Terminology for spoken language systems

Gibbon, Dafydd; Mertins, Inge; Moore, Roger K.

doi:10.1007/978-1-4615-4501-9_4

Cited by 9 publications

(12 citation statements)

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“…Istilah teknis sebagai unit terminologi atau peristilahan yang tergolong ke dalam bahasa untuk Tujuan Khusus 'Language for Specific Purposes -LSP' (Gibbon, 1999, Guidelines for Terminology Policies -Paris, 2005 merupakan bagian dari Lingusitik Terapan 'Applied Linguistic' (C. Lionhardt, 2001). Istilah teknis bukan hanya permasalahan kita, baik secara personal, komunal maupun nasional, bahkan menjadi permasalahan internasional karena tidak sedikit negara mengalami permasalahan terminologi.…”

Section: Pendahuluanunclassified

“…Mengacu kepada beberapa literatur asing, sebutan istilah itu pada umumnya disandingkan dengan kata teknis 'technical term' sebagai unit terminologi (baca Gibbon, 1999, Matsuda, 2008, Pinchuck, 1977, Schmitz, 2005 yang batasannya dapat diakomodasi sebagai "perancangan konsep yang tetap dalam sebuah bahasa khusus melalui ekspresi Linguistik" (ISO 1087 dalam Nicole Keller, 2010).…”

Section: Batasan "Istilah"unclassified

“…Keuntungan penggunaan istilah dengan hanya satu ekspresi kata adalah batasannya lebih mudah dikenal (baik secara elektronik maupun secara manual). Meskipun demikian, semua kalangan terminolog akan menerima frase yang terdiri dari dua atau tiga kata sebagai sebutan istilah (Gibbon, 1999).…”

Section: Penggunaan Definisi Istilahunclassified

“…Sebenarnya, mereka tidak harus memahami konsep tapi mereka harus meyakinkan bahwa mereka punya istilah yang benar yang terbentuk dalam bahasa target agar calon pembaca akan mampu memahami teks. Untuk mewujudkan hal tersebut, maka mereka harus memahami sebaik mungkin ranah pekerjaan yang mereka lakukan (Gibbon, 1999 (Terrel dkk., 1991dalam Gibbon, 1999.…”

Section: Pemahaman Konsep Menjadi Dasar Penerjemahan Terminologiunclassified

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Istilah Teknis dan Permasalahannya dalam Penerjemahan

Nur¹

2019

MAB

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Term is a word or word-combination which denotes the notion of a special realm of communication in science, industry, technology, art, in a definitive field of knowledge and human activity, that is a special purposes linguistic unit (Лейчик 2007). In this context, the article develops the analyses of writer’s master thesis about the translation of Indonesian terminology standardization directory for computer application ‘Panduan pembakuan istilah penggunaan komputer dengan aplikasi komputer berbahasa Indonesia’ that were set up by the TIM INPRES ‘the Presidential directive teams’ of Indonesia, Number 2/2001. The analyses result was that identifiable numerous approaches of equivalent, and these categorizable inconsistance in the translation process. Therefore, the message of source language (English) could not comprehensively be expressed in the target language (Indonesian). Analyses development in the article is tend toward the reviewing of technical terms existence etimologically-theoretically, referring to the International Terminology Standardization, International Standardization Organization (ISO), and Handbook of Terminology in relation to the message sense of technical terms in translation. Thus, the technical terms in the translation context are bounded by four dimensions; concept, object, term and definition referring to the semiotic triangle as the terminologists’ additional dimension. Where, the pyramid was extended by the dimension of definition resulting four intersections to represent the concept. Accomodating the concept of technical terms can only be handled through the adoption approach of phonetic and semantic adaptation to keep the equivalent message of two different languages.

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Section: Pendahuluanunclassified

Section: Batasan "Istilah"unclassified

Section: Penggunaan Definisi Istilahunclassified

Section: Pemahaman Konsep Menjadi Dasar Penerjemahan Terminologiunclassified

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Istilah Teknis dan Permasalahannya dalam Penerjemahan

Nur¹

2019

MAB

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“…Mapping from regular alphabet to computer readable phonetic alphabet depends on speech engine. Mbrola uses SAMPA [14] alphabet.…”

Section: Speech Model For Segmentation Algorithmmentioning

confidence: 99%

Segmentation Analysis using Synthetic Speech Signals

Greibus

Telksnys

2012

ElAEE

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There is a need of certain number of speech examples to solve real life tasks. A natural speech corpora may suffer from limited phoneme, word or phrase combinations. On the other hand an experimenter can create huge speech corpora using synthetic speech that reflect investigative speech cases that it is similar enough to natural speech. The usage of synthetic and natural speech corpora for speech segmentation algorithm comparison is presented in this paper. The adequateness of synthetic and natural corpora criteria for speech segmentation was proved. The experiments results showed that synthetic signals can be used for speech algorithm research.

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Segment boundary detection via class entropy measurements in connectionist phoneme recognition

Salvi

2006

Speech Communication

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This article investigates the possibility to use the class entropy of the output of a connectionist phoneme recogniser to predict time boundaries between phonetic classes. The rationale is that the value of the entropy should increase in proximity of a transition between two segments that are well modelled (known) by the recognition network since it is a measure of uncertainty. The advantage of this measure is its simplicity as the posterior probabilities of each class are available in connectionist phoneme recognition.The entropy and a number of measures based on differentiation of the entropy are used in isolation and in combination. The decision methods for predicting the boundaries range from simple thresholds to neural network based procedure.The different methods are compared with respect to their precision, measured in terms of the ratio between the number C of predicted boundaries within 10 or 20 msec of the reference and the total number of predicted boundaries, and recall, measured as the ratio between C and the total number of reference boundaries.

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Terminology for spoken language systems

Cited by 9 publications

References 0 publications

Istilah Teknis dan Permasalahannya dalam Penerjemahan

Istilah Teknis dan Permasalahannya dalam Penerjemahan

Segmentation Analysis using Synthetic Speech Signals

Segment boundary detection via class entropy measurements in connectionist phoneme recognition

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