Evaluation-Guided Pre-Editing of Source Text: Improving MT-Tractability of Light Verb Constructions
3404Authors
nan
Abstract
This paper reports an experiment on eval- uating and improving MT quality of light-verb construction (LVCs) – com- binations of a ‘semantically depleted’ verb and its complement. Our method uses construction-level human evaluation for systematic discovery of mistranslated contexts and creating automatic pre-edit- ing rules, which make the constructions more tractable for Rule-Based Machine Translation (RBMT) systems. For rewrit- ten phrases we achieve about 40% reduc- tion in the number of incomprehensible translations into English from both French and Russian. The proposed meth- od can be used for enhancing automatic pre-editing functionality of state-of-the- art MT systems. It will allow MT users to create their own rewriting rules for fre- quently mistranslated constructions and contexts, going beyond existing systems’ capabilities offered by user dictionaries and do-not translate lists. 1
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Proceedings of the 13th Annual Conference of the EAMT, pages 36–43, Barcelona, May 2009 Evaluation-guided pre-editing of source text: improving MT-tractability of light verb constructions Bogdan Babych Anthony Hartley Serge Sharoff Centre for Translation Studies University of Leeds, LS2 9JT, UK {b.babych,s.sharoff,a.hartley}@leeds.ac.uk Abstract This paper reports an experiment on eval- uating and improving MT quality of light-verb construction (LVCs) – com- binations of a ‘semantically depleted’ verb and its complement. Our method uses construction-level human evaluation for systematic discovery of mistranslated contexts and creating automatic pre-edit- ing rules, which make the constructions more tractable for Rule-Based Machine Translation (RBMT) systems. For rewrit- ten phrases we achieve about 40% reduc- tion in the number of incomprehensible translations into English from both French and Russian. The proposed meth- od can be used for enhancing automatic pre-editing functionality of state-of-the- art MT systems. It will allow MT users to create their own rewriting rules for fre- quently mistranslated constructions and contexts, going beyond existing systems’ capabilities offered by user dictionaries and do-not translate lists. 1 Introduction: Automatic rewriting functionality for MT systems Current state-of-the-art RBMT systems offer users customisable functionality for the transfer stage, in the form of user-definable do-not-trans- late lists and user dictionaries. However, the source language analysis capabilities of MT sys- tems remain largely inaccessible to users and such systems still do not offer any support for re- writing at the pre-editing stage. Rewriting offers a way of enhancing the comprehensibility of MT output by more efficiently exploiting existing transfer resources of an MT engine, and greatly extends coverage of construction in a customised way without any changes to the engine. © 2009 European Association for Machine Translation. In our paper we suggest that users will benefit from an integration of source-language rewriting capabilities into MT systems, and from their syn- ergies with existing tools – user dictionaries and do-not-translate lists. Such integration will offer users much greater flexibility, because certain phenomena are much better treated in a monolin- gual rewriting stage rather than within the dic- tionary. For example, rewriting can ‘repair’ in- tractable word order, or handle discontinuous multiword expressions in a much more prin- cipled way than a user dictionary. We describe an experiment which demon- strates the usefulness of source-rewriting func- tionality for state-of-the-art MT systems. For our evaluation-guided rewriting experiment we have chosen light-verb constructions (LVCs) – verb phrases consisting of a 'light', i.e., 'semantically depleted' verb and its object. Objects in such constructions are so-called logical predicates – such as names of actions, activities, states, prop- erties, relations – that put forward some situ- ational propositions. The relationship between verbs and complements can be described in terms of lexical functions like Oper1 (Mel’čuk, 1996). LVCs are very common in a variety of lan- guages, e.g., take action, take part, put pressure, make a decision} in English, оказывать давление ‘put pressure’ (lit. ‘make pressure’) in Russian, or tenir compte de ‘take into account’ (lit. ‘hold account of’) in French (Salkoff, 1999). These constructions are often …
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Labeled Text
This paper reports an experiment on evaluating and improving MT quality of light-verb construction (LVCs) – combinations of a ‘semantically depleted’ verb and its complement. Our method uses construction-level human evaluation for systematic discovery of mistranslated contexts and creating automatic pre-editing rules, which make the constructions more tractable for Rule-Based Machine Translation (RBMT) systems. For rewritten phrases we achieve about 40% reduction in the number of incomprehensible translations into English from both French and Russian. The proposed method can be used for enhancing automatic pre-editing functionality of state-of-theart MT systems. It will allow MT users to create their own rewriting rules for frequently mistranslated constructions and contexts, going beyond existing systems’ capabilities offered by user dictionaries and do-not translate lists. 1
Publication Details
- Paper ID:
- 3404
- Year:
- 2009
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan