dingxingdi Skill: gender-fair-inclusive-translation
1. Capability Definition & Real Case
- Professional Definition: The ability to generate target-language translations that employ inclusive or gender-neutral linguistic strategies—including neutralization (e.g., collective nouns), visibility (e.g., dual forms), or neomorphism (e.g., using symbols like '*' or 'ə')—to mitigate generic masculine bias and ensure equitable gender representation without compromising semantic fidelity or grammatical coherence.
- Dimension Hierarchy: Specialized and Culturally Grounded Translation->Dialectal and Socio-Linguistic Translation->gender-fair-inclusive-translation
Real Case
[Case 1]
- Initial Environment: A translation agent is provided with an English source sentence using a plural noun referring to a professional group. The target language is Italian, which typically defaults to the 'generic masculine' plural.
- Real Question: Translate the following into Italian using a gender-neutral strategy: 'The politicians did not decide the outcome.'
- Real Trajectory: The agent identifies 'politicians' as a generic plural noun. It chooses to neutralize the gender by substituting the masculine noun with a collective noun phrase 'le persone con ruoli politici'. It then ensures the verb and surrounding modifiers remain grammatically aligned with this new subject.
- Real Answer: Le persone con ruoli politici non hanno deciso l'esito.
- Why this demonstrates the capability: This demonstrates 'neutralization' by moving away from the standard masculine 'i politici'. The agent uses a descriptive noun phrase that excludes gender markers entirely, satisfying the socio-linguistic requirement for inclusive language.
[Case 2]
- Initial Environment: The environment consists of an English sentence with a generic plural subject and an instruction to make the translation inclusive through 'visibility'.
- Real Question: Translate into inclusive Italian: 'The candidates were nervous before the interview.'
- Real Trajectory: The agent identifies the generic plural 'candidates'. To satisfy the visibility constraint, it provides both the feminine and masculine forms 'le candidate e i candidati'. It appropriately selects the plural masculine adjective 'nervosi' as the standard grammatical agreement for mixed-gender pairs in Italian.
- Real Answer: Le candidate e i candidati erano nervosi prima del colloquio.
- Why this demonstrates the capability: This illustrates the 'visibility' strategy where both genders are explicitly named. It shows the agent can balance inclusive representation while adhering to Italian agreement rules for dual-gender subjects.
[Case 3]
- Initial Environment: A translation agent is given a short English sentence and a request to use non-binary neomorphemes (specifically the asterisk) for the Italian output.
- Real Question: Translate this into Italian using the asterisk for inclusive endings: 'The researcher arrived late.'
- Real Trajectory: The agent recognizes the generic singular 'researcher'. It applies the neomorpheme '' to the noun 'ricercator' and the preceding article 'l*'. It verifies that the past participle 'arrivat*' also adopts the symbolic ending to maintain structural consistency throughout the inclusive clause.
- Real Answer: L* ricercator* è arrivat* in ritardo.
- Why this demonstrates the capability: This shows the 'neomorphism' capability. The agent applies a non-standard orthographic ending to fulfill a specific fairness constraint, demonstrating flexibility beyond traditional dictionary-based translation.
Pipeline Execution Instructions
To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:
Phase 1: Environment Exploration Read the exploration guidelines to discover raw knowledge seeds:
references/EXPLORATION.mdPhase 2: Trajectory Selection Once Phase 1 is complete, read the selection criteria to evaluate the trajectory:
references/SELECTION.mdPhase 3: Data Synthesis Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data:
references/SYNTHESIS.md