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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...12 Hits 1 – 20 of 225 1 User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis Adams, Oliver; Galliot, Benjamin; Wisniewski, Guillaume... In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021) BASE Show details 2 User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis Adams, Oliver; Galliot, Benjamin; Wisniewski, Guillaume... In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021) BASE Show details 3 User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis Adams, Oliver; Galliot, Benjamin; Wisniewski, Guillaume... In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020) BASE Show details 4 Eines computacionals per a la creació i explotació de corpus orals en català Garrido Almiñana, Juan M. In: Zeitschrift für Katalanistik. - Freiburg : Romanisches Seminar der Universität 33 (2020), 131-154 BLLDB Show details 5 Using Automatic Speech Recognition in Spoken Corpus Curation Gorisch, Jan; Gref, Michael; Schmidt, Thomas In: Fraunhofer IAIS (2020) BASE Show details 6 La traducció d'entrevistes de divulgació científica Reyes Rodriguez, Eloy; Universitat Autònoma de Barcelona. Facultat de Traducció i d'Interpretació. - 2020 BASE Show details 7 Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages Chakravarthi, Bharathi Raja; Arcan, Mihael; McCrae, John P.. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 BASE Show details 8 Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription Arcan, Mihael; Chakravarthi, Bharathi Raja; Priyadharshini, Ruba. - : European Association for Machine Translation, 2019 BASE Show details 9 Incorporating prosody into neural speech processing pipelines: applications on automatic speech transcription and spoken language machine translation Öktem, Alp. - : Universitat Pompeu Fabra, 2019 In: TDX (Tesis Doctorals en Xarxa) (2019) BASE Show details 10 Eesti lastekeele korpuse morfoloogilise märgendamise kitsaskohtadest Kristiina Vaik; Virve-Anneli Vihman In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 13, Pp 205-221 (2017) (2017) Abstract: "Issues in morphological annotation of the Estonian child language corpus" This article presents the results of an initial attempt to automatically annotate the currently existing, publicly available Estonian child language corpus morphologically. CLAN software is not suitable for morphological analysis of Estonian, but Estonian language technology resources are available for written language and can be adapted to spoken language and specific genres. The automatic parser provided annotation for 92–98% of words in the child-directed speech and 57–96% of the child speech, with the results for child speech varying across corpora. A manual analysis was also conducted of words which were automatically annotated in a random selection of transcriptions from each corpus. Across corpora, 63–96% of annotated words were correctly annotated. Reasons for the variation are discussed, and obstacles to automatic annotation are identified at various levels. First, the corpora have been collected and transcribed with various goals and according to differing principles, hence the style and detail of transcription vary greatly across the corpora. Second, even within a single corpus, discrepancies appear in coding which need to be uniformly resolved in order to ensure accurate morphological annotation. Finally, for flagging non-standard or idiosyncratic forms, the implementation of metacodes available for use in the child language corpora would greatly assist the task of automatic morphological parsing. For each corpus, a user dictionary adapted to the particular genre and the particular corpus would need to be developed, including proper names and idiosyncratic words. The marking of errors is a crucial area which needs to be standardised in order to enable automatic annotation. Additionally, five groups of words which received inaccurate annotation were identified, and suggestions are made for transcription of child language corpora in order to ease the task of morphological annotation in the future. Artikli eesmärk on anda ülevaade sellest, mis raskendab avalikult kättesaadava eesti lastekeele korpuse automaatset morfoloogilist märgendamist ning anda soovitusi, kuidas tulevaste korpuste märgendamist ja standardiseerimist analüüsi tarbeks paremaks muuta. Analüüsisime korpust kirjakeelele mõeldud morfoloogiaanalüsaatori abil. Automaatse analüüsi järel vaatasime, kui suur osa sõnadest sai analüüsi või jäi analüsaatorile tundmatuks nii alamkorpuste kui lapse- ja hoidjakeele lõikes. Selgus, et analüüsi saanud sõnade osakaal igas alamkorpuses varieerus hoidjakeeles 94–98% ja lastekeeles 57–96% vahel. Suurt rolli mängib lindistuste üleskirjutamisviis: hoidjakeelt kirjutatakse üles kirjakeelele sarnaselt, kuid lastekeeles lähtutakse kuuldeortograafiast. Kõik alamkorpused küll järgivad CHILDES-i transkriptsioonisüsteemi ettekirjutusi, ent iga alamkorpus on koostatud erinevaid eesmärke silmas pidades ja on erineva transkribeerimisstiiliga, millest järjepidevalt kinni ei peeta. Märgenduse tulemust hindasime käsitsi läbivaatamise teel. Artiklis toome välja, millised olid nii tundmatuks jäänud kui vale analüüsi saanud sõnade sagedasemad probleemid ja pakume võimalikke lahendusi. Keyword: automatic annotation; child language; corpus; Estonian; Finnic. Baltic-Finnic; P1-1091; PH91-98.5; Philology. Linguistics; transcription URL: https://doi.org/10.5128/ERYa13.13 https://doaj.org/article/a021742fc176472ab1b9bc150b1be878 BASE Hide details 11 Evaluation of innovative computer-assisted transcription and translation strategies for video lecture repositories Valor Miró, Juan Daniel. - : Universitat Politècnica de València, 2017 BASE Show details 12 Preliminary Experiments on Unsupervised Word Discovery in Mboshi Godard, Pierre; Adda, Gilles; Adda-Decker, Martine... In: Interspeech 2016 proceedings ; Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01350119 ; Interspeech 2016, Sep 2016, San-Francisco, United States (2016) BASE Show details 13 Research methods in sign language studies : a practical guide Martin, Amber J.; Johnston, Trevor; Palmer, Jeffrey Levi. - Chichester : John Wiley, 2015. Chichester : Wiley Blackwell, 2015 BLLDB UB Frankfurt Linguistik Show details 14 The Welsh language in the digital age : = Y gymraeg yn yr oes ddigidol Evas, Jeremy. - Heidelberg [u.a.] : Springer, 2014 BLLDB UB Frankfurt Linguistik Show details 15 Statistical language and speech processing : second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014 ; proceedings Besacier, Laurent (Hrsg.). - Cham [u.a.] : Springer, 2014 BLLDB UB Frankfurt Linguistik Show details 16 НЕКОТОРЫЕ АСПЕКТЫ АВТОМАТИЧЕСКОГО ТРАНСКРИБИРОВАНИЯ ДЛЯ АМЕРИКАНСКОГО ВАРИАНТА АНГЛИЙСКОГО ЯЗЫКА: ОТ ИЗОЛИРОВАННОГО СЛОВА К ТЕКСТУ Андросова, Светлана; Андросов, Евгений; Чала, Р.. - : Государственное образовательное учреждение высшего профессионального образования "Амурский государственный университет", 2014 BASE Show details 17 НЕКОТОРЫЕ АСПЕКТЫ АВТОМАТИЧЕСКОГО ТРАНСКРИБИРОВАНИЯ ДЛЯ АМЕРИКАНСКОГО ВАРИАНТА АНГЛИЙСКОГО ЯЗЫКА: ОТ ИЗОЛИРОВАННОГО СЛОВА К ТЕКСТУ С.В. Андросова; Е.Ю. Андросов; Р.А. Чала. - : Государственное образовательное учреждение высшего профессионального образования "Амурский государственный университет", 2014 BASE Show details 18 Multimodal interactive structured prediction Alabau Gonzalvo, Vicente. - : Universitat Politècnica de València, 2014 In: Riunet (2014) BASE Show details 19 Méthodes et outils pour l'analyse phonétique des grands corpus oraux Nguyen, Noël (Hrsg.); Adda-Decker, Martine (Hrsg.). - Paris : Hermes Science Publ. [u.a.], 2013 BLLDB UB Frankfurt Linguistik Show details 20 A monotonic statistical machine translation approach to speaking style transformation Kawahara, Tatsuya; Neubig, Graham; Akita, Yuya... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 5, 349-370 BLLDB OLC Linguistik Show details Page: 1 2 3 4 5...12

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