multilingual text
MULTEXT: Multilingual Text Tools and Corpora
... MULTEXT Multilingual Text Tools and Corpora M U L T E X T M u l t i l i n g u a l T e x t T o o l s and Corpora N a n c y I d e a n d J e a n V 6 r o n i s LABORATOIRE PAROLE ET L A N G A G E CNRS & U[.] ...
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Word Sense Acquisition for Multilingual Text Interpretation
... WORD SENSE ACQUISITION FOR MULTILINGUAL TEXT INTERPRETATION Semantics W O R D S E N S E A C Q U I S I T I O N F O R M U L T I L I N G U A L T E X T I N T E R P R E T A T I O N * P a u l S J a c o b s[.] ...
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Multilingual Text Resources at the Linguistic Data Consortium
... MULTILINGUAL TEXT RESOURCES AT THE LINGUISTIC DATA CONSORTIUM M U L T I L I N G U A L T E X T R E S O U R C E S A T T H E L I N G U I S T I C D A T A C O N S O R T I U M David Graft, Programmer Analys[.] ...
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Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks
... This work focuses on the rapid development of linguistic annotation tools for resource-poor languages. We experiment several cross-lingual annotation projection methods using Recurrent Neural Networks (RNN) models. The ...
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Resources for Multilingual Text Generation in Three Slavic Languages
... sen, 1999). SFL enjoys a number of properties that make it particularly suitable for modeling multilingual re- sources. Comparing any two languages, one will always detect commonalities and differences. The ...
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Building Open Javanese and Sundanese Corpora for Multilingual Text to Speech
... bootstrap text-to-speech for individual languages, we also experimented with an alternative ap- proach that capitalizes on language similarities between Ja- vanese and Sundanese on the one hand, and Standard In- ...
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Multilingual Text Entry using Automatic Language Detection
... In contrast, this paper addresses the question of how to decrease the need for the third type of action. From the text entry viewpoint, this question has re- ceived much less attention than the need to reduce the ...
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Evaluation of multilingual text alignment systems: the ARCADE II project
... that multilingual sentence-level alignment is a well- mastered task for languages based on the Latin script (although German poses some problems), and that the main difficulty in alignment in that of segmenting ...
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Statistical Analysis of Multilingual Text Corpus and Development of Language Models
... large text corpora of Hindi, Punjabi and ...of text in the database and thus identifying the language whether the given text belongs to English language or French ...
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Learning Distributed Representations for Multilingual Text Sequences
... the multilingual context, most of the recent work in bilingual representation learning such as (Klementiev et ...larger text sequences from their word ...
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MUSEEC: A Multilingual Text Summarization Tool
... Tables 2, 3, and 4 contain the summarized re- sults of automated evaluations for the MultiL- ing 2015, single-document summarization (MSS) task. The quality of the summaries is measured by ROUGE-1 (Recall, Precision, and ...
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Towards Understanding Theoretical Developments in Natural Language Processing
... Perl/Tk text tagger, AUTASYS – A Fully Automatic English Wordclass Analysis System, TreeTagger – a language independent part-of-speech tagger, Morphy – An integrated tool for German morphology and statistical ...
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Translated vs Non-Translated Method for Multilingual Hate Speech Identification in Twitter
... Besides the translation method, a multilingual text classification problem can be solved by collecting and combining multilingual labeled document into a training dataset. Next, the other document is ...
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Detecting Multilingual Lines of Text with Fusion Moves
... Multilingual text detection in camera-captured images represents a particular case of scene understanding over a small set of object classes ...our multilingual text detection problem is that ...
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Overview of the CLEF ehealth evaluation lab 2018
... Also based on the BM25 baseline run of Terrier, two understandability base- lines were created using readability formulae. We created runs based on CLI (Coleman-Liau Index) and GFI (Gunning Fox Index) scores [4,13], ...
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Neural Semi Markov Conditional Random Fields for Robust Character Based Part of Speech Tagging
... in multilingual settings and when token boundaries are noisy: It matches state-of-the-art part-of-speech tag- gers for various languages and significantly outperforms them on a noisy English version of a benchmark ...
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A Multilingual Evaluation of Three Spelling Normalisation Methods for Historical Text
... a multilingual evaluation including five languages, and we show that all three approaches have a positive impact on normalisation accuracy as compared to the base- ...
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Effort Aware Neural Automatic Post Editing
... problem can be cast as a monolingual translation task and be addressed with different MT solutions (Simard et al., 2007; Pal et al., 2016). However, it has been proven that better performance can be obtained by not only ...
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Learning Multilingual Word Embeddings Using Image Text Data
... the multilingual embedding objective, monolin- gual embeddings are not required to capture all in- formation helpful for post-hoc multilingual align- ...learns multilingual word embeddings using ...
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