Serbo-Croatian and Macedonian/Final report

Description

The goal of the project was to implement the language pair sh→mk (Serbo-Croatian to Macedonian) in the Apertium framework. During the project we have developed a morphological analyser and a constraint grammar for Serbo-Croatian, a bilingual dictionary, as well as a set of transfer rules. Since Serbo-Croatian entails several standard languages, we added corresponding modules for analysis and translation.

The language resources online for both languages are sparse, and generally hard to reach, so a good part of the project was a lot of manual work. I'm quite happy that after this there will be a publicly available resource for Bosnian, Serbian and Croatian.

Overall, the work on the project was great fun. It provided me with a chance to go through different stages of NLP and MT, and I learned a lot both software-wise and linguistically.

The Morphological Analyser

sh

The Serbo-Croatian morphological analyser was written almost from scratch, using the current grammar of Croatian and hjp.srce.hr as the main resources. The analysis has two modes for ekavian and ijekavian reflex of yat.

The lexicon was constructed to match the Macedonian dictionary, which contains words from a frequency list made from SETimes.

mk

For generation we have used the morphological analyser from the Apertium's mk-bg language pair, written by Tihomir Rangelov.

We added 142 new entries and an absolute superlative degree for adjectives. Macedonian and Serbo-Croatian share the feature that every neuter (or masculine) adjective can be used as an adverb, so we added it to the analysis.

Bidix

The bidix is divided into four sections, one common for analysis, and three for generation (words specific to Bosnian, Croatian or Serbian). This was the least fun part of the work, since we had no word-by-word list available, most of it was done manually.

The Constraint Grammar

The CG for Serbo-Croatian is a very good start, and has a good potential to be reused (i.e. with some modifications it can be used to analyse the Slovene language). It gives quite good results, but has room for restructuring and improvements. It's quite important for the quality of the translation, so it's high on my priority list.

Transfer rules

This was the most challenging part of the project. While the languages in the pair are closely related in vocabulary, their grammatical properties are sometimes quite different. The usage of the definite article is quite difficult to infer, and in some cases the grammatical cases of Serbo-Croatian do not translate clearly to prepositional constructions in macedonian (the problem with partitive vs. possesive genitive). While our transfer rules cover some cases quite well, there is still work to be done here.

Statistics

Dictionaries

• sh morphological analyser lexicon: 7564 lemmata, 170787 surface forms (including ekavian/ijekavian)
• apertium-sh-mk.sh-mk.dix (unique: 9985, total: 13032)

Coverage

• (bs|hr|sr|sh) Wikipedia ( , std. dev.: )
• (sr|hr) SETimes ( 73.624631444, std. dev.: 0.488418931215)

Testvoc

POS	Total	Clean	With @	With #	Clean %
adj	2072699	2072699	0	0	100
vblex	246713	246713	0	0	100
vbmod	96020	96020	0	0	100
np	54190	54190	0	0	100
n	41477	41477	0	0	100
adv	7808	7808	0	0	100
prn	7662	7662	0	0	100
num	4284	4284	0	0	100
vbhaver	224	224	0	0	100
vbser	170	170	0	0	100
pr	77	77	0	0	100
abbr	33	33	0	0	100
cnjsub	30	30	0	0	100
cnjcoo	20	20	0	0	100
vaux	0	0	0	0	100
rel	0	0	0	0	100
preadv	0	0	0	0	100
ij	0	0	0	0	100
guio	0	0	0	0	100
det	0	0	0	0	100
cnjadv	0	0	0	0	100
cm	0	0	0	0	100

Rules

apertium-sh-mk.sh-mk.t1x: 51

apertium-sh-mk.sh-mk.t2x: 11

apertium-sh-mk.sh-mk.t3x: 1

Error rate (Realistic results for now only for setimes.pilots.txt, the rest is just preliminary postedited)

File	Num. Words	% OOV	WER (Sur)	PER (Sur)	WER (Lem)	PER (Lem)
setimes.pilots.txt	454	0.44%	29.96%	20.48%	-	-
setimes.tablice.txt	466	0.43%	12.23%	9.23%	-	-
setimes.klupa.txt	477	18.12%	14.68%	12.37%	-	-
setimes.povijest.txt	519	14.18%	11.95%	9.25%	-	-
wikipedia.txt	-	-	-	-	-	-

Future work

Working on Apertium has opened my mind greatly regarding MT and NLP, and given me some new ideas. As I have said earlier, since the CG is an invaluable module I would like to do improvements on it. The lexicon for Serbo-Croatian is relatively small, and doesn't cover some quite common words, so I would like to expand it further, using a frequency list based on Bosnian, Serbian or Croatian texts. Transfer rules for this language pair are a work in progress, so it is what I will naturally be continuing to work on.