Search Results - "Machine Translation"

Multimodal machine translation through visuals and speech by Sulubacak, Umut, Caglayan, Ozan, Grönroos, Stig-Arne, Rouhe, Aku, Elliott, Desmond, Specia, Lucia, Tiedemann, Jörg

“…Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain…”
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Neural machine translation for low-resource languages without parallel corpora by Karakanta, Alina, Dehdari, Jon, van Genabith, Josef

“…The problem of a total absence of parallel data is present for a large number of language pairs and can severely detriment the quality of machine translation…”
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Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages by Khanna, Tanmai, Washington, Jonathan N., Tyers, Francis M., Bayatlı, Sevilay, Swanson, Daniel G., Pirinen, Tommi A., Tang, Irene, Alòs i Font, Hèctor

“…This paper presents an overview of Apertium, a free and open-source rule-based machine translation platform. Translation in Apertium happens through a pipeline…”
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Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian by Klubička, Filip, Toral, Antonio, Sánchez-Cartagena, Víctor M.

“…This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build…”
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Post-editing neural machine translation versus translation memory segments by Sánchez-Gijón, Pilar, Moorkens, Joss, Way, Andy

“…The use of neural machine translation (NMT) in a professional scenario implies a number of challenges despite growing evidence that, in language combinations…”
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Zero-resource machine translation by multimodal encoder-decoder network with multimedia pivot by Nakayama, Hideki, Nishida, Noriki

“…We propose an approach to build a neural machine translation system with no supervised resources (i.e., no parallel corpora) using multimodal embedded…”
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Apertium: a free/open-source platform for rule-based machine translation by Forcada, Mikel L., Ginestí-Rosell, Mireia, Nordfalk, Jacob, O'Regan, Jim, Ortiz-Rojas, Sergio, Pérez-Ortiz, Juan Antonio, Sánchez-Martínez, Felipe, Ramírez-Sánchez, Gema, Tyers, Francis M.

“…Apertium is a free/open-source platform for rule-based machine translation. It is being widely used to build machine translation systems for a variety of…”
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Optimizing segmentation granularity for neural machine translation by Salesky, Elizabeth, Runge, Andrew, Coda, Alex, Niehues, Jan, Neubig, Graham

“…In neural machine translation (NMT), it has become standard to translate using subword units to allow for an open vocabulary and improve accuracy on infrequent…”
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ThamizhiMorph: A morphological parser for the Tamil language by Sarveswaran, Kengatharaiyer, Dias, Gihan, Butt, Miriam

“…This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named Thamizhi Morph. Tamil is a low-resource language…”
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The METEOR metric for automatic evaluation of machine translation by Lavie, Alon, Denkowski, Michael J.

“…The METEOR Automatic Metric for Machine Translation evaluation, originally developed and released in 2004, was designed with the explicit goal of producing…”
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Cross-lingual sentiment transfer with limited resources by Rasooli, Mohammad Sadegh, Farra, Noura, Radeva, Axinia, Yu, Tao, McKeown, Kathleen

“…We describe two transfer approaches for building sentiment analysis systems without having gold labeled data in the target language. Unlike previous work that…”
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A review of the state-of-the-art in automatic post-editing by do Carmo, Félix, Shterionov, Dimitar, Moorkens, Joss, Wagner, Joachim, Hossari, Murhaf, Paquin, Eric, Schmidtke, Dag, Groves, Declan, Way, Andy

“…This article presents a review of the evolution of automatic post-editing, a term that describes methods to improve the output of machine translation systems,…”
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Context based machine translation with recurrent neural network for English–Amharic translation by Ashengo, Yeabsira Asefa, Aga, Rosa Tsegaye, Abebe, Surafel Lemma

“…Context-aware machine translation approaches improve the quality of translation by incorporating the context of the surrounding phrases in the translation of a…”
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A product and process analysis of post-editor corrections on neural, statistical and rule-based machine translation output by Koponen, Maarit, Salmi, Leena, Nikulin, Markku

“…This paper presents a comparison of post-editing (PE) changes performed on English-to-Finnish neural (NMT), rule-based (RBMT) and statistical machine…”
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Neural machine translation with a polysynthetic low resource language by Ortega, John E., Castro Mamani, Richard, Cho, Kyunghyun

“…Low-resource languages (LRL) with complex morphology are known to be more difficult to translate in an automatic way. Some LRLs are particularly more difficult…”
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Neighbors helping the poor: improving low-resource machine translation using related languages by Pourdamghani, Nima, Knight, Kevin

“…Sentence-level parallel data is essential for training machine translation systems. However, existing parallel data is extremely limited for thousands of…”
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Post-editing neural machine translation versus phrase-based machine translation for English-Chinese by Jia, Yanfang, Carl, Michael, Wang, Xiangling

“…This paper aims to shed light on the post-editing process of the recently-introduced neural machine translation (NMT) paradigm. Using simple and more complex…”
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Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation by Daems, Joke, Macken, Lieve

“…Neural machine translation is increasingly being promoted and introduced in the field of translation, but research into its applicability for post-editing by…”
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Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation by Herbig, Nico, Pal, Santanu, Vela, Mihaela, Krüger, Antonio, van Genabith, Josef

“…In this paper, we develop a model that uses a wide range of physiological and behavioral sensor data to estimate perceived cognitive load (CL) during…”
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A user-study on online adaptation of neural machine translation to human post-edits by Karimova, Sariya, Simianer, Patrick, Riezler, Stefan

“…The advantages of neural machine translation (NMT) have been extensively validated for offline translation of several language pairs for different domains of…”
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