Domain portability in speech-to-speech translation

Lavie, Alon; Levin, Lori; Schultz, Tanja; Langley, Chad; Han, Benjamin; Tribble, Alicia; Gates, Donna; Wallace, Dorcas; Peterson, Kay

doi:10.3115/1072133.1072170

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…CMU had the primary responsibility for the design of IF. A major design goal was to achieve domain portability within speech to speech translation framework (Lavie et al 2001b). An IF is based on a set of domain actions (DA) with parametric arguments.…”

Section: The Description Of Ifmentioning

confidence: 99%

Generating Arabic text in multilingual speech-to-speech machine translation framework

Monem

Shaalan

Rafea

et al. 2008

Machine Translation

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The interlingual approach to machine translation (MT) is used successfully in multilingual translation. It aims to achieve the translation task in two independent steps. First, meanings of the source-language sentences are represented in an intermediate language-independent (Interlingua) representation. Then, sentences of the target language are generated from those meaning representations. Arabic natural language processing in general is still underdeveloped and Arabic natural language generation (NLG) is even less developed. In particular, Arabic NLG from Interlinguas was only investigated using template-based approaches. Moreover, tools used for other languages are not easily adaptable to Arabic due to the language complexity at both the morphological and syntactic levels. In this paper, we describe a rule-based generation approach for task-oriented Interlingua-based spoken dialogue that transforms a relatively shallow semantic interlingual representation, called interchange format (IF), into Arabic text that corresponds to the intentions underlying the speaker's utterances. This approach addresses the handling of the problems of Arabic syntactic structure 123 206 A. Abdel Monem et al. determination, and Arabic morphological and syntactic generation within the Interlingual MT approach. The generation approach is developed primarily within the framework of the NESPOLE! (NEgotiating through SPOken Language in E-commerce) multilingual speech-to-speech MT project. The IF-to-Arabic generator is implemented in SICStus Prolog. We conducted evaluation experiments using the input and output from the English analyzer that was developed by the NESPOLE! team at Carnegie Mellon University. The results of these experiments were promising and confirmed the ability of the rule-based approach in generating Arabic translation from the Interlingua taken from the travel and tourism domain.

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Section: The Description Of Ifmentioning

confidence: 99%

Generating Arabic text in multilingual speech-to-speech machine translation framework

Monem

Shaalan

Rafea

et al. 2008

Machine Translation

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“…The IF developed by CMU has been expanded and now encompasses concepts in both the travel and medical domains, as well as many general-use or cross-domain concepts in many different languages [4]. Interlingua-based MT has several advantages, namely: (1) it abstracts away from variations in syntax across languages, providing potentially deep analysis of meaning without relying on information pertinent only to one particular language pair, (2) modules for analysis and generation can be developed monolingually, with additional reference only to the second "language" of the interlingua, (3) the speaker can be given a paraphrase in his or her own language, which can help verify the accuracy of the analysis and be used to alert the listener to inaccurate translations, and (4) translation systems can be extended to new languages simply by hooking up new monolingual modules for analysis and/or generation, eliminating the need to develop a completely new system for each new language pair.…”

Section: Machine Translationmentioning

confidence: 99%

A Thai speech translation system for medical dialogs

Schultz

Alexander

Black

et al. 2004

Demonstration Papers at HLT-NAACL 2004 on XX - HLT-NAACL '04

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“…The IF developed by CMU has been expanded to encompass concepts in both the travel and medical domains, as well as many general-use or cross-domain concepts. It has proven to be portable to various domains and languages [6]. The design of an interlingua has to balance expressive power and simplicity [7].…”

Section: ) Automatic Speech Recognitionmentioning

confidence: 99%

“…translation task [14] and compared it to an existing IL-MT system [6] which was developed as part of the NESPOLE! project.…”

mentioning

confidence: 99%

Flexible Speech Translation Systems

Schultz

Black

Vogel

et al. 2006

IEEE Trans. Audio Speech Lang. Process.

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Abstract-Speech translation research has made significant progress over the years with many high-visibility efforts showing that translation of spontaneously spoken speech from and to diverse languages is possible and applicable in a variety of domains. As language and domains continue to expand, practical concerns such as portability and reconfigurability of speech come into play: system maintenance becomes a key issue and data is never sufficient to cover the changing domains over varying languages. In this paper, we discuss strategies to overcome the limits of today's speech translation systems. In the first part, we describe our layered system architecture that allows for easy component integration, resource sharing across components, comparison of alternative approaches, and the migration toward hybrid desktop/PDA or stand-alone PDA systems. In the second part, we show how flexibility and reconfigurability is implemented by more radically relying on learning approaches and use our English-Thai two-way speech translation system as a concrete example.

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Domain portability in speech-to-speech translation

Cited by 8 publications

References 14 publications

Generating Arabic text in multilingual speech-to-speech machine translation framework

Generating Arabic text in multilingual speech-to-speech machine translation framework

A Thai speech translation system for medical dialogs

Flexible Speech Translation Systems

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