mlphon 3.0.0

Installation

Python 3 is required. Using with venv is recommended

$ pip install mlphon

Usage

Using Virtual Environment (https://docs.python.org/3/library/venv.html) is recommended.

To start using this python library

pip install mlphon

Syllablize a Malayalam Word

The following python snippet will split a word in Malayalam script into syllables.

from mlphon import PhoneticAnalyser mlphon = Phonetic_analyser() mlphon.split_to_syllables(‘കേരളം’)

It will give the result

[‘കേ’, ‘ര’, ‘ളം’]

Phonetically analyse a Malayalam Word

from mlphon import PhoneticAnalyser mlphon = PhoneticAnalyser() mlphon.analyse(‘കേരളം’)

It gives the result as a sequence of ipa and associated phonetic tags.

[{‘phonemes’: [{‘ipa’: ‘k’, ‘tags’: [‘plosive’, ‘voiceless’, ‘unaspirated’, ‘velar’]}, {‘ipa’: ‘eː’, ‘tags’: [‘v_sign’]}]}, {‘phonemes’: [{‘ipa’: ‘ɾ’, ‘tags’: [‘flapped’, ‘alveolar’]}, {‘ipa’: ‘a’, ‘tags’: [‘schwa’]}]}, {‘phonemes’: [{‘ipa’: ‘ɭ’, ‘tags’: [‘lateral’, ‘retroflex’]}, {‘ipa’: ‘a’, ‘tags’: [‘schwa’]}, {‘ipa’: ‘m’, ‘tags’: [‘anuswara’]}]}]

Malayalam g2p : Grapheme to Phoneme conversion

from mlphon import PhoneticAnalyser mlphon = PhoneticAnalyser() mlphon.grapheme_to_phonemes(‘കാറ്റ്’)

It gives the ipa sequence as output.

[‘kaːṯṯ’]

Malayalam p2g : Phoneme to Grapheme conversion

from mlphon import PhoneticAnalyser mlphon = PhoneticAnalyser() mlphon.phoneme_to_grapheme(‘kaːṯṯ’)

It gives the corresponding grapheme sequences as output. See that it gives two possible sequences, one of which is obsolete.

[‘കാറ്റ്’, ‘കാഺ്ഺ്’]

Command Line Interface for the above operations: mlphon

usage: mlphon [-h] [-s] [-a] [-p] [-g] [-i INFILE] [-o OUTFILE] [-v]

optional arguments: -h, –help show this help message and exit -s, –syllablize Syllablize the input Malayalam string -a, –analyse Phonetically analyse the input Malayalam string -p, –tophoneme Transcribe the input Malayalam grapheme to phoneme -g, –tographeme Transcribe the input phoneme to Malayalam grapheme -i INFILE, –input INFILE source of analysis data -o OUTFILE, –output OUTFILE target of generated strings -v, –verbose print verbosely while processing

For example to perform g2p operation on a set of words stored in input.txt with one Malayalam word per line,

mlphon -p -i path/to/inputfile.txt -o path/to/outputfile.txt

Inputfile contents:

cat path/to/inputfile.txt അകത്തുള്ളത് അകപ്പെട്ടത് അകലെ

Outputfile contents:

അകത്തുള്ളത് akat̪t̪uɭɭat̪ അകപ്പെട്ടത് akappeʈʈat̪ അകലെ akale

Application: Using mlphon to create a phonetic lexicon

A typical use case of phonetic analysis is to create a phonetic lexicon to be used in Automatic Speech Recognition or Text to Speech Synthesis. The phonetic representation with each phoneme separated by a space can be obtained as below:

from mlphon import PhoneticAnalyser, split_as_phonemes mlphon = PhoneticAnalyser() split_as_phonemes(mlphon.analyse(‘ഇന്ത്യയുടെ’))

It results in the output:

‘i n̪ t̪ j a j u ʈ e’

The phonetic representation with each syllable separated by a space can be obtained as below:

from mlphon import PhoneticAnalyser, split_as_syllables mlphon = PhoneticAnalyser() split_as_syllables(mlphon.analyse(‘ഇന്ത്യയുടെ’))

It results in the output:

‘i n̪t̪ja ju ʈe’