[PDF] Top 20 Services for text simplification and analysis
Has 10000 "Services for text simplification and analysis" found on our website. Below are the top 20 most common "Services for text simplification and analysis".
Services for text simplification and analysis
... a vector distance metric to select sentences, in- stead it uses the Weighted PageRank algorithm to rank the sentences (Chatterjee and Mohan, 2007). In this case each vertex depicts a unit of text and the edges ... See full document
5
Text Simplification Based On Lexical Analysis
... To simplify a sentence, we need an idea of the structure of the sentence, to identify the components to be separated out. Simplification is a two stage process. The first stage provides a structural ... See full document
5
Improving Text Simplification Language Modeling Using Unsimplified Text Data
... domains, text simplification rep- resents an ideal problem area for ...simplified text data is available in reasonable ...ple text data available is still ...recent text ... See full document
10
Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies
... An example of an original sentence, its manual simplification (“gold standard”), and its automatic simplifications by three different systems (PB, HI- ERO, and Simplext) are given in Table 9. In this example, both ... See full document
9
Simple English Wikipedia: A New Text Simplification Task
... for text simplification and the related task of text ...phrase simplification rules based on edits identified in the revision histories of both Simple English Wikipedia and English ...an ... See full document
5
Text Simplification as Tree Labeling
... in text simplifi- cation is to ensure the grammaticality of the out- put, especially with low-proficiency readers as the target ...syntactic analysis and allows us to operate on discontinuous syntactic ... See full document
7
Lexico syntactic text simplification and compression with typed dependencies
... indicated significant differences between all pairs except: RT-TS, RT-HYB and HYB-TS at p < 0.05. Error Analysis: We manually examined sentences that had average ratings below 2. The main cause of error for TS ... See full document
11
Unsupervised Neural Text Simplification
... and simplification of multi-word phrases (“Tagore emulated numerous styles” get- ting translated to “Tagore replaced many styles”) are quite visible and ...our analysis in Appendix B in- dicate that the ... See full document
11
Metaphors in Text Simplification: To change or not to change, that is the question
... We present an analysis of metaphors in news text simplification. Using features that cap- ture general and metaphor specific character- istics, we test whether we can automatically identify which ... See full document
12
Design and Annotation of the First Italian Corpus for Text Simplification
... The analysis of the frequency distribution of each rule within the two annotated corpora (Table 3) al- lows us capturing similarities and variations across corpora representing two different TS strategies and ... See full document
11
Readability Assessment for Text Simplification
... In order to train (and test) the different machine learning algorithms to automatically identify the readability level of the texts we make use of ma- nually simplified corpora created in the PorSimples project. Seven ... See full document
9
A Tagging Approach to Identify Complex Constituents for Text Simplification
... One of the objectives of these experiments is to establish whether using a reduced tag set offers performance benefits. When tackling a specific syntactic phenomenon, only a subset of signs and tags may be involved. For ... See full document
9
A Hybrid System for Spanish Text Simplification
... information services and docu- mentation accessible for different groups of people with disabilities and to encourage the media - tele- vision, radio, newspapers and the internet - to make their services ... See full document
10
Summarising News Stories for Children
... sentiment analysis (Liu and Zhang, 2012) and computational assessment of text readabil- ity (Collins-Thompson, 2014), as well as related fields such as text simplification (Siddharthan, 2014), ... See full document
10
Controllable Text Simplification with Lexical Constraint Loss
... for text simplifica- ...controllable text simplification model on ...of text simplification, this approach has improved both BLEU (Papineni et ... See full document
7
Optimizing Statistical Machine Translation for Text Simplification
... In this study, we collect multiple human reference simplifications that focus on simplification by para- phrasing rather than deletion or splitting. We first selected the Simple-Normal sentence pairs of simi- lar ... See full document
16
Text Simplification from Professionally Produced Corpora
... Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Fed- erico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., and Herbst, E. (2007). Moses: Open source toolkit for ... See full document
7
Sentence Alignment Methods for Improving Text Simplification Systems
... of text complexity levels (0–1, 0–4, and 3–4) on a 0–2 scale, where: 0 – no semantic overlap in the content; 1 – partial se- mantic overlap (partial matches); 2 – same seman- tic content (good ... See full document
6
A Keyword-based Monolingual Sentence Aligner in Text Simplification
... KEA was designed to identify sentences that are likely to be parallel in monolingual article pairs. As such, KEA will be evaluated over alignment accuracy at sentence level. Since the goal of KEA is to leverage word ... See full document
9
CATS: A Tool for Customized Alignment of Text Simplification Corpora
... The current state-of-the-art systems for automatic sentence- alignment of original and manually simplified text are the Greedy Structural WikNet (GSWN) method (Hwang et al., 2015) used for sentence-alignment of ... See full document
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