zh-TW and zh-CN previously had no `entity` section. Calling
`detect_entities(..., languages=("zh-TW",))` silently fell back to
English patterns (i18n/__init__.py:231-233), so no Chinese names
were ever extracted — Chinese-speaking users got zero people or
projects detected from their own notes.

This adds entity sections for both locales:

- `candidate_pattern`: common-surname-prefixed CJK n-grams (~100
  surnames covering >95% of Taiwanese / PRC names), length capped
  at {1,2} trailing chars so greedy matches don't swallow the
  trailing verb character (e.g. 朱宜振說).
- `boundary_chars`: `\u4E00-\u9FFF` so the i18n loader's
  script-aware wrap (introduced in MemPalace#932) fires `\b` at CJK↔non-CJK
  transitions. This is the same mechanism used for Devanagari,
  applied to the CJK range.
- `person_verb_patterns`: Chinese verbs attach directly to the
  name with no whitespace, so patterns are written as `{name}說`,
  `{name}問`, `{name}決定` — no `\b` or `\s+` separators.
- `dialogue_patterns`: full-width colon `：`, Chinese quotes
  「」『』, plus the standard Latin forms.
- `pronoun_patterns`: 他 / 她 / 它 / 他們 / 她們 / 您 / 咱.
- `stopwords`: ~140 common particles, pronouns, time expressions,
  question words, conjunctions, UI nouns, and politeness forms.

**Known limitation** (explicitly covered by a test): CJK scripts
have no word delimiters, so a name flanked by CJK on both sides
with no punctuation or whitespace break is not extracted. This
is a fundamental limit of regex-based CJK entity detection —
resolving it would require a dictionary tokeniser. Realistic
Chinese technical writing contains enough non-CJK neighbours
(bullet lines, inline English, full-width punctuation, newlines)
that 3+ occurrences normally produce matches. Verified against a
realistic zh-TW PKM note: 朱宜振 extracted 11x from 8 sentences
with 0.99 person-classification confidence.

**Follow-ups** (separate PRs): same pattern for `ja` and `ko`,
both of which currently share the silent fallback-to-English bug.

Tests: 7 new tests in `tests/test_entity_detector.py`:
- `test_zh_tw_candidate_extraction_at_boundaries`
- `test_zh_tw_person_classification`
- `test_zh_tw_stopwords_filter_common_particles`
- `test_zh_tw_falls_back_to_english_for_non_cjk_names`
- `test_zh_cn_candidate_extraction`
- `test_zh_cn_and_zh_tw_union_covers_both_variants`
- `test_zh_tw_known_limitation_inline_name_no_boundary`

Full suite: 957 passed, 0 failed.

Bumps version across pyproject.toml, mempalace/version.py, README badge,
and uv.lock. Finalizes the 3.3.0 CHANGELOG section (was still labeled
'Unreleased') and adds a 3.3.1 section covering the multi-language
entity-detection infra and the five new locales landed since 2026-04-13.

Highlights:
- Multi-language entity detection infra (#911) + script-aware word
  boundaries for combining-mark scripts (#932) + BCP 47 case-insensitive
  locale resolution (#928) + i18n patterns wired into miner/palace/
  entity_registry (#931)
- Five new fully-supported locales: pt-br (#156), ru (#760), it (#907),
  hi (#773), id (#778)
- UTF-8 encoding fix on read_text() calls for non-UTF-8 Windows locales
  (#946)
- KnowledgeGraph lock correctness (#884, #887)
- Various smaller fixes and improvements

Bumps version across pyproject.toml, mempalace/version.py, README badge,
and uv.lock. Finalizes the 3.3.0 CHANGELOG section (was still labeled
'Unreleased') and adds a 3.3.1 section covering the multi-language
entity-detection infra and the five new locales landed since 2026-04-13.

Highlights:
- Multi-language entity detection infra (MemPalace#911) + script-aware word
  boundaries for combining-mark scripts (MemPalace#932) + BCP 47 case-insensitive
  locale resolution (MemPalace#928) + i18n patterns wired into miner/palace/
  entity_registry (MemPalace#931)
- Five new fully-supported locales: pt-br (MemPalace#156), ru (MemPalace#760), it (MemPalace#907),
  hi (MemPalace#773), id (MemPalace#778)
- UTF-8 encoding fix on read_text() calls for non-UTF-8 Windows locales
  (MemPalace#946)
- KnowledgeGraph lock correctness (MemPalace#884, MemPalace#887)
- Various smaller fixes and improvements

* merge-upstream-2026-04-17: (70 commits)
  fix: diary and hook prompts now guide same-language writing as user
  fix: use smaller batch size for repair with API embedding models
  feat: pluggable embedding model with Gemini support
  fix: keep query rewrite in user's language for better vector search recall
  fix: replace AAAK guidance with natural language in diary_write and stop hooks
  feat: enhance recall gate with prioritized rules, query rewrite guidance, and few-shot examples
  fix: improve recall gate prompt to reduce false positives on CJK continuations
  fix: skip session-local continue recall
  feat: decide recall in one llm call
  feat: use previous assistant replies for recall hooks
  fix(website): correct false claims and stale numbers in live docs
  chore(website): add Google Analytics
  new landing page pt 2
  new landing page
  fix: add explicit UTF-8 encoding to read_text() calls (MemPalace#776)
  feat: Update Indonesian translations
  Add Indonesian language support
  remove unnecessary comment
  fix: use pre-wrapped candidate patterns after MemPalace#932 refactor
  fix: use i18n candidate patterns for entity extraction in miner and palace
  ...