منابع مشابه
Extended finite state models of language
In this volume, AndrOs Kornai has put together a collection of articles that strongly argue his contention that finite-state approaches to natural language processing (NLP) are now part of the mainstream, both theoretically and computationally. The papers included were first presented at a 1996 workshop, held in Budapest as part of the European Conference on Artificial Intelligence (ECAI '96), ...
متن کاملLearning Extended Finite State Models for Language Translation1
The use of Subsequential Transducers (a kind of FiniteState Models) in Automatic Translation applications is considered. A methodology that improves the performance of the learning algorithm by means of an automatic reordering of the output sentences is presented. This technique yields a greater degree of synchrony between the input and output samples. The proposed approach leads to a reduction...
متن کاملLearning Extended Finite State Models
The use of Subsequential Transducers (a kind of Finite-State Models) in Automatic Translation applications is considered. A methodology that improves the performance of the learning algorithm by means of an automatic reordering of the output sentences is presented. This technique yields a greater degree of synchrony between the input and output samples. The proposed approach leads to a reductio...
متن کاملLearning Finite-State Models For Language Understanding
Language Understanding in limited domains is here approached as a problem of language tra~lation in which the target language is a ]o~nal language rather than a natural one. Finite-state transducers are used to model the translation process. Furthermore, these models are automatically learned from ironing data consisting of pairs of natural-language/formal-language sentences. The need for train...
متن کاملFinite-state models for lexical reordering in spoken language translation
The problem of machine translation can be viewed as consisting of two phases: (a) lexical choice phase where appropriate target language lexical items (words or phrases) are chosen for each source language lexical item and (b) reordering phase where the chosen target language lexical items are reordered to produce a meaningful target language string. In earlier work we have shown that nite-stat...
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ژورنال
عنوان ژورنال: Natural Language Engineering
سال: 1996
ISSN: 1351-3249,1469-8110
DOI: 10.1017/s1351324997001526