Socket
Socket
Sign inDemoInstall

conllu-stream

Package Overview
Dependencies
18
Maintainers
1
Versions
1
Alerts
File Explorer

Advanced tools

Install Socket

Detect and block malicious and high-risk dependencies

Install

    conllu-stream

Using this module you can parse CoNLL-U files as a stream of sentence objects. You can also access the low-level line parser, if you want deeper control.


Version published
Weekly downloads
1
decreased by-66.67%
Maintainers
1
Created
Weekly downloads
 

Readme

Source

Node module to parse CoNLL-U file format as streams

Using this module you can parse CoNLL-U files as a stream of sentence objects. You can also access the low-level line parser, if you want deeper control. Example:

var conllu = require('conllu-stream');

require('fs').createReadStream('ud-treebanks-v2.0/UD_English/en-ud-train.conllu')
    .pipe(conllu())
    .on('data', function(sentence) {
        console.log(sentence.toString());
    });

Content

  • Install
  • Sentence Object
  • Token Object
  • API
  • License

Install

npm install --save conllu-stream

Sentence Object

The basic conllu() transform stream emits sentence objects. They are instances of conllu.sentence.model.Sentence. Properties:

  • type: 'sentence'
  • lineNumber: the first line of the source file representing this sentence
  • lineNumberEnd: the last line of the source file representing this sentence
  • tokens: a map of ids and nodes (words, multiwords, empty_node)
  • structure.all: list of ids of all nodes
  • structure.seq: list of ids of single word nodes, excluding multiwords
  • structure.raw: list of ids of words and multiwords in the original sentence text
  • structure.multiwords: list of all multiwords
  • features: key/value map of features, like sent_id or text
  • comments: list of file comments preceeding this sentence

Methods:

  • toString(): String representation of this sentence (multiwords are breaked down into their components in brackets)
  • getSequence(): Get list of single word tokens

Token Object

The conllu.line.stream() is parsing each line of the input stream and emitting token objects. These are plain JSON objects with the properties depending on the type.

Sentence Boundary
  • type: 'sentence_boundary'
  • lineNumber: the line of the source file representing this token
Sentence Feature
  • type: 'sentence_feature'
  • lineNumber: the line of the source file representing this token
  • key: name of the feature, fx. sent_id, text or newpar
  • value: string or boolean value of the feature, depending on the key
Comment
  • type: 'comment'
  • lineNumber: the line of the source file representing this token
  • value: string value of the file line
Words
  • type: 'word', 'multiword', 'empty_node' or 'unknown_node'
  • lineNumber: the line of the source file representing this token
  • position: position of the word in the sentence, 1 for the first word, etc.
  • endPosition: (only for multiword) when the multiword ends
  • subPosition: (only for empty_node) secondary index, fx. 2 for a empty_node 5.2
  • id: the full id of the word, fx. 1 (word), 1-3 (multiword), 1.1 (empty_node)
  • form: written text form of the word
  • lemma: lemma related to this word
  • upostag: Universal Dependencies POS tag, fx. NOUN, VERB, PROPN, etc.
  • xpostag: Language-specific POS tag, fx. VMFIN for finite modal verbs in German
  • feats: Key/value map of morphological features
  • head: Id of word to link to in dependency tree
  • deprel: Relation of head word in dependency tree
  • deps: Enhanced dependency tree links
  • misc: Key/value map of extra properties of this token

API

conllu() -> Transform Stream

Transform stream takes conllu format as input stream and emits sentence objects as output object stream.

License

Code is licensed under MIT, please see license.md file for details.

Keywords

FAQs

Last updated on 05 Jun 2017

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc