mlphon 3.1.0

Malayalam phonetic analyser

This is python interface for the Malayalam phonetic analyser - mlphon.

Installation

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

$ 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 = PhoneticAnalyser()
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’: [‘inherentvowel’]}]}, {‘phonemes’: [{‘ipa’: ‘ɭ’, ‘tags’: [‘lateral’, ‘retroflex’]}, {‘ipa’: ‘a’, ‘tags’: [‘inherentvowel’]}, {‘ipa’: ‘m’, ‘tags’: [‘anuswara’]}]}]

Malayalam g2p : Grapheme to Phoneme conversion

from mlphon import PhoneticAnalyser
mlphon = PhoneticAnalyser()
mlphon.grapheme_to_phoneme('കാറ്റ്')

It gives the ipa sequence as output.

[‘kaːṯṯə’]

Malayalam p2g : Phoneme to Grapheme conversion

from mlphon import PhoneticAnalyser
mlphon = PhoneticAnalyser()
mlphon.phoneme_to_grapheme('paːlə')

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 See that it gives two possible sequences, one of which is obsolete.

[പാല്’]

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 akat̪t̪uɭɭat̪ə
അകപ്പെട്ടത്        akappeʈʈat̪ə
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()
for analysis in mlphon.analyse('എന്നാൽ'):
  split_as_phonemes(analysis)

It results in the output:

‘e n̪ n̪ aː l’

‘e n n aː l’

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

from mlphon import PhoneticAnalyser, split_as_syllables
mlphon = PhoneticAnalyser()
for analysis in mlphon.analyse('ഇന്ത്യയുടെ'):
  split_as_syllables(analysis)

It results in the output:

‘i n̪t̪ja ju ʈe’