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A Comparative Study of Minimally Supervised Morphological Segmentation
Minimally Supervised Morphological Segmentation
2016/4/7
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented i...
This article proposes ESA, a new unsupervised approach to word segmentation. ESA is an iterative process consisting of 3 phases: Evaluation, Selection, and Adjustment. In Evaluation, both certainty an...
Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)
Text Segmentatio Analysis Wiemer-Hastings
2015/9/1
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to
extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation
algorithm. B...
Chinese Word Segmentation and Named Entity Recognition:A Pragmatic Approach
Chinese Word Segmentation Named Entity Recognition Pragmatic Approach
2015/8/31
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previous approaches mainly in three respects. First, while theoretical linguists have defined Chinese word...
A Critique and Improvement of an Evaluation Metric for Text Segmentation
Critique and Improvement Evaluation Metric Text Segmentation
2015/8/27
The Pk evaluation metric, initially proposed by Beeferman, Berger, and Lafferty (1997), is becoming the standard measure for assessing text segmentation algorithms. However, a theoretical analysis of ...
Syllable-Pattern-Based Unknown-Morpheme Segmentation and Estimation for Hybrid Part-of-Speech Tagging of Korean
Syllable-Pattern-Based Unknown-Morpheme Segmentation Hybrid Part-of-Speech Tagging of Korean
2015/8/27
Most errors in Korean morphological analysis and part-of-speech (POS) tagging are caused by unknown morphemes. This paper presents a syllable-pattern-based generalized unknown-morpheme-estimation meth...
Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation
Integrating Prosodic Lexical Cues Automatic Topic Segmentation
2015/8/26
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and proso...
A Compression-based Algorithm for Chinese Word Segmentation
Compression-based Algorithm Chinese Word Segmentation
2015/8/25
Chinese is written without using spaces or other word delimiters. Although a text may be thought of as a corresponding sequence of words, there is considerable ambiguity in the placement of boundaries...
Unsupervised Learning of Field Segmentation Models for Information Extraction
Unsupervised Learning Field Segmentation Models Information Extraction
2015/6/12
The applicability of many current information extraction techniques is severely limited by the need for supervised training data. We demonstrate that for certain field structured extraction tasks, suc...
Optimizing Chinese Word Segmentation for Machine Translation Performance
Optimizing Chinese Word Segmentation Machine Translation Performance
2015/6/12
Previous work has shown that Chinese word segmentation is useful for machine translation to English, yet the way different segmentation strategies affect MT is still poorly understood. In this paper, ...
The whole mesh deformation model: a fast image segmentation method suitable for effective parallelization
Segmentation Parallelization Deformable models Medical imaging
2015/4/24
In this article, we propose a novel image segmentation method called the whole mesh deformation (WMD) model, which aims at addressing the problems of modern medical imaging. Such problems have raised ...
Speaking Rate From Proximal and Distal Contexts Is Used During Word Segmentation
Speaking Rate Distal Contexts
2015/4/10
A series of eye-tracking and categorization experiments investigated the use of speaking-rate information
in the segmentation of Dutch ambiguous-word sequences. Juncture phonemes with ambiguous durat...
A NOVEL DTW-BASED DISTANCE MEASURE FOR SPEAKER SEGMENTATION
NOVEL DTW-BASED DISTANCE MEASURE SPEAKER SEGMENTATION
2014/11/27
We present a novel distance measure for comparing two speech segments that uses a local version of the well-known DTW algorithm. Our approach is based on the idea of finding word-level speech patterns...
Bayesian Unsupervised Topic Segmentation。
Morphological Segmentation for Keyword Spotting
Keyword Spotting Morphological Segmentation
2014/11/26
Morphological Segmentation for Keyword Spotting。