Search results for "language processing"

showing 10 items of 421 documents

A Structural $\mathcal{ SHOIN(D)}$ Ontology Model for Change Modelling

2013

This paper presents a complete structural ontology model suited for change modelling on \(\mathcal{ SHOIN(D)}\) ontologies. The application of this model is illustrated along the paper through the description of an ontology example inspired by the UOBM ontology benchmark and its evolution.

Computer sciencebusiness.industryComputer Science::Information RetrievalData_MISCELLANEOUS02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Ontology020201 artificial intelligence & image processingComputingMethodologies_GENERALArtificial intelligencebusinesscomputerNatural language processing
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Measuring Effort in Subprocesses of Subtitling

2021

There has been noticeable growth in the use and production of intralingual and interlingual subtitles due to technological advances and accessibility legislation. While the reception of subtitles has been increasingly studied over the years, there are only a few empirical studies that investigate the process of subtitling. This contribution gives initial results from a study that investigates the impact of reference material during post-editing of NMT of audiovisual content via language. The focus is on transcription and translation processes, the two main subprocesses of the complex task of interlingual subtitling. Applying well-established methods from TPR, key-logging and eye tracking, t…

Computer sciencebusiness.industryContext (language use)Indirect translationcomputer.software_genreSession (web analytics)language.human_languageGermanEmpirical researchTranscription (linguistics)Language technologylanguageEye trackingArtificial intelligencebusinesscomputerNatural language processing
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Resolving ambiguities in a grounded human-robot interaction

2009

In this paper we propose a trainable system that learns grounded language models from examples with a minimum of user intervention and without feedback. We have focused on the acquisition of grounded meanings of spatial and adjective/noun terms. The system has been used to understand and subsequently to generate appropriate natural language descriptions of real objects and to engage in verbal interactions with a human partner. We have also addressed the problem of resolving eventual ambiguities arising during verbal interaction through an information theoretic approach.

Computer sciencebusiness.industryContext (language use)computer.software_genreInformation theoryHuman–robot interactionHuman-Robot InteractionVisualizationRoboticNounMachine learningLanguage modelArtificial intelligencebusinesscomputerAdjectiveNatural language processingNatural language
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Challenges and Confusions in Learning Version Control with Git

2014

Scholars agree on the importance of incorporating use of version control systems (VCSs) into computing curricula, so as to be able to prepare students for today’s distributed and collaborative work places. One of the present-day distributed version control systems (DVCSs) is Git, the system we have used on several courses. In this paper, we report on the challenges for learning and using the system based on a survey data collected from a project-based course and our own teaching experiences during several different kinds of computing courses. The results of this analysis are discussed and recommendations are made. peerReviewed

Computer sciencebusiness.industryControl (management)computer.software_genreGitWork (electrical)Control systemMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONversion control systemsSurvey data collectioncomputer science educationArtificial intelligencebusinessCurriculumcomputerNatural language processing
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ESL ? A New Simulation Language for Economic Models

1990

A new simulation language for modelling economic processes is presented which allows the specification of single decision units and coordinates all their activities. The basic ideas and features of this language will be described and demonstrated through small examples.

Computer sciencebusiness.industryEconomics Econometrics and Finance (miscellaneous)Economic modelArtificial intelligencebusinesscomputer.software_genreSoftware engineeringcomputerNatural language processingComputer Science ApplicationsSimulation languageComputer Science in Economics and Management
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Using a Computerised Corpus in the Construction of a Bilingual Phraseological Dictionary

2016

It is generally acknowledged that one of the main purposes of bilingual dictionaries is to provide learners with relevant and sufficient information about the grammatical, lexical and phraseological units of a language (Yong and Peng 2007: 20). Furthermore, this must be done in a way that is both convenient and comprehensible for very specific kinds of users (Cabre 2007: 80–81; Pecman 2008: 205), namely, non-native speakers who are still developing their linguistic and discourse competence but who have not fully attained the intuitive ability to tackle major grammatical issues. It follows that this kind of learner cannot rely on previous discourse experience and sociolinguistic training in …

Computer sciencebusiness.industryFirst languageBilingual dictionaryArtificial intelligencecomputer.software_genrebusinesscomputerCompetence (human resources)Natural language processingLinguistics
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Multiword Units in Machine Translation and Translation Technology

2018

This article describes a new word alignment gold standard for German nominal compounds and their multiword translation equivalents in English, French, Italian, and Spanish. The gold standard contains alignments for each of the ten language pairs, resulting in a total of 8,229 bidirectional alignments. It covers 362 occurrences of 137 different German compounds randomly selected from the corpus of European Parliament plenary sessions, sampled according to the criteria of frequency and morphological complexity. The standard serves for the evaluation and optimisation of automatic word alignments in the context of spotting translations of German compounds. The study also shows that in this text…

Computer sciencebusiness.industryGold standardContext (language use)Spottingcomputer.software_genreTranslation (geometry)language.human_languageGermanNounlanguageArtificial intelligenceddc:410.2businesscomputerNatural language processingWord (computer architecture)
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Geometric Algebra Rotors for Sub-symbolic Coding of Natural Language Sentences

2007

A sub-symbolic encoding methodology for natural language sentences is presented. The procedure is based on the creation of an LSA-inspired semantic space and associates rotation operators derived from Geometric Algebra to word bigrams of the sentence. The operators are subsequently applied to an orthonormal standard basis of the created semantic space according to the order in which words appear in the sentence. The final rotated basis is then coded as a vector and its orthogonal part constitutes the sub-symbolic coding of the sentence. Preliminary experimental results for a classification task, compared with the traditional LSA methodology, show the effectiveness of the approach.

Computer sciencebusiness.industryLatent semantic analysisBigramInformationSystems_INFORMATIONSTORAGEANDRETRIEVALcomputer.software_genreGeometric algebraOrthonormal basisArtificial intelligencebusinesscomputerSentenceNatural language processingNatural languageCoding (social sciences)
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Sub-symbolic Encoding of Words

2003

A new methodology for sub-symbolic semantic encoding of words is presented. The methodology uses the WordNet lexical database and an ad hoc modified Sammon algorithm to associate a vector to each word in a semantic n-space. All words have been grouped according to the WordNet lexicographers’ files classification criteria: these groups have been called lexical sets. The word vector is composed by two parts: the first one, takes into account the belonging of the word to one of these lexical sets; the second one is related to the meaning of the word and it is responsible for distinguishing the word among the other ones of the same lexical set. The application of the proposed technique over all…

Computer sciencebusiness.industryLatent semantic analysisWordNetLexical databaseSemanticscomputer.software_genreLexical setLexical itemLexicographySyntactic categoryArtificial intelligencebusinesscomputerNatural languageWord (computer architecture)Natural language processing
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Pronunciation Learning Strategy Chains: A Qualitative Approach

2014

Language learning is a daunting process frequently enhanced by a number of factors, for example, language learning strategies deployed in an orchestrated manner (Oxford 1990). Similarly, pronunciation learning may be supported by effective strategies used either separately or in logically combined chains. However, little attention has been given so far to the strategies L2 learners employ when learning the target language pronunciation, not to mention pronunciation learning strategy chains. Hence, there have been a limited number of empirical investigations into pronunciation learning strategies (PLS) in general and in particular the ones following the qualitative design (cf. Bukowski 2004;…

Computer sciencebusiness.industryProcess (engineering)PronunciationLanguage acquisitioncomputer.software_genreLinguisticsCognitive strategyLanguage learning strategiesQualitative designElectronic dictionaryL2 learnersArtificial intelligencebusinesscomputerNatural language processing
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