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ANLP
1994
112views more  ANLP 1994»
13 years 6 months ago
Tagging and Morphological Disambiguation of Turkish Text
Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In language...
Kemal Oflazer, Ilker Kuruöz
LREC
2008
128views Education» more  LREC 2008»
13 years 6 months ago
Unsupervised Lexical Acquisition for Part of Speech Tagging
It is known that POS tagging is not very accurate for unknown words (words which the POS tagger has not seen in the training corpora). Thus, a first step to improve the tagging ac...
Dan Tufis, Elena Irimia, Radu Ion, Alexandru Ceaus...
DEXAW
2007
IEEE
141views Database» more  DEXAW 2007»
13 years 11 months ago
Automatic Annotation for Korean--Approach Based on the Contextual Exploration Method
We present an automatic semantic annotation system for Korean based on the Contextual Exploration Method. Creating a morphological analyzer and part-of-speech tagger for the Korea...
Hyunzoo Chai
ACL
2003
13 years 6 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
NLE
2008
118views more  NLE 2008»
13 years 5 months ago
Part-of-speech tagging of Modern Hebrew text
Words in Semitic texts often consist of a concatenation of word segments, each corresponding to a Part-of-Speech (POS) category. Semitic words may be ambiguous with regard to thei...
Roy Bar-Haim, Khalil Sima'an, Yoad Winter