Untitled Quiz

Linguistically and culturally adapting a text (or part of a text) and visuals, maximizing positive reception from a target audience.

Adapting video games to new languages and cultures.

Fictional elements (e.g., characters, items, places) in a video game.

Real-world references (e.g., buildings, objects) in a video game.

Large language models that can be used for tasks like translation.

New words or phrases.

New words or names created for Pokémon (fictional creatures) games

The art of crafting effective prompt to get specific information from a large language model

Providing a description of desired output to a AI model, without providing specific examples.

Giving one instruction to an AI model for a specific task, like transcreation.

The result of a creative adaptation of a text from one language to another.

A person who adapts products, such as video game text, to a language other than its original.

A word formed by combining parts of two or more words.

Pokémon name combining "cinder" and "quill", with a fire/spiky theme.

A flexible translation approach for video games that allows localizers to adapt cultural references to properly engage players with a smooth experience in the target location.

Elements from a specific culture used in a text, such as jokes, historical events or traditions.

Complete freedom or authority to act without restrictions.

A debate about whether all translations require creativity or if transcreation is a specific type of translation that involves more creative input, altering and adding cultural elements. Some believe all translations are inherently creative.

The specific characteristics and requirements of video games, including its user-oriented, input-driven nature and its need for smooth player experience

The story element of a video game, such as dialogues, plot, or setting. This part is specially important for transcreation considerations.

A method for generating more diverse and relevant transcreative outputs by feeding the output of one prompt as input to a subsequent prompt.

Translating with an emphasis on capturing the spirit and essence of the original, even if it means deviating from a literal translation.

When an AI model generates incorrect or nonsensical information due to limitations in its training data or understanding.

Forcing AI models to be overly creative can lead to inaccurate or nonsensical outputs, as they might try to generate something they haven't been trained on.

To achieve increasingly creative and relevant translations by iteratively feeding the output of one prompt as input for the next, until the desired level of transcreation is achieved.

Chained prompting can be used to find unique and creative translations for 'Pokémonikers', aiming to capture the spirit of the original name while adapting it for a new language and culture.

Maintaining a consistent and believable fictional world within a game, including character names, locations, and lore.

A sense of unity and connection between different elements in a game, like character names, items, and storylines.

Fictional elements in a game that are related to each other, forming a network of connections.

Translating game text while adhering to specific limitations, such as screen space, gameplay mechanics, or existing terminology.

How well a game's mechanics and controls are adapted to a specific language and culture, ensuring smooth and enjoyable gameplay.

Limitations in the amount of visual space available on a screen for displaying translated text in a game.

Maintaining consistency in the use of words and terms across a game's text, dialogue, and interface.

Unequal amounts of training data for different languages can affect the quality of translation results, especially for language pairings with less data.

The practice of adapting Pokémon creature names in different languages for official versions of the game. It can impact GPT's ability to translate these names accurately.

Using GPT for transcreation can raise legal issues as AI-generated outputs may infringe on copyright laws, potentially leading to financial and legal consequences.

Determining the rightful authorship of a transcreations created with the assistance of GPT models is a complex ethical debate.

The advanced GPT models used for transcreation are often behind paywalls, with limited usage restrictions, which can limit accessibility and potentially impact the market and workforce.

GPT models can produce variable outputs, making them less reliable for precise tasks like translation, where consistency is crucial.

The process of crafting effective prompts and fine-tuning GPT models for transcreation can be time-consuming, potentially impacting productivity.

It's uncertain whether GPT-based transcreation can enhance overall productivity, especially for seasoned translators who have established transcreation workflow.