Operations Between Languages

Core Language Operations

1. Translation Operations

• Machine Translation (MT): Text from one language → another.
• Post-editing Translation: Human refinement of machine-translated output.
• Simultaneous Translation: Real-time spoken or text conversion.
• Back Translation: Source → Target → Source (used for validation and data augmentation).

2. Alignment Operations

• Sentence Alignment: Matching corresponding sentences in parallel corpora.
• Word Alignment: Mapping equivalent words or phrases across languages.
• Document Alignment: Linking equivalent documents in different languages.

3. Transliteration & Transcription

• Script Conversion: Representing the same sounds in different writing systems.
• Transliteration: Character-to-character mapping between scripts.
• Phonetic Transcription: Representing pronunciation (e.g., IPA).
• Orthographic Normalization: Standardizing spelling variants.

4. Lexical Operations

• Bilingual Lexicon Induction: Automatically building bilingual dictionaries.
• Cross-lingual Embedding: Mapping words into a shared semantic vector space.
• Word Sense Disambiguation (WSD): Identifying the intended meaning across languages.
• Terminology Extraction: Identifying and aligning domain-specific vocabulary.
• Cognate Detection: Finding historically related words.
• False Friend Detection: Identifying deceptive lexical similarities.

5. Semantic Operations

• Cross-lingual Summarization: Summarizing content from one language into another.
• Semantic Similarity: Measuring meaning equivalence across languages.
• Cross-lingual Question Answering: Query in Language A, answer from Language B.
• Semantic Role Alignment: Mapping predicate–argument structures.
• Textual Entailment: Determining inference relationships across languages.

6. Morphological Operations

• Cross-lingual Stemming: Reducing words to root forms across languages.
• Lemmatization: Mapping inflected forms to dictionary entries.
• Morphological Segmentation: Splitting words into morphemes.
• Affix Transfer: Comparing prefixes, suffixes, infixes, and other grammatical markers.
• Compound Analysis: Decomposing compound words.
• Inflection Mapping: Aligning grammatical paradigms.

7. Syntactic Operations

• Dependency Parsing Transfer: Mapping dependency structures.
• Constituency Alignment: Comparing phrase structures.
• Grammar Projection: Transferring grammatical annotations.
• POS Tag Projection: Cross-lingual part-of-speech annotation.

8. Pragmatic Operations

• Cultural Adaptation: Modifying content for cultural appropriateness.
• Style Transfer: Preserving meaning while changing register or tone.
• Localization: Adapting for regional language variants.
• Honorific Adaptation: Handling politeness systems.
• Idiom Translation: Preserving figurative meaning.

9. Knowledge Operations

• Cross-lingual Information Retrieval (CLIR): Query in one language, retrieve documents in another.
• Knowledge Graph Linking: Connecting multilingual knowledge graphs.
• Ontology Mapping: Aligning conceptual structures.
• Entity Linking: Matching named entities across languages.
• Cross-lingual WordNet Linking: Connecting lexical semantic resources.

10. Generation Operations

• Multilingual Generation: Producing text in multiple languages.
• Controlled Generation: Constrained multilingual output.
• Code-switching Detection: Identifying language mixing.
• Code-switching Generation: Producing mixed-language text.
• Data-to-Text Generation: Structured data → multilingual natural language.

11. Evaluation Operations

• BLEU Score: N-gram precision-based MT evaluation.
• METEOR Score: Precision–recall MT evaluation.
• TER (Translation Edit Rate): Editing effort measurement.
• chrF Score: Character-level evaluation.
• COMET Score: Neural MT quality estimation.
• Fluency Assessment: Measuring naturalness.
• Adequacy Assessment: Measuring meaning preservation.
• Human Evaluation: Expert quality assessment.

12. Corpus Operations

• Parallel Corpus Construction: Building aligned multilingual datasets.
• Comparable Corpus Construction: Similar-topic corpora without sentence alignment.
• Corpus Cleaning: Removing noise and inconsistencies.
• Corpus Annotation: Linguistic labeling.
• Synthetic Parallel Data Generation: Creating pseudo-parallel corpora.
• Monolingual + Cross-lingual Training: Leveraging single-language resources.
• Corpus Balancing: Reducing language and domain bias.

13. Phonological Operations

• Phoneme Alignment
• Sound Correspondence Detection
• Pronunciation Transfer
• Grapheme-to-Phoneme (G2P)
• Phoneme-to-Grapheme (P2G)

14. Historical & Comparative Operations

• Etymology Tracing
• Cognate Identification
• Sound Change Modeling
• Language Family Reconstruction
• Borrowing Detection
• Lexical Diffusion Analysis

15. Formal & Logical Operations

• Grammar Formalization
• Logical Form Extraction
• Semantic Parsing
• Proof-based Grammar Verification
• Type-Theoretic Representation
• Formal Ontology Alignment

Research-Relevant Categories

Hierarchical Taxonomy

Language Operations
├── Translation
├── Alignment
├── Transliteration
├── Transcription
├── Lexical
├── Semantic
├── Morphological
├── Syntactic
├── Pragmatic
├── Knowledge
├── Generation
├── Evaluation
├── Corpus
├── Phonological
├── Historical & Comparative
└── Formal & Logical