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[PDF] Top 20 Automatic Detection and Language Identification of Multilingual Documents

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Automatic Detection and Language Identification of Multilingual Documents

Automatic Detection and Language Identification of Multilingual Documents

... allow identification of bilingual docu- ments, and suggests how this may be generalized to any number of languages in a ...the language vectors of the two languages gives the mixture proportions of the two ... See full document

14

Identification of Languages in Algerian Arabic Multilingual Documents

Identification of Languages in Algerian Arabic Multilingual Documents

... a language identifi- cation system designed to detect the lan- guage of each word, in its context, in a multilingual documents as generated in social media by bilingual/multilingual ... See full document

8

Automatic Language Identification

Automatic Language Identification

... Automatic Language Identification (LID) is the process of automatically identifying the language of spoken utterance or written ...the identification of various dialects and varieties ... See full document

10

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... person identification and ...personal identification; the local features are used for their ability to reflect the statistical behavior of fingerprint variation at fingerprint ...for identification ... See full document

11

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... spoken language recognition refers to a sequence of processes aim to transfer human perception ability of identifying spoken languages to machine using computer ...languages identification accuracy ... See full document

16

LexStat: Automatic Detection of Cognates in Multilingual Wordlists

LexStat: Automatic Detection of Cognates in Multilingual Wordlists

... the identification of cognates: Sequence similar- ity is determined on the basis of systematic sound correspondences (Trask, 2000, 336) as opposed to similarity based on surface resemblances of pho- netic ...is ... See full document

9

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... In this paper, we aimed at leveraging crowd- sourced social multimedia by following a semi-man- ual micro-tasking approach to process collected so- cial multimedia. We developed a conceptual frame- work, which addresses ... See full document

17

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... tangible documents and knowledge base through archiving and documenting the expertise and skills of ...and documents, into tacit knowledge in the minds of employees; an example of this approach is the ... See full document

9

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... This study aims to formulate a social media strategy framework that appropriate in government organization that has a low interaction rate with public through their social media accounts. The research methods used was ... See full document

16

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... There are no suitable solutions for many questions related to managing and protecting the privacy of sensitive information [20]. Many of the existing solution use encryption methods by another party. These methods and ... See full document

12

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... It begins with the conduct of the literature review to determine the significant parameters for determining the trustworthiness of online information. The identification of the parameters drawn from the literature ... See full document

11

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... The findings from literature analysis and website observation were used as a basis to develop the conceptual model for an assessment tool for measuring citizen-centricity in e-government websites. Subsequently, the ... See full document

12

Multilingual Text Entry using Automatic Language Detection

Multilingual Text Entry using Automatic Language Detection

... major language being used 90% of the ...of language transi- tion probabilities accounts for higher ...that language detection using only ML requires large corpora for learning to select one ... See full document

8

Multilingual Mention Detection for Coreference Resolution

Multilingual Mention Detection for Coreference Resolution

... A number of linguistic studies focus on various syntactic, semantic and discourse clues that might help identify nominal constructions that cannot participate in coreference relations. Possible fea- tures include, among ... See full document

9

Automatic Detection of Multilingual Dictionaries on the Web

Automatic Detection of Multilingual Dictionaries on the Web

... other multilingual lexical resources are valuable in a myriad of contexts, from language preservation (Thieberger and Berez, 2012) to language learning (Laufer and Hadar, 1997), cross-language ... See full document

6

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... The evaluation stage aims to determine the value of the usefulness of the model that has been successfully created in the previous step. For evaluation use 10-fold cross validation. In this test, the data used is the ... See full document

14

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... The purpose of this study is to examine how technostress negatively affects IT acceptance, more specifically, it is intended to reveal "how the psychological state of technostress at the[r] ... See full document

13

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... The past decade has witnessed construction of the background information resources to overcome several challenges in text mining tasks. For non-English languages with poor knowledge sources such as Arabic, these ... See full document

12

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... Thus the FHB method is appropriate to use when the population sized is very large Based on the application study the FHB provides the estimators better than the direct estimators since t[r] ... See full document

13

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

... The quantitative methodology is employed to inspect the information quality of e-services web portals as perceived by students enrolled in Saudi universities in order to explore the rela[r] ... See full document

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