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What is wordMAP?

Word alignment prediction is the process of associating (mapping) words from some primary text with corresponding words in a secondary text. This tool uses statistical algorithms to determine which words or phrases in two texts are equivalent in meaning.

Alignments provide many valuable benefits to translators including:

• Ensures that all terms and phrases in the primary text have a proper translation in the secondary text.
• Provides in-context vocabulary suggestions to the translator.
• Helps prevent inconsistencies in the translation.

Additionally, alignments provide the foundation for other tools like machine translation.

Use Cases

• Aligning a primary text with a secondary text e.g. when generating word maps for gateway languages.
• Aligning a secondary text with a ternary text.
• Aligning a primary text to a ternary text (using the secondary as a proxy)

The Need

Existing tools require large data sets, complex running environments, and are usually limited to running in a server environment.

We need a tool that:

• runs on the client with minimal configuration.
• works with existing web browser technology.
• integrates with translationCore and related tools.
• works without an Internet connection.
• does not have a minimum corpus size.
• requires minimal system resources.