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This is the homework assignment for CSCI 544 — Applied Natural Language Processing, Spring 2016.

Homework Description:

Homework 1:

  1. Computation of all the anagrams of a word.
  2. Conversion of UTF-16 to UTF-8.

Homework 2:

Developing a Naive Bayes classifier to classify hotel reviews.

Homework 3:

Developing a Hidden Markov Model for part-of-speech tagger for Catalan.

The training data is already provided tokenized and tagged. The test data will be provided tokenized, and our tagger will add the tags.

Homework 4:

We implemented a program that calculates the BLEU evaluation metric, as defined in Papineni, Roukos, Ward and Zhu (2002): Bleu: a Method for Automatic Evaluation of Machine Translation, ACL 2002.

We ran the program on sets of candidate and reference translations with the data in four languages : German, Greek, Portuguese and English.

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