Deriving Semantic Knowledge from Descriptive Texts Using an MT System

Nyberg, Eric; Mitamura, Teruko; Baker, Kathryn; Svoboda, David; Peterson, Brian A.; Williams, Jennifer

doi:10.1007/3-540-45820-4_15

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…But they did not expect commercialization of the technology for another five to ten years. An example of more recent advances based on knowledge‐based machine translation is the KANT project at Carnegie Mellon University (Nyberg, 2002).…”

Section: A Methodology For Business E‐mailmentioning

confidence: 99%

JCMC Volume 9, Issue 1: The Multilingual Internet. APEC Multilingual International Trade Project: Methodology and Case Reports on Needs Assessment

2006

Journal of Computer-Mediated Communication

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As Internet use continues to grow worldwide, its potential to facilitate e‐commerce and international trade, especially among small and medium‐size enterprises (SMEs), is well recognized. However, formidable barriers in language and word processing have to be overcome before significant uptake of such computer‐mediated communication by SMEs can be realized. A pragmatic methodology to enable multilingual e‐mail communication is introduced, in a prototype system called “TigerTalk for SMEs.” This approach has been endorsed by the Asia Pacific Economic Cooperation (APEC) as the Multilingual International Trade Project. The first phase of needs and feasibility assessment is reported in eight case studies.

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Section: A Methodology For Business E‐mailmentioning

confidence: 99%

JCMC Volume 9, Issue 1: The Multilingual Internet. APEC Multilingual International Trade Project: Methodology and Case Reports on Needs Assessment

2006

Journal of Computer-Mediated Communication

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“…Much work has been undertaken to understand the media accessibility obligations of the CRPD in Europe ( Morettini, 2014 ), the many steps in the subtitle production workflow by humans individually or in teams ( Sánchez, 2004 ), and the different professional profiles working in each step of the production chain ( Matamala, 2019 ). Technology is increasingly allowing new subtitling workflows from machine translation ( Nyberg & Mitamura, 1997 ) to crowdsourcing by humans as fansubs ( O’Hagan, 2009 ) to post editing machine translated subtitles ( Karakanta et al ., 2022 ). Still we are in a cat-and-mouse-game: technology is incessantly developing new professional workflows to generate translated or transcribed subtitles, and trying to claim ownership to a complex creative process has many challenges.…”

Section: Subtitle Copyright Managementmentioning

confidence: 99%

The visible subtitler: Blockchain technology towards right management and minting

Orero¹,

Torner²,

Oncins³

2023

Open Res Europe

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Background: Subtitles are produced through different workflows and technologies: from fully automatic to human in open source web editors or in-house platforms, and increasingly through hybrid human-machine interaction. There is little agreement regarding subtitle copyright beyond the understanding that it is a derivative work. While same language verbatim subtitles may have little room for creativity, interlingual subtitling is heavily dependent on the subtitler skills to translate, prioritise, and condense information. These days creative subtitles are increasingly being used as one more aesthetic element in audiovisual narrative. Though they may be in the same language, the visual attributes that contribute to the narrative development make creative subtitles one more element that should be acknowledged and copyright protected. Methods: The paper will present a short introduction to subtitling copyright. It will then describe centralised and decentralised copyright management — where blockchain technology can be applied to aid subtitler identification. A focus group with expert professional subtitlers was organised, and feedback is reported. Conclusions: Subtitle copyright is country dependent, still subtitling working practices and media asset distribution have no geographical borders. Blockchain technology -as a concept- could aid subtitle traceability. This can be useful beyond financial and moral right management and work towards media sustainability, allowing for reuse and repurpose of existing media assets.

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“…We introduce Knowledge Acquisition Language (KAL), a controlled language containing English expressions (statements, questions, inference rules) that can be mapped into corresponding meaning representations in F-Logic. We created a lexicon and a unification grammar for KAL that is used by the KANTOO system [2] to produce a set of LFG-style f-structures, which are mapped into interlingua representations [3] that contain semantic concepts, semantic features, and semantic roles representing the meaning. The interlingua for the sentence Insulin is an example of a secretory protein is shown below:…”

Section: Introductionmentioning

confidence: 99%

Capturing knowledge from domain text with controlled language

Nyberg

Mitamura

Betteridge

2005

Proceedings of the 3rd International Conference on Knowledge Capture

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This paper describes a prototype system which captures semantic knowledge from domain text using controlled language. The KANTOO system is used to analyze input sentences from college-level science textbooks, producing sentence-level meaning representations (interlingua). The interlingua expressions are mapped into F-logic statements, which are be stored in a separate knowledge base to support reasoning in the domain.

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Deriving Semantic Knowledge from Descriptive Texts Using an MT System

Cited by 4 publications

References 3 publications

JCMC Volume 9, Issue 1: The Multilingual Internet. APEC Multilingual International Trade Project: Methodology and Case Reports on Needs Assessment

JCMC Volume 9, Issue 1: The Multilingual Internet. APEC Multilingual International Trade Project: Methodology and Case Reports on Needs Assessment

The visible subtitler: Blockchain technology towards right management and minting

Capturing knowledge from domain text with controlled language

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