Search Results - "Francis M. Tyers"

Morphological analysis and disambiguation for Breton by Tyers, Francis M., Howell, Nick

“…In this paper we present an extended description of two resources for natural language processing of Breton, a morphological analyser and constraint…”
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Correction to: Morphological analysis and disambiguation for Breton by Tyers, Francis M., Howell, Nick

“…In the original publication of the article affiliation link for first author was incorrectly published. This has been corrected with this Correction. The…”
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Curriculum Optimization for Low-Resource Speech Recognition by Kuznetsova, Anastasia, Kumar, Anurag, Fox, Jennifer Drexler, Tyers, Francis M.

“…Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text. However, conventional data feeding…”
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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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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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Who needs particles? A challenge to the classification of particles as a part of speech in Russian by Endresen, Anna, Janda, Laura A., Reynolds, Robert, Tyers, Francis M.

“…In 1985, Zwicky argued that ‘particle’ is a pretheoretical notion that should be eliminated from linguistic analysis. We propose a reclassification of Russian…”
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GUEST EDITORS’ NOTE by Pirinen, Tommi A., Tyers, Francis M., Simon, Eszter, Vincze, Veronika

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Machine translation from Catalan to Sardinian: a translation tool for a language in the process of standardisation by Gianfranco Fronteddu, Hèctor Alòs i Font, Francis M. Tyers

“…This article describes the development of a free/open-source rule-based machine translation system for Catalan to Sardinian based on the Apertium platform…”
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Who needs particles? A challenge to the classification of particles as a part of speech in Russian / Кому нужны частицы? Стоит ли определять частицы как отдельную часть речи в русском языке? by Endresen, Anna, Janda, Laura A., Reynolds, Robert, Tyers, Francis M.

“…In 1985, Zwicky argued that 'particle' is a pretheoretical notion that should be eliminated from linguistic analysis. We propose a reclassification of Russian…”
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Una eina per a una llengua en procés d'estandardització: el traductor automàtic català-sard by Alòs i Font, Hèctor, Fronteddu, Gianfranco, Tyers, Francis M.

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OmniLingo: Listening- and speaking-based language learning by Tyers, Francis M, Howell, Nicholas

“…In this demo paper we present OmniLingo, an architecture for distributing data for listening- and speaking-based language learning applications and a…”
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What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice by Tyers, Francis M, Meyer, Josh

“…This technical report describes the methods and results of a three-week sprint to produce deployable speech recognition models for 31 under-served languages of…”
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Una eina per a una llengua en procés d'estandardització: el traductor automàtic català-sard by Fronteddu, Gianfranco, Alòs i Font, Hèctor, Tyers, Francis M

“…Aquest article presenta el desenvolupament d'un sistema de traducció automàtica en codi obert basat en regles del català al sard mitjançant la plataforma…”
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A bandit approach to curriculum generation for automatic speech recognition by Kuznetsova, Anastasia, Kumar, Anurag, Tyers, Francis M

“…The Automated Speech Recognition (ASR) task has been a challenging domain especially for low data scenarios with few audio examples. This is the main problem…”
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Yet Another Format of Universal Dependencies for Korean by Chen, Yige, Jo, Eunkyul Leah, Yao, Yundong, Lim, KyungTae, Silfverberg, Miikka, Tyers, Francis M, Park, Jungyeul

“…In this study, we propose a morpheme-based scheme for Korean dependency parsing and adopt the proposed scheme to Universal Dependencies. We present the…”
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Can LSTM Learn to Capture Agreement? The Case of Basque by Ravfogel, Shauli, Tyers, Francis M, Goldberg, Yoav

“…Sequential neural networks models are powerful tools in a variety of Natural Language Processing (NLP) tasks. The sequential nature of these models raises the…”
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Apertium: a free/open-source platform for rule-based machine translation: Free/Open-Source Machine Translation by FORCADA, Mikel L, GINESTI-ROSELL, Mireia, NORDFALK, Jacob, O'REGAN, Jim, ORTIZ-ROJAS, Sergio, PEREZ-ORTIZ, Juan Antonio, SANCHEZ-MARTINEZ, Felipe, RAMIREZ-SANCHEZ, Gema, TYERS, Francis M

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Common Voice: A Massively-Multilingual Speech Corpus by Ardila, Rosana, Branson, Megan, Davis, Kelly, Henretty, Michael, Kohler, Michael, Meyer, Josh, Morais, Reuben, Saunders, Lindsay, Tyers, Francis M, Weber, Gregor

“…The Common Voice corpus is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Common Voice is…”
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UniMorph 4.0: Universal Morphology by Batsuren, Khuyagbaatar, Goldman, Omer, Khalifa, Salam, Habash, Nizar, Kieraś, Witold, Bella, Gábor, Leonard, Brian, Nicolai, Garrett, Gorman, Kyle, Ate, Yustinus Ghanggo, Ryskina, Maria, Mielke, Sabrina J, Budianskaya, Elena, El-Khaissi, Charbel, Pimentel, Tiago, Gasser, Michael, Lane, William, Raj, Mohit, Coler, Matt, Samame, Jaime Rafael Montoya, Camaiteri, Delio Siticonatzi, Sagot, Benoît, Rojas, Esaú Zumaeta, Francis, Didier López, Oncevay, Arturo, Bautista, Juan López, Villegas, Gema Celeste Silva, Hennigen, Lucas Torroba, Ek, Adam, Guriel, David, Dirix, Peter, Bernardy, Jean-Philippe, Scherbakov, Andrey, Bayyr-ool, Aziyana, Anastasopoulos, Antonios, Zariquiey, Roberto, Sheifer, Karina, Ganieva, Sofya, Cruz, Hilaria, Karahóǧa, Ritván, Markantonatou, Stella, Pavlidis, George, Plugaryov, Matvey, Klyachko, Elena, Salehi, Ali, Angulo, Candy, Baxi, Jatayu, Krizhanovsky, Andrew, Krizhanovskaya, Natalia, Salesky, Elizabeth, Vania, Clara, Ivanova, Sardana, White, Jennifer, Maudslay, Rowan Hall, Valvoda, Josef, Zmigrod, Ran, Czarnowska, Paula, Nikkarinen, Irene, Salchak, Aelita, Bhatt, Brijesh, Straughn, Christopher, Liu, Zoey, Washington, Jonathan North, Pinter, Yuval, Ataman, Duygu, Wolinski, Marcin, Suhardijanto, Totok, Yablonskaya, Anna, Stoehr, Niklas, Dolatian, Hossep, Nuriah, Zahroh, Ratan, Shyam, Tyers, Francis M, Ponti, Edoardo M, Aiton, Grant, Arora, Aryaman, Hatcher, Richard J, Kumar, Ritesh, Young, Jeremiah, Rodionova, Daria, Yemelina, Anastasia, Andrushko, Taras, Marchenko, Igor, Mashkovtseva, Polina, Serova, Alexandra, Prud'hommeaux, Emily, Nepomniashchaya, Maria, Giunchiglia, Fausto, Chodroff, Eleanor, Hulden, Mans, Silfverberg, Miikka, McCarthy, Arya D, Yarowsky, David, Cotterell, Ryan, Tsarfaty, Reut, Vylomova, Ekaterina

“…The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for…”
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