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Task 1: Verb ambiguity in Arabic morphological analysis

Goal: The task is one of the shared tasks in the Workshop on NLP Solutions for Under Resourced Languages (http://nsurl.org/).
Task Description:

Verb ambiguity in Arabic is a challenging problem at all natural language processing levels.
This task is concerned with verb ambiguity which can be in:

(A) Verb type and tense (imperative, past, present).

(B) Active and passive voice.

(C) Verb morphological features (person, number, and gender)


Input: white space tokenized sentence

The task has two sub tasks:

Task 1.A. Verb tense classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
TENSE: if the token is a verb, where TENSE:=PAST|PRESENT|FUTURE|IMPERATIVE

Task 1.B. Active/passive voice classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
VOICE: if the token is a verb, where
VOICE:=ACTIVE|PASSIVE

Task 1.C. Verb morphological features classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
NUMBER-GENDER: if the token is a verb, where
PERSON:=FIRST|SECOND|THIRD
NUMBER:=SINGULAR|DUAL|PLURAL
GENDER:=MASCULINE|FEMININE

To read more follow this link: http://nsurl.org/tasks/task1ambiguity-in-arabic-morphological-analysis/

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Abed Alhakim Freihat
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Abed Alhakim Freihat
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The task is one of the shared tasks in the Workshop on NLP Solutions for Under Resourced Languages (http://nsurl.org/).
Task Description:
Verb ambiguity in Arabic is a challenging problem at all natural language processing levels.
This task is concerned with verb ambiguity which can be in:
(A) Verb type and tense (imperative, past, present).
(B) Active and passive voice.
(C) Verb morphological features (person, number, and gender)
Input: white space tokenized sentence
The task has two sub tasks:
Task 1.A. Verb tense classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
TENSE: if the token is a verb, where TENSE:=PAST|PRESENT|FUTURE|IMPERATIVE
Task 1.B. Active/passive voice classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
VOICE: if the token is a verb, where
VOICE:=ACTIVE|PASSIVE
Task 1.C. Verb morphological features classification
Output: A list of the sentence tokens, each token is annotated as follows:
O: If the token is not a verb
NUMBER-GENDER: if the token is a verb, where
PERSON:=FIRST|SECOND|THIRD
NUMBER:=SINGULAR|DUAL|PLURAL
GENDER:=MASCULINE|FEMININE