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[PDF] Top 20 PaCCSS IT: A Parallel Corpus of Complex Simple Sentences for Automatic Text Simplification

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PaCCSS IT: A Parallel Corpus of Complex Simple Sentences for Automatic Text Simplification

PaCCSS IT: A Parallel Corpus of Complex Simple Sentences for Automatic Text Simplification

... present PaCCSS–IT, a Parallel Corpus of ComplexSimple Aligned Sentences for ...large corpus of paired sentences containing structural transfor- mations which can ... See full document

11

A Tagging Approach to Identify Complex Constituents for Text Simplification

A Tagging Approach to Identify Complex Constituents for Text Simplification

... long, complex sentences. Text simplification systems need to detect and categorise constituents in order to generate simpler ...an automatic text simplification ... See full document

9

Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings

Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings

... for text simplification using the framework of statistical machine translation have been extensively studied in recent ...monolingual parallel corpus necessary for training the model requires ... See full document

12

One Step Closer to Automatic Evaluation of Text Simplification Systems

One Step Closer to Automatic Evaluation of Text Simplification Systems

... syntactically complex sentences can be difficult to understand for non-native speak- ers (Petersen and Ostendorf, 2007; Alu´ısio et ...and complex sen- tences are also a stumbling block for many NLP ... See full document

10

Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies

Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies

... a corpus has not been compiled yet, we trained the LM on a subset of the Europarl v7 Spanish corpus (Koehn, 2005) using the SRILM toolkit (Stolcke, ...the sentences used for the training of the LM, ... See full document

9

Simple and Effective Text Simplification Using Semantic and Neural Methods

Simple and Effective Text Simplification Using Semantic and Neural Methods

... more complex than the original) and between cases where the output is as simple as the original, for example in the case of the identity ...a complex word is replaced by a simple one (the ... See full document

12

OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification

OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification

... whole text. Corpora of parallel texts sim- plified for different target reading levels can solve this problem, and support better ARA ...on parallel sen- tence pairs from Wikipedia-Simple ... See full document

8

An Unsupervised Alignment Algorithm for Text Simplification Corpus Construction

An Unsupervised Alignment Algorithm for Text Simplification Corpus Construction

... The simplification of written documents by humans has the objective of making texts more accessible to people with a linguistic handicap, however manual simplification of written documents is very expen- ... See full document

7

Design and Annotation of the First Italian Corpus for Text Simplification

Design and Annotation of the First Italian Corpus for Text Simplification

... This is the starting point to develop a flexible au- tomatic or semi–automatic TS system.The proposed resource can be used to train a supervised classifier aimed at carrying out a semi–automatic TS task. In ... See full document

11

Building a German/Simple German Parallel Corpus for Automatic Text Simplification

Building a German/Simple German Parallel Corpus for Automatic Text Simplification

... Following the formation of the clusters, lex- ical similarity between all paragraphs of corre- sponding AS and LS texts was computed to es- tablish probable mappings between the two sets of clusters. Barzilay and Elhadad ... See full document

9

Relative clause extraction for syntactic simplification

Relative clause extraction for syntactic simplification

... of sentences, especially in long sentences where such phenomena are more ...ple sentences are usually much easier to understand by humans and can be more reliably processed by Natural Language ... See full document

10

Syntactic Sentence Simplification for French

Syntactic Sentence Simplification for French

... the Simple English Wikipedia, a simpli- fied version for children and non-native speakers that currently comprises more than 100,000 arti- ...strictly parallel, which further complicates machine ...a ... See full document

10

Automatic paraphrasing based on parallel corpus for normalization

Automatic paraphrasing based on parallel corpus for normalization

... In this paper, we described a method for acquiring para- phrasing rules from a parallel corpus. These rules normal- ize the expressions of the corpus by replacing synonymous expressions with a major ... See full document

5

Automatic Text Categorization using the Importance of Sentences

Automatic Text Categorization using the Importance of Sentences

... similar sentences to the title contain important terms ...Nevertheless, sentences with the term, ‘question’, must be handled importantly because they can have key terms about the ... See full document

7

Noisy Parallel Corpus Filtering through Projected Word Embeddings

Noisy Parallel Corpus Filtering through Projected Word Embeddings

... allel corpus filtering shared task is to select the 5 million words of parallel sentences producing the highest-quality machine translation system, given a set of automatically crawled sentence ... See full document

5

Simple English Wikipedia: A New Text Simplification Task

Simple English Wikipedia: A New Text Simplification Task

... and Simple English Wikipedia have both received some recent attention as a useful resource for text simplification and the related task of text ...phrase simplification rules based on ... See full document

5

Improving Text Simplification Language Modeling Using Unsimplified Text Data

Improving Text Simplification Language Modeling Using Unsimplified Text Data

... We hypothesize that the key benefit of addi- tional normal data is access to more n -gram counts and therefore better probability estimation, partic- ularly for n-grams in the simple corpus that are unseen ... See full document

10

Building a Web Based Parallel Corpus and Filtering Out Machine Translated Text

Building a Web Based Parallel Corpus and Filtering Out Machine Translated Text

... quality corpus of parallel sentences appropriate for training a statistical machine translation ...our corpus by training a phrase-based translation system (Koehn et ...these sentences ... See full document

9

Mining Paraphrasal Typed Templates from a Plain Text Corpus

Mining Paraphrasal Typed Templates from a Plain Text Corpus

... We sampled 400 pairs of paraphrases extracted from each domain and used this set of 2400 pairs to conduct a crowd-sourced human evaluation on CrowdFlower. For each template pair, we ran- domly selected one and used its ... See full document

11

Development of English Punjabi Parallel Corpus for Idioms and Phrases using Automatic Text Alignment Technique

Development of English Punjabi Parallel Corpus for Idioms and Phrases using Automatic Text Alignment Technique

... A parallel corpus is basically a collection of texts in different languages where one of them is the original text and the other is their ...particularly, parallel corpora are vital resources ... See full document

5

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