J87-3007 ultimately to develop a knowledge-based multilingual machine translation sys tern for multiple subject
P92-1046 is proposed in the context of a multilingual machine translation system under development . Introduction
W03-2118 tensed verb ) . Our work with multilingual machine translation of spoken language shows that
W00-0204 communicate . In this context multilingual Machine Translation systems become prominent , for
C00-2111 results and is an answer to highly multilingual machine translation projects . With this approach
J85-2005 anything like a complete theory of multilingual machine translation . We have argued elsewhere ,
C92-2092 algorithms . In SLE 's approach to multilingual machine translation . \ -LSB- Whitelock , 1991 ,
W99-0207 to incorporate this approach in multilingual machine translation which enables us to handle a
N07-1061 cons of the pivot approaches in multilingual machine translation . Schubert ( 1988 ) argues that
W05-1010 Moreover , we apply our method to a multilingual machine translation system and an cross-language
W01-0809 generation module in ITS3 , a multilingual machine translation ( MT ) system based on the Government
A88-1022 the intrinsic requirements of multilingual machine translation ( MMT ) . In Section 3 we give
H92-1113 Spanish component of the CRL 's multilingual machine translation system both in terms of coverage
E87-1004 aiming at the development of a multilingual machine translation system . Thus , on top of the
W01-0808 this component functions within a multilingual Machine Translation system . We have provided motivation
W02-2104 that are part of MSR-MT , the multilingual Machine Translation system developed at Microsoft
A88-1022 of the intrinsic constraints of multilingual machine translation and the extrinsic requirements
P14-1055 deals with active learning for multilingual machine translation , which make use of multilingual
W15-4912 www.itkc.lv ) within the project " 2.6 . Multilingual Machine Translation " of EU Structural funds , contract
X96-1024 produced answer the need for fast multilingual machine translation capabilities as required in information
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