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spoken language translation

The USFD Spoken Language Translation System for IWSLT 2014

The USFD Spoken Language Translation System for IWSLT 2014

... for Spoken Language Translation (IWSLT) in ...Machine translation (MT) is achieved by a phrase-based ...text translation task with the IWSLT 2014 ...

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Bilingual LSA Based LM Adaptation for Spoken Language Translation

Bilingual LSA Based LM Adaptation for Spoken Language Translation

... We evaluated our bLSA model using the Chinese– English parallel document corpora consisting of the Xinhua news, Hong Kong news and Sina news. The combined corpora contains 67k parallel documents with 35M Chinese (CH) ...

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A New Two-Layer Approach for Spoken Language Translation

A New Two-Layer Approach for Spoken Language Translation

... Abstract. This study proposes a new two-layer approach for spoken language translation. First, we develop translated examples and transform them into speech signals. Second, to properly retrieve a ...

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Acceptance Testing of a Spoken Language Translation System

Acceptance Testing of a Spoken Language Translation System

... a spoken language translation system is to allow for the communication of two persons speaking different ...included translation but the input and the output modality could be either speech or ...

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Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation

Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation

... machine translation to deal with input from automatic speech recognition in spoken language translation ...source language pro- nunciation dictionary and language model ...

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Lightly Supervised Word Sense Translation Error Detection for an Interactive Conversational Spoken Language Translation System

Lightly Supervised Word Sense Translation Error Detection for an Interactive Conversational Spoken Language Translation System

... incorrect translation of such a word — here referred to as a word sense translation error (WSTE) — can lead to a critical failure in a con- versational spoken language translation ...

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Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation

Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation

... a translation model adapta- tion approach for conversational spoken language translation (CSLT), which en- courages the use of contextually appropri- ate translation options from ...

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Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results

Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results

... natural spoken language there are many meaningless modal particles and ...the translation would be rather poor if the ASR results are directly translated by MT ...downstream language ...

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Log-linear Models for Uyghur Segmentation in Spoken Language Translation

Log-linear Models for Uyghur Segmentation in Spoken Language Translation

... Table 6 gives performance of spoken Uyghur mor- phological segmentation for machine translation using different models. It should be noted that morphological segmentation mentioned in this pa- per is ...

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Proceedings of the 6th Workshop on Asian Translation

Proceedings of the 6th Workshop on Asian Translation

... Machine translation technology has rapidly evolved recently and it is seeing practical use especially between European ...the translation quality of Asian languages is not that high compared to that of ...

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Reordering Constraints for Phrase Based Statistical Machine Translation

Reordering Constraints for Phrase Based Statistical Machine Translation

... a translation qual- ity similar to an unconstrained search. The translation results with the ITG constraints even outperformed the unconstrained search consistently on all error ...

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Bidirectional Decoding for Statistical Machine Translation

Bidirectional Decoding for Statistical Machine Translation

... machine translation (SMT), one of the problems of SMT is the search algorithms for the translation given a se- quence of ...the translation in left-to-right, with prun- ing technologies assuming ...

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STRETFORD HIGH SCHOOL LESSON PLAN YEAR 8 - SPOKEN LANGUAGE Specialism Please indicate with Sif any aspect of your lesson addresses the Specialism or provide

STRETFORD HIGH SCHOOL LESSON PLAN YEAR 8 - SPOKEN LANGUAGE Specialism Please indicate with Sif any aspect of your lesson addresses the Specialism or provide

... Are all conversations transactional? In groups pupils to try to come up with 10 conversation situations where language is non-transactional. Possible answers might be: give opinions, show dismay, joking, calling ...

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Lexical Choice via Topic Adaptation for Paraphrasing Written Language to Spoken Language

Lexical Choice via Topic Adaptation for Paraphrasing Written Language to Spoken Language

... Abstract. Our research aims at developing a system that paraphrases written language text to spoken language style. In such a system, it is important to distinguish between appropriate and ...

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Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

... Welcome to the ACL 2019 Student Research Workshop! The ACL 2019 Student Research Workshop (SRW) is a forum for student researchers in computational linguistics and natural language processing. The workshop ...

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Example based Machine Translation Based on Syntactic Transfer with Statistical Models

Example based Machine Translation Based on Syntactic Transfer with Statistical Models

... and translation) are obtained from child ...the translation probabil- ity is calculated, the source word sub-sequence is obtained by tracing transfer mapping, and the ap- plied translation model is ...

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Machine Translation by Interaction between Paraphraser and Transfer

Machine Translation by Interaction between Paraphraser and Transfer

... controlled language, such as the KANT system (Mitamura et ...target language on the transfer ...speech translation, since real-time dialog conversation is a require- ...

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English Indonesian Neural Machine Translation for Spoken Language Domains

English Indonesian Neural Machine Translation for Spoken Language Domains

... Sentence 3 and 4 are of the remaining pairs that do not have such pattern. In sentence 3, there are 3 different segments in the translations. Al- though native speaker might easily find that ”da- pat” is more formal than ...

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Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity

Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity

... the translation quality of corpus-based MT systems for speech transla- tion, the technique of splitting an input sen- tence appears ...a translation unit. The translation results on various ...

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An Example based Decoder for Spoken Language Machine Translation

An Example based Decoder for Spoken Language Machine Translation

... We can learn these fixed structures and take them as rules, Chiang (2005) presents a method to learn these rules, and uses them in the SMT. Gen- erally, the number of these rules will be very large. In this paper, we ...

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