text stringlengths 0 91 |
|---|
y 481 247 363 214 1 296 |
z 4 0 0 0 0 4 |
æ 1512 723 845 509 583 784 |
ð 1620 888 1177 753 0 914 |
ø 3 0 0 0 0 3 |
đ 3 0 0 0 0 3 |
PAIRWISE OVERLAP (canonical keys): |
BT ∩ CH : 20419 Jaccard=0.413 BT→CH=0.598 CH→BT=0.571 |
BT ∩ Sw : 16158 Jaccard=0.379 BT→Sw=0.473 Sw→BT=0.655 |
BT ∩ DOE: 7847 Jaccard=0.190 BT→DOE=0.230 DOE→BT=0.523 |
BT ∩ PC : 18875 Jaccard=0.386 BT→PC=0.553 PC→BT=0.561 |
CH ∩ Sw : 18232 Jaccard=0.432 CH→Sw=0.510 Sw→CH=0.739 |
CH ∩ DOE: 9257 Jaccard=0.223 CH→DOE=0.259 DOE→CH=0.617 |
CH ∩ PC : 24411 Jaccard=0.543 CH→PC=0.683 PC→CH=0.726 |
Sw ∩ DOE: 7383 Jaccard=0.229 Sw→DOE=0.299 DOE→Sw=0.492 |
Sw ∩ PC : 17113 Jaccard=0.416 Sw→PC=0.694 PC→Sw=0.509 |
DOE ∩ PC : 9947 Jaccard=0.257 DOE→PC=0.663 PC→DOE=0.296 |
POS CONSISTENCY (multi-source entries): |
Agreement: 31852 (85.6%) |
Disagreement: 5337 (14.4%) |
(No POS info on either side excluded) |
====================================================================== |
ALIGNMENT LOGIC SUMMARY |
====================================================================== |
1. DATA SOURCES |
- Bosworth-Toller (BT): 3 columns (headword, POS, definition). Uses acute |
accents (á, é, í, ó, ú) and hyphens in compounds (a-bacan). 36,103 entries. |
- Clark Hall (CH): 2 columns (headword, definition with embedded POS). |
Uses macrons (ā, ē, ī, ō, ū). 36,700 entries. ± prefix indicates optional |
ge- prefix on verbs (1,068 entries). |
- Sweet: 2 columns in REVERSED order (definition, headword). Uses pipe | |
as morpheme boundary. 25,922 entries. About 2,400 entries are cross- |
references mapping to synonyms rather than format normalisations. |
- DOE (Dictionary of Old English): 6 columns. Covers only letters A–I. |
15,907 entries. Most detailed POS info with verb class and declension. |
- ParCorOE master lemma list: 2 columns (lemma, POS). 33,922 entries. |
Uses macrons and ð (not þ). |
2. NORMALISATION STRATEGY (THREE-LAYER) |
Layer 1 — Dictionary-specific normalisation tables: |
Each dictionary has a normalisation table that maps its headword spellings |
to a normalised form. This handles format conventions: hyphens, accent |
marks (BT acute → macron), pipe separators, middle dots. |
Coverage: BT 9,471/36,103 (26%), CH 100%, Sweet 99%, DOE 97%. |
Layer 2 — Canonical key harmonisation: |
The normalised forms from Layer 1 are NOT cross-dictionary consistent: |
BT normalises 'a-bacan' → 'abacan' (no macron on prefix ā-) |
CH normalises 'ābacan' → 'ābacan' (keeps macron) |
ParCorOE has 'ābacan' (with macron) |
To bridge this, we compute a CANONICAL KEY that strips all length marks |
(macrons, acutes) from vowels and unifies þ→ð: |
BT 'abacan' → key 'abacan' |
CH 'ābacan' → key 'abacan' |
PC 'ābacan' → key 'abacan' → MATCH! |
Also handles: ± prefix stripping, (ge) suffix stripping, case folding. |
Layer 3 — Ellis vocalic correspondences: |
For entries still unmatched after Layer 2, systematic sound-spelling |
correspondences from Ellis are applied: |
ie ↔ y (Sweet ie → Late WS y): fierd/fyrd, hiene/hine |
ie ↔ i: diere/dyre |
io ↔ eo (EWS io → LWS eo): bion/beon, biorht/beorht |
on ↔ an (o→a before nasals): monig/manig, monn/mann |
om ↔ am: similarly before labial nasals |
rg ↔ rh: burg/burh, sorg/sorh |
ea ↔ a: breaking variants |
eo ↔ e: before labials |
These are applied to canonical keys to find fuzzy matches. |
3. ALIGNMENT PROCEDURE |
- For each dictionary entry, apply Layer 1 (normalisation table) to get the |
normalised form, falling back to format-stripping if no table entry exists. |
- Compute the canonical key (Layer 2) for each normalised form. |
- Group all entries by canonical key across all dictionaries. |
- Phase 1 (Exact): If 2+ dictionaries share the same canonical key, align them. |
- Phase 2 (Ellis): For single-source keys, generate Ellis variants and try |
to match them with existing keys from other dictionaries. |
- Phase 3 (Disambiguation): Within each canonical key group, sub-group by POS. |
If multiple POS categories exist, add glosses for disambiguation. |
4. SWEET CROSS-REFERENCE HANDLING |
Sweet's normalisation table sometimes maps headwords to completely different |
words (synonyms/see-also). These are detected by comparing the canonical keys |
of the original headword and normalised form; if they differ by >50% of |
characters and the difference is not a known prefix, the normalised form is |
rejected and the headword's own stripped form is used instead. |
5. HOMOGRAPH DISAMBIGUATION |
When the same canonical key maps to entries with different POS tags, separate |
alignment rows are created for each POS group, with gloss information added |
for disambiguation. Example: 'god' → Adj ('good') vs N ('God/god'). |
ALIGNMENT QUALITY METRICS |
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