, the techniques used to tackle this problem have evolved, from earlier rules based systems to the current more sophisticated machine learning approaches. In this paper, we propose an approach for Arabic O2P Conversion based on a probabilistic method: Conditional Random Fields (CRF). We discuss the results and experiments of this method apply on a pronunciation dictionary of the Most Commonly used Arabic Words, a database that we called (MCAW-Dic). MCAW-Dic contains over 35 000 words in Modern Standard Arabic (MSA) and their pronunciation, a database that we have developed by ourselves assisted by phoneticians and linguists from the University of Tlemcen. The results achieved are very satisfactory and point the way towards future innovations. Indeed, in all our tests, the score was between 11 and 15% error rate on the transcription of phonemes (Phoneme Error Rate). We could improve this result by including a large context, but in this case, we encountered memory limitations and calculation difficulties.
    Źródło:
    Archives of Acoustics; 2021, 46, 2; 237-247
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies