symonjorystevens-guille / fielddbglosser

A semi-automatic IGT morpheme segmenter and glosser written in Javascript

FieldDBGlosser

A semi-automatic IGT morpheme segmenter and glosser

Getting Started

On the server

Install the module with: npm install fielddb-glosser --save

var Glosser = require('FieldDBGlosser').Glosser;
var glosser = new Glosser("yourdbidentifier"); 

In the browser

Install the module with: bower install fielddb-glosser --save

Or, download the production version or the development version.

In your web page:

<script src="bower_components/fielddb-glosser/fielddb-glosser.min.js"></script>
<script>
	var glosser = new Glosser("yourdbidentifier"); 
</script>

Examples

In the examples below, all fields are optional but the more information provided, the more context the glosser can take into account when returning guesses.

To guess an utterance (citation line) from morphemes:

glosser.guessUtteranceFromMorphemes({
	utterance: "",
	morphemes: "Kicha-nay-wa-n punqo-ta",
	allomorphs: "",
	gloss: "open-DES-1OM-3SG door-ACC", 
	translation: "I feel like opening the door."
});

To guess a morpheme segmention from an utterance/orthography line:

glosser.guessMorphemesFromUtterance({
	utterance: "Kichanaywan punqota",
	morphemes: "",
	allomorphs: "",
	gloss: "", 
	translation: "I feel like opening the door."
});

To guess glosses from a morphemes/allomorphs line:

glosser.guessGlossFromMorphemes({
	utterance: "Kichanaywan punqota",
	morphemes: "Kicha-nay-wa-n punqo-ta",
	allomorphs: "",
	gloss: "", 
	translation: "I feel like opening the door."
});

To show a D3.js force directed graph of morphemes in the corpus:

CSS:

#corpus-precedence-rules-visualization {
	background-color: #333;
	text-align: center;
}

Javascript:

var doubleClickMorpheme = function(dataPoint){
	console.log("Someone double clicked me ", dataPoint);
};

try {
	glosser.visualizeMorphemesAsForceDirectedGraph(null, document.getElementById("corpus-precedence-rules-visualization"), "https://example.com/yourdbidentifier", doubleClickMorpheme);
} catch(e) {
	console.warn("There was a problem loading your corpus visualization.");
}

Sample glosser visualization client code

For source code see samples/vanilla

Contributing

In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code using Grunt.

Also, please don't edit files in the "dist" subdirectory as they are generated via Grunt. You'll find source code in the "lib" subdirectory!

Release History

• v1.82 Added more functions to the glosser so the client side apps dont have to invent the user experience. Previously the prototype app never overwrote a gloss or morpheme segemetnation if the user had already modified it. But the spread sheet app deleted the users chagnes which was very frustrating. By putting the functionailty in the glosser itself and moving it into a bower component there is a higher chance that this wont happen...
• v1.16 Basic glosser which uses a map reduce of precedence rules to build a morphemes template, and D3.js visualization of morphemes

License

Copyright (c) 2013 FieldDB Contributors Licensed under the Apache 2.0 license.