Unigram Model

method ID: unigrammodel

Related Papers

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Publication: TIPSTER (1994)

DOI: nan

: In a lexicalized grammar Ibrnlal- isni such as LexicMized Tree-Adjoining (h'~unmar (I3'AG), each lexicM item is associated with at least one elementary structure (supertag) that localizes syntactic a.nd semantic …...

2498

Improving Word Segmentation by Simultaneously Learning Phonotactics

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The most accurate unsupervised word seg- mentation systems that are currently avail- able (Brent, 1999; Venkataraman, 2001; Goldwater, 2007) use a simple unigram model of phonotactics. While this sim- plifies …...

42303

Learning Bigrams from Unigrams

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DOI: nan

Traditional wisdom holds that once docu- ments are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisingly, is able to learn …...

36698

Language Model Rest Costs and Space-Efficient Storage

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Approximate search algorithms, such as cube pruning in syntactic machine translation, rely on the language model to estimate probabili- ties of sentence fragments. We contribute two changes that trade between …...

44080

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Sentiment analysis has become an important classification task because a large amount of user-generated content is published over the Internet. Sentiment lexicons have been used successfully to classify the sentiment …...

19233

Statistical Analysis of Multilingual Text Corpus and Development of Language Models

Authors: nan

Publication: TIPSTER (2014)

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AbstractThis paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjabi and Nepali and the other, development of language models for three Indian languages i.e. Indian …...

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VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter

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Publication: TIPSTER (2016)

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The aim of this paper is to produce a method- ology for analyzing sentiments of selected Twitter messages, better known as Tweets. This project elaborates on two experiments carried out …...

22554