537a68552a
Reduce perceived latency from key release to final text: - Adaptive chunking: 2.5s first chunk + 5s follow-ups so short utterances start on-device recognition while still recording. - Session-level ASR warmup and audio-format cache reuse to remove per-utterance cold-start of SpeechAnalyzer. - Mirror live pipelined partials to the keyboard transcript line via a new flow.transcriptionPartial App Group key + Darwin ping. Also commits the accumulated custom language model, Flow session, keyboard extension restructure, and Xiaomi MiMo provider work in progress on this branch.
30 lines
870 B
JSON
30 lines
870 B
JSON
{
|
|
"version": "v1",
|
|
"name": "ai-tech-brands",
|
|
"generated_at": "2026-07-05T11:34:08.462301+00:00",
|
|
"locale": "zh-Hans",
|
|
"entry_count": 1259,
|
|
"seed_file": "Scripts/lexicon/seeds/ai_tech_brands_seed.tsv",
|
|
"license": "MIT (curated seed; OSGKeyboard contributors)",
|
|
"categories": {
|
|
"ai_brand": 169,
|
|
"ai_model": 90,
|
|
"ai_platform": 53,
|
|
"ai_term": 197,
|
|
"dev_tool": 283,
|
|
"fintech": 7,
|
|
"tech_company": 314,
|
|
"tech_leader": 37,
|
|
"tech_term": 109
|
|
},
|
|
"notes": [
|
|
"Curated bilingual AI brands, tech companies, terminology, and hot words.",
|
|
"English canonical forms + Chinese aliases for ASR PhraseCount weighting.",
|
|
"Aliases expanded at build time; canonical column tracks the primary form.",
|
|
"English post-processing (casing) remains LLM polish responsibility."
|
|
],
|
|
"files": {
|
|
"phrases": "phrases.tsv"
|
|
}
|
|
}
|