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Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
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In: Rios, Annette; Tuggener, Don (2017). Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation. In: 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, 3 April 2017 - 7 April 2017. Association for Computational Linguistics, 657-662. (2017)
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Crossing the Border Twice: Reimporting Prepositions to Alleviate L1-Specific Transfer Errors
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In: Graën, Johannes; Schneider, Gerold (2017). Crossing the Border Twice: Reimporting Prepositions to Alleviate L1-Specific Transfer Errors. In: Joint 6th Workshop on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language Acquisition, Gothenburg, 22 May 2017 - 22 May 2017, 18-26. (2017)
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Supertagging for Domain Adaptation: An Approach with Law Texts
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In: Sugisaki, Kyoko (2017). Supertagging for Domain Adaptation: An Approach with Law Texts. In: The 16th International Conference on Artificial Intelligence and Law, London, 12 June 2017 - 16 June 2017. (2017)
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Amplitude envelope kinematics of speech signal: parameter extraction and applications
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In: He, Lei; Dellwo, Volker (2017). Amplitude envelope kinematics of speech signal: parameter extraction and applications. In: Trouvain, Jürgen; Steiner, Ingmar; Möbius, Bernd. Elektronische Sprachsignalverarbeitung 2017. Dresden: TUDpress, 1-8. (2017)
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La quantità vocalica in due dialetti della Liguria
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In: Garassino, Davide; Loporcaro, Michele; Schmid, Stephan (2017). La quantità vocalica in due dialetti della Liguria. In: Fattori sociali e biologici nella variazione biologica/Social and biological factors in phonetic variation, Pisa, 1 January 2017 - 2 January 2017, 127-144. (2017)
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Multi-word Adverbs – How well are they handled in Parsing and Machine Translation?
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In: Volk, Martin; Graën, Johannes (2017). Multi-word Adverbs – How well are they handled in Parsing and Machine Translation? In: The 3rd Workshop on Multi-word Units in Machine Translation and Translation Technology (MUMTTT 2017), London, 14 November 2017 - 14 November 2017. (2017)
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Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation
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In: Mascarell, Laura (2017). Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation. In: Discourse in Machine Translation (DiscoMT), Copenhagen, 8 September 2017, DiscoMT. (2017)
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Enhancing the objectivity of interactive formant estimation: introducing euclidean distance measure and numerical conditions for numbers and frequency ranges of formants
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In: Kathiresan, Thayabaran; Maurer, Dieter; Dellwo, Volker (2017). Enhancing the objectivity of interactive formant estimation: introducing euclidean distance measure and numerical conditions for numbers and frequency ranges of formants. In: Trouvain, Juergen; Steiner, Ingmar; Moebius, Bernd. Elektronische Sprachsignalverarbeitung 2017. Dresden: TUDpress, 130-137. (2017)
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Abstract:
Current formant measurement studies of vowel sounds generally use a Linear Predictive Coding (LPC) algorithm and rely on an interactive method of formant estimation which includes a comparison of measured formant tracks and characteristics of the spectrogram. Thereby, the selection of LPC parameters is based on the assumption that the number of poles for the analysis of a given frequency range is age- and gender-specific. However, when crosschecking measured formant tracks with the spectrogram, mismatches occur in a significant number of cases. In these cases, the investigators try to minimize these mismatches by modifying the number of poles of LPC. Such an interaction is based on phonetic knowledge, analytical experience and related expectations. Several authors have pointed towards the lack of objectivity and the inherent circularity as well as the fact that similar formant estimations performed by different researchers may yield different results. As of yet, the issue of an improvement and objectification of formant estimation procedure is still a matter of debate. The present paper describes such a corresponding approach: basing the LPC pole-number selection on objective criteria by introducing Euclidean distance measure and formant frequency conditions as references for interactive formant frequency estimation. The paper further presents and discusses the results of a pilot evaluation using the method proposed on 224 long Standard German vowel sounds /i-y-e-ø-ɛ-a-o-u/ produced by eight children, ten women and ten men on fundamental frequencies of 262 Hz (children), 220 Hz (women) and 131 Hz (men), respectively.
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Keyword:
000 Computer science; 410 Linguistics; Department of Informatics; Institute of Computational Linguistics; knowledge & systems; Zurich Center for Linguistics
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URL: http://essv2017.coli.uni-saarland.de/pdfs/Kathiresan.pdf https://doi.org/10.5167/uzh-149558 https://www.zora.uzh.ch/id/eprint/149558/1/Kathiresan.pdf https://www.zora.uzh.ch/id/eprint/149558/
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Perception of vocal tract tension: exploring possible prosodic correlates
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In: San Segundo, Eugenia; Schwab, Sandra; Dellwo, Volker; He, Lei; Mompeán, José (2017). Perception of vocal tract tension: exploring possible prosodic correlates. In: VII Congreso Internacional de Fonética Experimental, Madrid, 22 November 2017 - 24 November 2017. (2017)
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Crossing Sentence Boundaries in Machine Translation
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In: Mascarell, Laura. Crossing Sentence Boundaries in Machine Translation. 2017, University of Zurich, Faculty of Arts. (2017)
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Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues
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In: Pu, Xiao; Mascarell, Laura; Popescu-Belis, Andrei (2017). Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues. In: European Chapter of the Association for Computational Linguistics (EACL), Valencia (Spain), 3 April 2017 - 7 April 2017, EACL. (2017)
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/l/-vocalisation in Lucerne Swiss German dialects: a sociophonetic analysis using big data
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In: Zihlmann, Urban B; Leemann, Adrian (2017). /l/-vocalisation in Lucerne Swiss German dialects: a sociophonetic analysis using big data. In: Phonetics & Phonology in German-speaking countries (P&P 13), Berlin, 27 September 2017 - 29 September 2017. Leibniz-Zentrum Allgemeine Sprachwissenschaft und Humboldt-Universität zu Berlin, 201-204. (2017)
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L’espansione funzionale di mega(-) nel linguaggio giovanile della Svizzera italiana
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In: Faraoni, Vincenzo; Bernardasci, Camilla (2017). L’espansione funzionale di mega(-) nel linguaggio giovanile della Svizzera italiana. Vox Romanica:41-73. (2017)
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OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task
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In: Furrer, Lenz; Rinaldi, Fabio (2017). OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task. In: BioCreative V.5 Challenge Evaluation Workshop, Barcelona, Spain, 26 April 2017 - 27 April 2017, 175-182. (2017)
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Word and sentence segmentation in german: Overcoming idiosyncrasies in the use of punctuation in private communication
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In: Sugisaki, Kyoko (2017). Word and sentence segmentation in german: Overcoming idiosyncrasies in the use of punctuation in private communication. In: 27th International Conference, GSCL 2017, Berlin, September 2017, s.n. (2017)
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Exploiting comparable corpora for domain-specific statistical machine translation
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In: Plamadă, Magdalena. Exploiting comparable corpora for domain-specific statistical machine translation. 2017, University of Zurich, Faculty of Arts. (2017)
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When Google Translate is better than Some Human Colleagues, those People are no longer Colleagues
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In: Läubli, Samuel; Orrego-Carmona, David (2017). When Google Translate is better than Some Human Colleagues, those People are no longer Colleagues. In: Translating and the Computer, London, 16 November 2017 - 17 November 2017, 59-69. (2017)
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Efficient and Accurate Entity Recognition for Biomedical Text
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In: Rinaldi, Fabio; Furrer, Lenz; Basaldella, Marco (2017). Efficient and Accurate Entity Recognition for Biomedical Text. In: BioCreative VI Workshop, Bethesda, MD, USA, 18 October 2017 - 20 October 2017, 195-197. (2017)
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Treatment of Markup in Statistical Machine Translation
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In: Müller, Mathias (2017). Treatment of Markup in Statistical Machine Translation. In: Third Workshop on Discourse in Machine Translation, Copenhagen, Denmark, 8 September 2017. Association of Computational Linguistics, 36-46. (2017)
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Normalizing Medieval German Texts: from rules to deep learning
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In: Korchagina, Natalia (2017). Normalizing Medieval German Texts: from rules to deep learning. In: NoDaLiDa 2017 Workshop on Processing Historical Language, Gothenburg, 22 May 2017 - 22 May 2017. (2017)
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