Automated language detection (ALP) uses natural language processing to identify the source language. Language service providers use ALP in a variety of settings.
Multilingual E-Discovery
ALP can help law firms streamline the e-discovery process, which is tedious and involves large amounts of data in multiple languages. Rather than manually sorting through all the data, law firms can partner with a language service provider offering ALP and automatic translation.
ALP and machine translation software scan the data to identify the source language and translate text relevant to the case. Human translators can then provide machine translation post-editing to provide further clarification. This approach has been instrumental in global copyright and patent infringement cases.
Market Research
ALP can also be useful in identifying the source language denmark mobile database of user data for market research. Companies can use ALP and artificial intelligence to quickly translate user data to determine sentiment toward the brand or product. Then, human translators can provide light or full MTPE to clarify the machine translations further, as discussed below.
Monitoring Online Platforms
Many multilingual companies use ALP to identify fraudulent or abusive behavior on their digital platforms. After machines translate the text to the target language, human translators address any discrepancies between the source and target language.
Automated Translation Workflows
Automated translation workflows implement the latest technology to make the translation process easier for clients and translators. To give you a better idea of how automated translation works, we’ve outlined the localization process.