[PDF] Top 20 Simple English Wikipedia: A New Text Simplification Task
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Simple English Wikipedia: A New Text Simplification Task
... for text simplification are similar to models for sentence compression; advances in simplification can bene- fit compression, which has applications in mobile devices, summarization and captioning ... See full document
5
A Comparison of Word Similarity Performance Using Explanatory and Non explanatory Texts
... explanatory text datasets such as Wikipedia and Simple Wikipedia preserve enough lexical semantic information to make these kinds of category judgments with equal or better accuracy than news ... See full document
5
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
... Corpora used in ARA were primarily derived from textbooks or news articles written for differ- ent target audiences. In most of the cases, the texts at different levels in these corpora are not compa- rable versions of ... See full document
8
Learning Paraphrastic Sentence Embeddings from Back Translated Bitext
... Prior work has shown that PPDB can be used for learning embeddings for words and phrases (Faruqui et al., 2015; Wieting et al., 2015). However, when learning sentence embeddings, Wieting and Gimpel (2017) showed that ... See full document
12
Problems in Current Text Simplification Research: New Data Can Help
... parallel Wikipedia cor- pus include: 1) The Simple Wikipedia was created by volunteer contributors with no specific objective; 2) Very rarely are the simple articles complete re-writes of the ... See full document
16
Text Simplification as Tree Transduction
... da Simple English Wikipedia mostram resultados promissores, por´em destacam a necessidade de estrat´egias inteligentes de filtragem para remover transformac¸˜oes ... See full document
10
PaCCSS IT: A Parallel Corpus of Complex Simple Sentences for Automatic Text Simplification
... a new approach for automatically acquiring a large corpus of paired sentences containing structural transfor- mations which can be used as a developmental re- source for text simplification ...the ... See full document
11
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 quantities. Simple English Wikipedia contains more than 60K ... See full document
10
Towards an on demand Simple Portuguese Wikipedia
... A development corpus containing examples of cases analysed for each syntactic phenomenon is used to test and refine the rules. The current version of the corpus has 156 sentences extracted from news text. The ... See full document
11
Building a German/Simple German Parallel Corpus for Automatic Text Simplification
... from English into Simple English using En- glish/Simple English Wikipedia ...all Simple English Wikipedia sentences were missing at least one phrase compared ... See full document
9
Evaluation Dataset and System for Japanese Lexical Simplification
... for English: At the SemEval-2012 workshop, many systems were par- ticipating in the English lexical simplification task (Specia et ...the Simple English Wikipedia (Zhu et ... See full document
6
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble Based Voting
... in Simple Wikipedia, and in- cludes only the sentences where a single word is ...of English might still find the simplified version of Wikipedia ...ple Wikipedia and its usefulness for ... See full document
11
Language and Task Independent Text Categorization with Simple Language Models
... Greek text genre classification—where Good-Turing smoothing is not as effective as other techniques, even though it gives better test entropy than some ...level text compression (Bell et ... See full document
8
Simple PPDB: A Paraphrase Database for Simplification
... Data. We collect our training data in two phases. First, we sample 1,000 phrases from the vocab- ulary of the PPDB. We limit ourselves to words which also appear at least once in the Newsela corpus for text ... See full document
6
Negative Lexically Constrained Decoding for Paraphrase Generation
... the text. Typical paraphrase generation tasks include subtasks such as text simplification to control complexity, formality transfer to con- trol formality, grammatical error correction to con- trol ... See full document
6
DIFFICULTIES IN TRANSLATING TEXTS FOR BEGINNER TRANSLATOR STUDENTS
... the English Department of Petra Christian University elective subjects are offered as certified professional packages of fourteen credits each and one of them is Translation Package ...source text (ST), ... See full document
10
Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages
... First, we use the revision history of the Talk page to identify the author and the creation time of each paragraph. We use the Wikipedia Revi- sion Toolkit (Ferschke et al., 2011) to examine the changes between ... See full document
10
Unsupervised Neural Text Simplification
... SARI (Xu et al., 2016) is an automatic evalua- tion metric designed to measure the simpleness of the generated sentences. SARI requires access to source, predictions and references for evaluation. Computing SARI involves ... See full document
11
SemEval 2007 Task 11: English Lexical Sample Task via English Chinese Parallel Text
... Since not all interested participants may have access to the LDC corpus described in the previous sub- section, the second track of this task makes use of English-Chinese documents gathered from the URL ... See full document
5
Analysing Wikipedia and Gold Standard Corpora for NER Training
... pact of training corpora. The CoNLL evalua- tions focused on machine learning methods (Tjong Kim Sang, 2002; Tjong Kim Sang and De Meul- der, 2003) while more recent work has often in- volved the use of external ... See full document
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