Dependency representation

Here is an example of representing dependencies—the output of syntactic analysis—with arrow arcs.

If you perform the deep linguistic analysis of this sentence:

The company has developed an entirely new category of products.

you'll get a response like this:

{
    "content": "The company has developed an entirely new category of products.",
    "language": "EN",
    "tokens": [
        {
            "syncon": "noun.concepts.cause",
            "start": 0,
            "end": 3,
            "type": "ART",
            "lemma": "The",
            "pos": "DET",
            "id": 0,
            "head": 1,
            "dep": "det"
        },
        {
            "syncon": "noun.organization.company",
            "start": 4,
            "end": 11,
            "type": "NOU",
            "lemma": "company",
            "pos": "NOUN",
            "id": 1,
            "head": 3,
            "dep": "nsubj"
        },
        {
            "syncon": "noun.concepts.cause",
            "start": 12,
            "end": 15,
            "type": "AUX",
            "lemma": "has",
            "pos": "AUX",
            "id": 2,
            "head": 3,
            "dep": "aux"
        },
        {
            "syncon": "verb.general_action.develop",
            "start": 16,
            "end": 25,
            "type": "VER",
            "lemma": "develop",
            "pos": "VERB",
            "id": 3,
            "head": 3,
            "dep": "root"
        },
        {
            "syncon": "noun.concepts.cause",
            "start": 26,
            "end": 28,
            "type": "ART",
            "lemma": "an",
            "pos": "DET",
            "id": 4,
            "head": 7,
            "dep": "det"
        },
        {
            "syncon": "adv.manner.fully",
            "start": 29,
            "end": 37,
            "type": "ADV",
            "lemma": "entirely",
            "pos": "ADV",
            "id": 5,
            "head": 7,
            "dep": "advmod"
        },
        {
            "syncon": "adj.new",
            "start": 38,
            "end": 41,
            "type": "ADJ",
            "lemma": "new",
            "pos": "ADJ",
            "id": 6,
            "head": 7,
            "dep": "amod"
        },
        {
            "syncon": "noun.object_group.category",
            "start": 42,
            "end": 50,
            "type": "NOU",
            "lemma": "category",
            "pos": "NOUN",
            "id": 7,
            "head": 3,
            "dep": "obj"
        },
        {
            "syncon": "noun.concepts.cause",
            "start": 51,
            "end": 53,
            "type": "PRE",
            "lemma": "of",
            "pos": "ADP",
            "id": 8,
            "head": 9,
            "dep": "case"
        },
        {
            "syncon": "noun.artifact.products",
            "start": 54,
            "end": 62,
            "type": "NOU",
            "lemma": "product",
            "pos": "NOUN",
            "id": 9,
            "head": 7,
            "dep": "nmod"
        },
        {
            "syncon": "noun.concepts.cause",
            "start": 62,
            "end": 63,
            "type": "PNT",
            "lemma": ".",
            "pos": "PUNCT",
            "id": 10,
            "head": 3,
            "dep": "punct"
        }
    ],
    "phrases": [
        {
            "tokens": [
                0,
                1
            ],
            "type": "NP",
            "start": 0,
            "end": 11
        },
        {
            "tokens": [
                2,
                3
            ],
            "type": "VP",
            "start": 12,
            "end": 25
        },
        {
            "tokens": [
                4,
                5,
                6,
                7
            ],
            "type": "NP",
            "start": 26,
            "end": 50
        },
        {
            "tokens": [
                8,
                9
            ],
            "type": "PP",
            "start": 51,
            "end": 62
        },
        {
            "tokens": [
                10
            ],
            "type": "NA",
            "start": 62,
            "end": 63
        },
        {
            "tokens": [],
            "type": "CR",
            "start": 63,
            "end": 63
        }
    ],
    "sentences": [
        {
            "phrases": [
                0,
                1,
                2,
                3,
                4,
                5
            ],
            "start": 0,
            "end": 63
        }
    ],
    "paragraphs": [
        {
            "sentences": [
                0
            ],
            "start": 0,
            "end": 63
        }
    ]
}

• Use the tokens array because it contains the dependency structure of the sentence.

• Create a box for each token.

  

• Label the box with the token text. This can be extracted from the value of the content property of the outer data object using thestart and the end properties of the token.

  

• To decorate the box:

  • You can assign a color corresponding to the part-of-speech, that is the value of the pos property. For example, you can use pink for verbs, light blue for nouns, etc.

    

  • You can also put the part-of-speech tag as an additional label inside the box.

    

  • You can create a tooltip with the token's lemma property.

    

• Put a special mark over the token with the property dep set to root

  

• For all the non-root tokens, draw a dependency arc starting from the box of the token which id property value is equal to the value of head property.
  For example, if the current token has head = 3, start drawing the arc from the box of the token with id = 3 and put the arrow head in the current token's box.

  

• Decorate the arcs with the names of the dependencies you find in the dep property and you're done.