Text normalization for a TTS
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The task is to write a Thrax grammar for normalizing text for a
text-to-speech system, i.e. the text should be converted to a form
closer to speech (but without phonetic transcription).

For instance, "I bought 21 books from prof. Smith" should
be transformed into "i bought twenty-one books from professor smith"

You should:

- convert numbers 0-99 into words
- convert Roman numbers I-X into adjectives (the first, the second, etc.)
- expand abbreviations: "e.g." ("for example"), , "prof." ("professor"), "dr." ("doctor"),
  "p." ("page"), "pp." ("pages")
- remove punctuations (except for hyphen)
- lower-case everything

POINTS: 10
DEADLINE: 2020-01-28 23:59