Digital assistant voice
Command translation
Challenge
Improve recognition of non-English voice commands by improving the naturality of translations used in bot training.
Our approach
Removed wake words from client-supplied source text prior to translation.
Sourced high-quality native translators with bidirectional expertise in US English and native language modern vernacular, as well as high scores from previous human translation assignments.
Used proprietary MT Detection tool to measure the distance between translator-supplied strings and known machine-translated strings, automatically flagging suspicious strings for human review and retranslation as appropriate.
Validated that strings bore no trace of machine translation or post-editing, and performed review, proofreading, and auto QA checks for punctuation and grammar.
Results
Extremely high-naturality translation datasets that are objectively validated to comprise human translation in their entirety.
Project details
Customer profileGlobal retail and cloud computing giant
Data TypeSpeech utterances Translation of user voice commands in text format
Audio Transcription & Annotation
Audio Categorization
Scope of Work5-10 translators and 2-3 reviewers
35,000 words per language pair Local language to English
Geographical CoverageEnglish to 15 languages
Collection MethodologyRemote in particular country
Duration of EngagementOngoing work with batch turnaround time (TAT) within 2 weeks