Machine Translation System Sample Clauses

Machine Translation System. PANACEA WP 8 defines a specific use case for evaluation, which is the adaptation of an MT system to a specific / specialised domain. This a very complex use case, however is does not cover all PANACEA tools, nor all PANACEA languages. In turn, it has practical relevance, as the production of MT systems is one of the major industrial applications of language technology. Details and requirements for this use case are given below (Chapter 3). It will imply: • Web crawling, in search for a corpus of parallel documents for a particular special domain • Normalisation of these documents; removal of boilerplates, normalisation of character codes, hyphenation, etc. • Sentence segmentation, breakdown of texts into sentences • Sentential alignment; handling of non-alignable segments • Tokenisation, both for RMT and SMT usage With this toolset, the input for one type of MT systems can be generated. For RMT systems, additional tools are required which produce the glossaries describing the domain-specific terminology. These tools are: 1 Evaluation of an opinion mining application is not intetnded for PANACEA; it is just mentioned to show that machine translation is not the only application which PANACEA is able to support. • Monolingual term extraction, identifying the source terms (both single and multiwords) • Monolingual term annotation, producing the entry annotations required by the MT system; both for the source and later for the target side entries • Bilingual term extraction, identifying translation candidates for a given source term • Bilingual term annotation which defines transfer conditions for lexical selection in case of for 1:n translations • Glossary term input, to merge the domain specific terminology with the already existing terms2 • Named entity recognition for proper names, which must be protected from being translated, or added to the dictionaries as proper names In a factory-like workflow, these tools should be concatenated in (maybe two) series of workflows, to be called „General-MT-adaptation‟ and „RMT-adaptation‟ respectively. It should be noted that some of these tools, like term extraction, named entity recognition etc., themselves can be workflows, consisting of several elementary steps like dictionary lookup, tagging etc.
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