TAILIEUCHUNG - Báo cáo khoa học: " What Should Machine Translation Be?"

It has also become one of the most visible representations of natural language processing to the outside world. Machine translation systems are relatively unique with respect to the extent of the coverage they attempt, and, correspondingly, the size of the grammatical and lexicaI corpora involved. Adding to this the complexity introduced by multiple language directions into the same system design (and the enormous procedural problems imposed by simultaneous development in several sites) gives some clue as to the optimism which presently exists for machine translation. . | FORUM ON MACHINE TRANSLATION What Should Machine Translation Be John s. White Siemens Information Systems Linguistics Research Center PO Box 7247 University station Austin TX 78712 MODERATOR STATEMENT After a considerable hiatus of interest and funding machine translation has come in recent years to occupy a significant place in the discipline of natural language processing. It has also become one of the most visible representations of natural language processing to the outside world. Machine translation systems are relatively unique with respect to the extent of the coverage they attempt and correspondingly the size of the grammatical and lexical corpora involved. Adding to this the complexity introduced by multiple language directions into the same system design and the enormous procedural problems imposed by simultaneous development in several sites gives some clue as to the optimism which presently exists for machine translation. It is obviously believed in many quarters that computer science and linguistic science have become sufficient for production-environment machine translation. Private sector companies continue to introduce new MT systems to the marketplace worldwide and many more are venturing into development and implementation. The industrial interest meanwhile has been instrumental in opening up possibilities for doing basic research in it in part because of direct interaction between industry and research and in part because of the overall increased awareness. It is indeed worth speculating whether renewed interest shown by governmental scientific agencies is related to the level of commercial acceptance. But some feel that this visibility causes more harm than good. The concern has been expressed that an operational failure in machine translation will be seen as a failure in natural language processing generally that a particular implementation rejected by users could cause a snowball ultimately resulting in the demise not just of MT as in the .

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