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[PDF] Top 20 Toward Asian Speech Translation System: Developing Speech Recognition and Machine Translation for Indonesian Language

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Toward Asian Speech Translation System: Developing Speech Recognition and Machine Translation for Indonesian Language

Toward Asian Speech Translation System: Developing Speech Recognition and Machine Translation for Indonesian Language

... a system that is able, to some extent in a certain domain, to capture either a speech or digital text based on Indonesian language and process it in order to output into meaningful text into ... See full document

6

Field Testing the Tongues Speech-to-Speech Machine Translation System

Field Testing the Tongues Speech-to-Speech Machine Translation System

... the system. For example, if speech recognition produced and displayed a correct transcript, and then translation pro- duced an unacceptable result, they would usually respeak the same ... See full document

5

Towards Understanding Theoretical Developments in Natural Language Processing

Towards Understanding Theoretical Developments in Natural Language Processing

... e.g., speech recognition, part-of-speech tagging, for generating grammars and parsing, word sense disambiguation, and so ...continuous speech recognition ...Automatic Recognition ... See full document

5

Towards speech to text translation without speech recognition

Towards speech to text translation without speech recognition

... Typical speech-to-text translation systems pipeline automatic speech recognition (ASR) and machine translation (MT) (Waibel and Fugen, ...limited speech translation ... See full document

6

Lattice Parsing to Integrate Speech Recognition and Rule Based Machine Translation

Lattice Parsing to Integrate Speech Recognition and Rule Based Machine Translation

... continous speech recognition ...into speech recognition ...structural language model- ing extract a list of N-best hypotheses using an N-gram and then apply structural methods to de- ... See full document

9

Fluent Translations from Disfluent Speech in End to End Speech Translation

Fluent Translations from Disfluent Speech in End to End Speech Translation

... Spoken language translation (SLT) applications suffer due to conversational speech phenomena, particularly the presence of ...versational speech, speakers often use disfluencies such as filler ... See full document

7

Lecture Translator   Speech translation framework for simultaneous lecture translation

Lecture Translator Speech translation framework for simultaneous lecture translation

... via speech translation technology deployed in KIT’s lec- ture ...tion system automatically translates lectures from German to English in ...supported language directions are English to ... See full document

5

End to End Evaluation in Simultaneous Translation

End to End Evaluation in Simultaneous Translation

... Simultaneous Translation System Figure 1 shows a schematic overview of the si- multaneous translation system developed at Uni- versität Karlsruhe (TH) (Fügen et ...The speech of the ... See full document

9

Automatic Speech-Speech Translation System from English to Tamil Language

Automatic Speech-Speech Translation System from English to Tamil Language

... Speech-to-speech translation technology represents a technology which automatically translates one language to another language in order to enable communication between two parties with ... See full document

5

SPEECH PROCESSING –AN OVERVIEW

SPEECH PROCESSING –AN OVERVIEW

... Speech recognition is the capability of a software or machine to recognize a language and axiom in spoken language and translate them to a machine-readable ...of speech ... See full document

8

A Unified Approach in Speech to Speech Translation: Integrating Features of Speech recognition and Machine Translation

A Unified Approach in Speech to Speech Translation: Integrating Features of Speech recognition and Machine Translation

... Current translation systems are typically of a cascaded structure: speech recognition followed by machine ...the speech recognition module and translation module are ... See full document

7

MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices

MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices

... Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alex Fraser, Shankar Ku- mar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, and Dragomir Radev. 2004. A smor- gasbord of ... See full document

6

Cross Lingual Language Modeling with Syntactic Reordering for Low Resource Speech Recognition

Cross Lingual Language Modeling with Syntactic Reordering for Low Resource Speech Recognition

... resource-rich language such as English, Mandarin and Japanese, after creating linguistic resources of these languages at considerable ...build speech and language processing systems for these ... See full document

11

Formalization of Speech Verbs with NooJ for Machine Translation: the French Verb accuser

Formalization of Speech Verbs with NooJ for Machine Translation: the French Verb accuser

... This phase of implementation of the verb in a bilingual French-Arabic dictionary aims first of all to reformulate the information of the LVF in terms of NooJ operators. This operation consists of applying the dictionary ... See full document

5

Evaluating Layers of Representation in Neural Machine Translation on Part of Speech and Semantic Tagging Tasks

Evaluating Layers of Representation in Neural Machine Translation on Part of Speech and Semantic Tagging Tasks

... neural machine translation (NMT) models provide improved translation qual- ity in an elegant framework, it is less clear what they learn about ...target language on source-side representa- ... See full document

10

Evaluating Automatic Speech Recognition in Translation

Evaluating Automatic Speech Recognition in Translation

... the recognition, and thus contain errors, such as agreement errors, erroneous words, missing words, substituted words, ...IBM system differs from Google in generating sentence boundaries, and as a ... See full document

9

XNMT: The eXtensible Neural Machine Translation Toolkit

XNMT: The eXtensible Neural Machine Translation Toolkit

... This paper describes XNMT, the eXtensible Neural Machine Translation toolkit, a toolkit that optimizes not for efficiency, but instead for ease of use in practical research settings. In other words, instead ... See full document

8

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

... After a Job is created, a hash value is computed based on the given input parameters. This hash is used to ensure that only one node is used to repre- sent the same computation. Additionally, it is used as part of the ... See full document

6

Tamil Sign Language to Speech Translation

Tamil Sign Language to Speech Translation

... White images are used so that shape descriptors can be applied to extract the following features like solidity, perimeter, Convex area, eccentricity, major axis length, minor axis length and orientation. All the features ... See full document

6

Typology Study of French Technical Texts, With a View to Developing a Machine Translation System

Typology Study of French Technical Texts, With a View to Developing a Machine Translation System

... TYPOLOGY STUDY OF FRENCH TECHNICAL TEXTS, WITH A VIEW TO DEVELOPING A MACHINE TRANSLATION SYSTEM TYPOLOGY STUDY OF FRENCH TECHNICAL TEXTS, WITH A VIEW TO DEVELOPING A MACHINE TRANSLATION SYSTEM B ROUD[.] ... See full document

5

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