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First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 67 · Act 127 · Transact 10 · Score: Not yet scored
Tool inspector
visualizeTranslatedGrammar
Show a word-order alignment diagram between a source-language sentence and its translation — reveals how word order and grouping differ between the two languages. Use this instead of showGraph whenever a translation involves noticeable reordering or merging worth visualizing (not for a trivial 1:1 word swap) — showGraph's layouts (cose/dagre/breadthfirst/circle) optimize node position for readability, not to preserve reading order, so they can't show a reordering positionally the way this tool does; this one uses a fixed row-based layout instead, where left-to-right position IS the meaning. Build nodes as {id, row, label, p?} and edges as {source, target}: row 2 = each token of the TARGET-language sentence (the language translated INTO), one per word/particle — don't merge two separate words into one token just because they translate to one idiom in the source language (only merge when meaning is truly non-compositional, e.g. 'por favor'->'please'; keep a preposition+noun or article+noun as separate tokens even though they translate to one source word). Row 1 = that token's atomic source-language gloss, with one row-2->row-1 edge per token. Row 0 = natural source-language phrases: group ADJACENT row-1 nodes that belong together grammatically (e.g. an adjective merging into the noun phrase it modifies) under one row-0 node whose label is the fully natural phrase, written naturally — not the pieces concatenated. Every row-1 node needs exactly one row-0 parent, even a lone one (linked to its own row-0 copy with the same label). 'p' (romanization) only on row>=2 nodes whose target language uses a non-Latin script. ORDERING IS THE WHOLE POINT: list row-2 nodes in target-sentence order, but list row-0 nodes in the order they'd naturally appear READING THE SOURCE SENTENCE — this is what makes reordering visible. This matters most on exactly the sentences where it's easiest to get lazy: a verb or question phrase at one end of the target sentence often belongs at the OTHER…
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Input schema
| Property | Type | Required | Description |
|---|---|---|---|
title |
string | no | — |
nodes |
array | yes | — |
edges |
array | yes | — |
Raw JSON schema
{
"type": "object",
"properties": {
"title": {
"type": "string"
},
"nodes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"row": {
"type": "number"
},
"label": {
"type": "string"
},
"p": {
"type": "string"
}
},
"required": [
"id",
"row",
"label"
]
}
},
"edges": {
"type": "array",
"items": {
"type": "object",
"properties": {
"source": {
"type": "string"
},
"target": {
"type": "string"
}
},
"required": [
"source",
"target"
]
}
}
},
"required": [
"nodes",
"edges"
]
}
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