SDL PhraseFinder
SDL PhraseFinder, now included with SDL Multiterm Extract, uses patent-pending technology developed to give significantly better results than other methods of automating terminology extraction.
Identifying and registering the terminology used across all types of documents from your clients is a manual, time-consuming and laborious task. Now, with SDL PhraseFinder you can extract mono- and bilingual terminology automatically so that the time and costs associated with creating and maintaining corporate terminology are substantially reduced. Having access to the correct terminology will lead to improved quality of both source and translated texts and may reduce review cycles dramatically.
Speed time to market
- Rapid extraction of terms and their translations from multilingual texts
- Less time spent identifying terms and their correct translations
Lower translation costs
- Automation reduces human resources costs for terminology work
- Accurate and complete terminology reduces translation re-work costs
Protect brand, improve satisfaction, and reduce compliance risks
- Terms are accurately extracted from multilingual business content
- Effective terminology management improves quality and consistency
Automating Terminology Extraction
The first step to terminology control is the identification of candidate terms. Given source texts in one of the supported input formats, SDL PhraseFinder automates the process of terminology identification, achieving very high success rates with its sophisticated linguistic algorithms.
SDL PhraseFinder is new, patent-pending, multilingual terminology extraction software that uses powerful linguistic algorithms to accurately identify terms in existing business content. The first step to terminology control is the identification of candidate terms. Given source texts in one of the supported input formats, SDL PhraseFinder automates the process of terminology identification, achieving very high success rates with its sophisticated linguistic algorithms.
SDL PhraseFinder out performs statistical methods of source text analysis, because it uses grammatical and morphological information to more accurately identify term candidates and their translations. Linguistic resources can focus on the appropriate classification of terms rather than wasting time and money filtering out poor candidates and looking for correct translations.
- Flexible filtering
- Candidate sorting
- Default term attributes
- Terminology editing and validation
- Creation of terminology repository
