Granger et al., 2023 - Google Patents
Learner translation corpora: Bridging the gap between learner corpus research and corpus-based translation studiesGranger et al., 2023
- Document ID
- 5889119267861202836
- Author
- Granger S
- Lefer M
- Publication year
- Publication venue
- International Journal of Learner Corpus Research
External Links
Snippet
LTC-based research to date has examined a broad range of topics, but two main strands dominate the field. First, there are theory-oriented studies that examine translation features in learner translations (Section 4. 1). Alongside this group of studies, there is an applied …
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- G06F17/2809—Data driven translation
- G06F17/2827—Example based machine translation; Alignment
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- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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- G06F17/289—Use of machine translation, e.g. multi-lingual retrieval, server side translation for client devices, real-time translation
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