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Interactive MT As Support For Non-Native Language Authoring (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Sheremetyeva, Svetlana Nirenburg, Sergei |
| Description | The paper describes an approach to developing an interactive MT system for translating technical texts on the example of translating patent claims between Russian and English. The approach conforms to the human-aided machine translation paradigm. The sys-tem is meant for a source language (SL) speaker who does not know the target language (TL). It consists of i) an analysis module which includes a submodule of interactive syntactic analysis of SL text and a sub-module of fully automated morphological analysis, ii) an automatic module for transferring the lexical and partially syntactic content of SL text into a simi-lar content of the TL text and iii) a fully automated TL text generation module which relies on knowl-edge about the legal format of TL patent claims. An interactive analysis module guides the user through a sequence of SL analysis procedures, as a result of which the system produces a set of internal knowl-edge structures which serve as input to the TL text generation. Both analysis and generation rely heavily on the analysis of the sublanguage of patent claims. The model has been developed for English and Rus-sian as both SLs and TLs but is readily extensible to other languages. 1 |
| File Format | |
| Language | English |
| Publisher Date | 1999-01-01 |
| Publisher Institution | Proceedings of the MT Summit |
| Access Restriction | Open |
| Subject Keyword | Patent Claim Legal Format Interactive Syntactic Analysis Source Language Interactive Mt Sl Text Analysis Module Target Language Automatic Module Morphological Analysis Tl Text Generation Module Tl Text Simi-lar Content Internal Knowl-edge Structure Syntactic Content Technical Text Interactive Analysis Module Tl Text Generation Human-aided Machine Translation Paradigm Interactive Mt System Non-native Language Authoring Tl Patent Claim Sl Analysis Procedure |
| Content Type | Text |
| Resource Type | Article |
