Skip to main content

Aligning words in the two-level framework

Project description

alignment

Letter by letter alignment of words

NOTE: the programs are under development and many of them may not work as expected

Methods for careful letter by letter alignment for e.g. cognate words in historical linguistics or when matching different stems of a words with each other. Alignment adds zero symbols where necessary in order to match words or stems that differ in length. Alignment is particularly important in two-level morphology because the alignment determines what morphophonemes there will be.

In the present context, alignment is the process of inserting some zero symbols in the words so that the letters or phonemes in the corresponding positions of the words are phonologically as similar as possible, e.g. a Finnish word "kieli" and an Estonian word "keel" could be aligned by inserting a zero symbol 'Ø':

k i e l i
k e e l Ø

Now there are pairs of identical phonemes (k:k, e:e and l:l) and one modification of a vowel (i:e) and the deletion of a word-final vowel (i:Ø).

Contents of this repository

There are stand-alone Python 3 programs which can be used from command-line for aligning individual words:

  1. twol-aligner and metrics.py with which you can compare cognate words of two languages. The latter reads an alphabet definition and writes a weighted finite-state transducer (WFST) which the former program needs for the concrete alignment.

  2. twol-multialign compares two or more corresponding words or morphs and aligns them.

There is a suite of stand-alone programs for building morphophonemic representations of morphemes. The input consists of inflected word forms given as a table where individual cells contain the word forms where morph boundaries are indicated. The forms with the same stem are given as a row of the table and different forms correspond to the columns of the table. The programs are:

  1. twol-table2words reads in a table in CSV (Comma Separated Values) format and writes it in a one word form per line CSV format.

  2. twol-words2zerofilled reads in the output of the above program and aligns the morphs, i.e. stems of the same lexeme with each other and alternate forms of affixes of the same grammatical form with each other. Aligned result is a table where the morphs include the optimally inserted zeros as an additional column in the CSV format file.

  3. twol-zerofilled2raw reads in the output of the above program and produces an additional column which contains raw morphophonemic forms of each morpheme.

  4. twol-raw2named reads in the output of the above program and a table of user-given shorter names for some raw morphophonemes and writes out the examples as two-level symbol pairs, one example per line. The examples now consist of a sequence of symbol pairs where the first component of a pair is the morphophoneme and the second component is the surface character. This file is used by the two-level compiler in conjunction with the rules which the linguist now can start to design.

More information on these programs can be found at: https://pytwolc.readthedocs.io/en/latest/morphophon.html and by starting the programs with a --help option.

Licenses

The programs aligner.py, charmetric.py and multialign.py are written by Kimmo Koskenniemi alone and he has the copyright to these programs. The programs are free software according to the GNU General Public License Version 3, 29 June 2007, see LICENSE.txt in this repository or https://www.gnu.org/licenses/gpl-3.0.en.html for the full text of the license.

The file tyveb-n-stems.text is derived from a file available at the Institute of Estonian Language (IEL) https://www.eki.ee/tarkvara/perlmorf/tyvebaas.pmf. The license for the file can be seen at https://www.eki.ee/eki/licence.html

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for twolalign, version 0.0.19
Filename, size File type Python version Upload date Hashes
Filename, size twolalign-0.0.19-py3-none-any.whl (35.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size twolalign-0.0.19.tar.gz (17.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page