Moses-support Digest, Vol 135, Issue 4

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Today's Topics:

1. Some Noob Questions (Jesvir Zuniega)


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Message: 1
Date: Sun, 7 Jan 2018 10:09:49 +0800
From: Jesvir Zuniega <engineerkuno@gmail.com>
Subject: [Moses-support] Some Noob Questions
To: moses-support@mit.edu
Message-ID:
<CAFYF8QNp0kJa0zoB136y3_LmgePFUMyhD9r4FX8osGv6D_4ZxA@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hi, I am pretty new in Moses SMT and in the field of NLP.
I've successfully trained two translators for Bikol (ISO 639-3 bcl
<http://www-01.sil.org/iso639-3/documentation.asp?id=bcl>) to English and
an English to Bikol. Evaluation for both translators resulted to decent
BLEU scores which is around 33.0 with parameters (ie. -mbr -mp -s) but
without additional pre-processing techniques like (POS tagging,
morphological analysis, etc...).
And my questions are:

1. Does training an Unsupervised Transliteration Model could help to
improve the translation quality involving a language (Bikol) that consist
of alphanumeric characters only?
2. What are the other pre-processing techniques that does not require a
lexicon (Dictionary)? I am having difficulties to find a good source of
Bikol lexicons because of its unpopularity.
3. Is it possible to train a translation model with a POS tagged corpus as
a source language to a target language which corpus is not POS tagged or
vice versa?

Thank you. :)
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