For future work, we want to expand our work to other dialects, while utilizing dialectal morphological analysis to improve conversion.

Sawaf (2010) proposed a dialect to MSA normalization that used character-level rules and morphological analysis .

We tokenized Egyptian and Arabic according to the ATB tokenization scheme using the MADA+TOKAN morphological analyzer and to-kenizer v3.1 (Roth et al., 2008).

Perhaps a morphological analyzer , or just a part-of-speech tagger, could enforce (or probabilistically encourage) a match in parts of speech.

In particular, using a morphological analyzer seeems like a promising possibility.

One approach could be to run a morphological analyzer for dialectal Arabic (e.g.

We also show that finite-state morphological analyzers are effective sources of type information when few labeled examples are available.

While we do not explore a rule-writing approach to POS-tagging, we do consider the impact of rule-based morphological analyzers as a component in our semi-supervised POS-tagging system.

We also did not consider morphological analyzers as a form of type supervision, as suggested by Merialdo (1994).

Also, morphological analyzers help for morphologically rich languages when there are few labeled types or tokens (and, it never hurts to use them).

We use FSTs for morphological analysis : the FST accepts a word type and produces a set of morphological features.

The aforementioned approach relies on language models (LM) and MSA and EDA Morphological Analyzer to decide whether each word is (a) MSA, (b) EDA, (c) Both (MSA & EDA) or (d) OOV.

Percentage of words in the sentence that is analyzable by an MSA morphological analyzer .

Percentage of words in the sentence that is analyzable by an EDA morphological analyzer .