CrossLang: the system of cross-lingual plagiarism detection
Plagiarism and text reuse become more available with the Internet development. Therefore it is important to check scientific papers for the fact of cheating, especially in Academia. Existing systems of plagiarism detection show the good performance and have a huge source databases. Thus now it is not enough just to copy the text as is from the source document to get the original work. Therefore, another type of plagiarism become popular -- cross-lingual plagiarism. We present a CrossLang system for such kind of plagiarism detection for English-Russian language pair.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Text Similarity from Image Contents using Statistical and Semantic Analysis Techniques
Plagiarism detection is one of the most researched areas among the Natural Language Processing(NLP) community. A good plagiarism detection covers all the NLP methods including semantics, named entities, paraphrases etc. …
text similarityA Simple and Effective Method of Cross-Lingual Plagiarism Detection
We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingu…
Machine TranslationRetrievalTranslationWord Sense DisambiguationDetecting Cross-Lingual Plagiarism Using Simulated Word Embeddings
Cross-lingual plagiarism (CLP) occurs when texts written in one language are translated into a different language and used without acknowledging the original sources. One of the most common methods for detecting CLP requ…
Word EmbeddingsEnglish-Arabic Cross-language Plagiarism Detection
The advancement of the web and information technology has contributed to the rapid growth of digital libraries and automatic machine translation tools which easily translate texts from one language into another. These ha…
Machine TranslationSentenceTranslationWord AlignmentA Resource-Light Method for Cross-Lingual Semantic Textual Similarity
Recognizing semantically similar sentences or paragraphs across languages is beneficial for many tasks, ranging from cross-lingual information retrieval and plagiarism detection to machine translation. Recently proposed …
Cross-Lingual Information RetrievalCross-Lingual Semantic Textual SimilarityInformation RetrievalMachine Translation+9