November 2022 - Corpora

Postdoctoral fellow in biomedical natural language processing
by Abeed Sarker 11 Nov '22

11 Nov '22

We have several positions available. The postdoctoral fellow will work at Emory University. Emory is one of the top medical schools in the country. The position will involve working on projects funded by the National Institutes of Health and the Centers for Disease Control and Prevention (CDC). Apply via link below. https://faculty-emory.icims.com/jobs/102162/post-doctoral-fellow---departme… Feel free to email me directly with questions. Cheers Abeed Sarker, Ph.D. Vice Chair for Research Dept. of Biomedical Informatics, Emory University Assistant Professor Dept. of Biomedical Informatics, Emory University Dept. of Biomedical Engineering, Georgia Institute of Technology and Emory University 101 Woodruff Circle Office 4101 Atlanta, GA 30322 Email: abeed(a)dbmi.emory.edu | abeed.sarker(a)emory.edu <abeed(a)dbmi.emory.edu> Phone: +1-602-474-6203 Twitter: @sarkerabeed <https://twitter.com/sarkerabeed> Website (lab): https://sarkerlab.org/

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Call for Participation: SemEval-2023 Shared Task 12 - Sentiment Analysis for African Languages (AfriSenti-SemEval)
by Shamsuddeen Hassan Muhammad 10 Nov '22

10 Nov '22

Dear Colleagues, We are glad to invite you to participate in SemEval-2023 Shared Task 12, the first SemEval shared task for sentiment analysis targeting African low resource languages. The AfriSenti-SemEval Shared Task 12 is based on a collection of humanly annotated Twitter datasets in 16 African languages (all low resource) for sentiment classification. This year, we have three sub-tasks, from which the participants can choose one or more tasks depending on their preference. Task A: Monolingual Sentiment Classification Given training data in a target language, determine the polarity of a tweet in the target language (positive, negative, or neutral). If a tweet conveys both a positive and negative sentiment, whichever is the stronger sentiment should be chosen. This sub-task covers 15 languages namely, Hausa, Yoruba, Igbo, Nigerian_Pidgin, Amharic, Algerian Arabic, Kinyarwanda, Twi, Mozambican Portuguese, Swahili, Setswana, isiZulu, Moroccan Arabic/Darija, Xitsonga (South-African Dialect), Xitsonga (Mozambique Dialect) Task B: Multilingual Sentiment Classification Given a combined training data from 12 African languages, determine the polarity of a tweet in the target language (positive, negative, or neutral). Task C: Zero-Shot Sentiment Classification Given unlabeled tweets in two African languages (Oromo, and Tigrinya), leverage any or all of the available training datasets in Subtasks A and B to determine the sentiment of a tweet in the two target languages is positive, negative, or neutral. Helpful Links: Codalab competition page: https://codalab.lisn.upsaclay.fr/competitions/7320 Task website: https://afrisenti-semeval.github.io/ Prize: The afriSenti-SemEval competition has a prize and will be awarded to the best performing team in each of the three sub-tasks. - African League: To encourage African participation, this league is for teams with at least one African . - Masters and Undergraduate League: This league is dedicated to masters and undergraduate students only . - Worldwide League: Be a participant from any country. Important Dates: - Training data ready - 11 September 2022 - Evaluation Starts - 10 January 2023 - Evaluation End - 31 January 2023 - System Description Paper Due - February 2023 - SemEval workshop Summer 2023 - (co-located with a major NLP conference) You can reach out to the organizers at afrisenti-semeval-organizers(a)googlegroups.com Task organizers: - Shamsuddeen Hassan Muhammad (University of Porto, Portugal, Bayero University, Kano, MasakhaneNLP) - Seid Muhie Yimam ( Universität Hamburg, Hamburg; MasakhaneNLP) - Idris Abdulmumin ( Ahmadu Bello University Zaria, Masakhane NLP) - Ibrahim Sa’id Ahmad ( Bayero University, Kano) - Abinew Ali Ayele ( Bahir Dar University, Bahir Dar) - David Ifeoluwa Adelani ( Saarland University, MasaKhaneNLP) - Bello Shehu Bello (Bayero University, Kano) - Vukosi Marivate (University of Pretoria; MasaKhane) - Sebastian Ruder (Google Research ) - Saif M. Mohammad (National Research Council,Canada) - Nedjma Ousidhoum ( The University of Cambridge) - Meriem Beloucif (Uppsala University) - Tadesse Destaw Belay (Wollo University, Dessie)

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Research engineer position in the field of active living technologies
by Christophe Lohr 10 Nov '22

10 Nov '22

Dear all, In the framework of the European/Japanese e-VITA project (https://www.e-vita.coach/), IMT Atlantique is offering a one-year position in the field of active living technologies (IoT, data fusion, AI, cloud/edge architectures, user services, coaching, NLP, etc.). Description and link to apply: https://institutminestelecom.recruitee.com/l/en/o/ingenieure-ou-ingenieur-e… Regard, C. Lohr IMT Atlantique <https://www.imt-atlantique.fr> *Christophe LOHR* Enseignant-chercheur 02 29 00 14 05 Technopôle Brest-Iroise CS 83818 29238 Brest Cedex 3 Site web IMT Atlantique <https://www.imt-atlantique.fr>Twitter IMT Atlantique <https://twitter.com/IMTAtlantique>Facebook IMT Atlantique <https://www.facebook.com/IMTAtlantique>LinkedIn IMT Atlantique <https://www.linkedin.com/school/24772587/>Instagram IMT Atlantique <https://www.instagram.com/imt_atlantique/>Blog IMT Atlantique <http://www.imt-atlantique.fr/l-ecole/actualites> Une école de l'IMT <https://www.imt.fr>

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New Corpora: The third generation Brown corpus (CROWN2021) and its siblings
by Xu, Jiajin 10 Nov '22

10 Nov '22

Dear colleagues, We are proud to announce the release of a new Brown type of American English corpus, i.e. CROWN2021, and six comparable corpora of Catalan, Danish, German, Farsi/Persian, Finnish, Italian, and dozens of similar corpora to come in the next few months. CROWN2021 is a balanced Brown family American English corpus of one million words containing texts published in 2021. It was developed under the leadership of Prof. Jiajin Xu and the texts were collected by Mingchen Sun and 12 other graduate students at Beijing Foreign Studies University (BFSU). CROWN2021 serves as an updated language resource of present-day American written English, and a reference corpus for contrastive studies involving diachronic variation (with Brown, Frown, Crown), regional variation (with LOB, FLOB, CLOB) and cross-linguistic comparison (with LCMC, ToRCH family corpora, GLOBE family corpora). Users can have access to the online version of CROWN2021 and other BFSU-made Brown family corpora at BFSU CQPweb Corpus Portal ( http://114.251.154.212/cqp/). Both user ID and passcode are "*test*". KEY INFORMATION Project leader: Jiajin Xu of the National Research Centre for Foreign Language Education (NRCFLE), BFSU Text collectors: Mingchen Sun (359 texts), Yagang Chen (47 texts), Shujuan Deng (21 texts), Tingyan Zhangchen (19 texts), Meijia Hao (15 texts), Xingke Lv (13 texts), Jiaxi Shen (5 texts), Yuanyuan Lin (4 texts), Junyu Mao (4 texts), Xinzhi Yang (4 texts), Zinuo Zuo (4 texts), Xinkai Deng (3 texts), Ruotong Zha (2 texts) Time of compilation: April 2022 - October 2022 Size: Approximately one million words Language: Contemporary American English Number of texts/samples: 500 samples of 2000+ words each (Short texts are pieced together to form one 2000-word text, but saved separately and marked with A, B, C etc. in the filenames.) Sampling strategy: The Brown Corpus model (see: http://korpus.uib.no/icame/manuals/BROWN/INDEX.HTM) Period: The texts were published in 2021. Released in: November 2022 POS TagSet: The BNC Basic (C5) Tagset POS Tagger: TreeTagger Lemmatiser: TreeTagger Sentence Segmenter: spaCy How to cite: Mingchen Sun, Jiajin Xu et al. 2022. The CROWN2021 Corpus. National Research Centre for Foreign Language Education, Beijing Foreign Studies University Related work: Xu, Jiajin & Maocheng Liang. 2013. A tale of two C's: Comparing English varieties with Crown and CLOB (The 2009 Brown family corpora) <http://icame.uib.no/ij37/Pages_175-184.pdf>. *ICAME Journal *37: 175-183. Jiajin Xu Professor Beijing Foreign Studies University

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Call for Participation: SemEval-2023 Shared Task 3 - Persuasion
by Preslav Nakov 10 Nov '22

10 Nov '22

Call for Participation: SemEval-2023 Shared Task 3 - Persuasion Techniques, Framing and Genre Detection in Online News in a Multi-lingual Setup We are glad to invite you to participate in the SemEval-2023 Shared Task 3 on detecting the genre, the framing, and the persuasion techniques in online news. The main drive behind this task is to foster development of methods and tools to support the analysis of online media content in order to understand what makes a text persuasive: which writing style is used, what key aspects are highlighted, and which persuasion techniques are used to influence the reader. The data used for for this task is made of articles collected from 2020 to mid 2022, they revolve around a range of widely discussed topics such as COVID-19, climate change, abortion, migration, the Russo-Ukrainian war, and local elections. The data presents several novelties: it is multilabel, multilingual (🇫🇷🇵🇱🇬🇧🇷🇺🇮🇹🇩🇪), uses an updated fine-grained taxonomy of persuasion techniques and covers complementary dimensions of what makes a text persuasive. The train contains currently more than 1600 documents and more than 40000 spans annotated for persuasion techniques! Are you interested in using AI systems to analyse political speech, media bias or rhetoric? Then you should not miss this task!!! URL https://propaganda.math.unipd.it/semeval2023task3/ TASKS We offer three subtasks on news articles in six languages (English, French, German, Italian, Polish, and Russian). Subtask 1: NEWS GENRE CATEGORISATION Given a news article, determine whether it is an opinion piece, aims at objective news reporting, or is a satire piece. This is a multi-class task at article-level. Subtask 2: NEWS FRAME CATEGORISATION Given a news article, identify the generic frames used in the article. This is a multi-class task at article-level. Subtask 3: PERSUASION TECHNIQUE DETECTION Given a news article, identify the persuasion techniques in each paragraph. This is a multi-label task at paragraph level. PARTICIPATION & EVALUATION The participants may take part in any number of subtask-language pairs (even just one), and may train their systems using the data for all languages (in a multilingual setup). To promote the development of language-agnostic solutions, there will be also two "surprise" languages for which we will release only test data for evaluation purposes. IMPORTANT DATES 23 September 2022: Registration opens 23 September 2022: Release of the first batch of the training\development set 12 January 2023: Release of the test set 22 January 2023: Test submission site closes February 2023: Paper Submission Deadline March 2023: Notification to authors April 2023: Camera ready papers due Summer 2023: SemEval 2023 workshop TASK ORGANIZERS Giovanni Da San Martino, Preslav Nakov, Jakub Piskorski, Nicolas Stefanovitch

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JLC'23 at Grenoble (France) - CFP
by Marie-Paule Jacques 09 Nov '22

09 Nov '22

Dear Corpora members, Please find below a CFP for the next "Journées de la Linguistique de Corpus". * The 11th International Conference on Corpus Linguistics * 3-6 July 2023, Grenoble * Call for Papers * https://jlc2023.sciencesconf.org/ The International Conference on Corpus Linguistics (JLC), founded by Geoffrey Williams in 2001 at the University of South Brittany, Lorient, France, regularly draws together an interdisciplinary community whose research focus is corpus linguistics. After seven gatherings in Lorient and an interlude in Orleans in 2015 (8th International Conference on Corpus Linguistics), the conference alighted in Grenoble in early July 2017 and in November 2019, organized by the LIDILEM Laboratory with contributions from LIG, ILCEA4, Litt&Arts and the MSH-Alpes. Université Grenoble Alpes is honored to host this international conference again from July 3rd to July 6th 2023. The JLC’23 are organized in collaboration with other labs from French universities (Lyon, Montpellier, Toulouse): DDL, ICAR, Praxiling, CLLE. The objective of JLC'23 is to (re)unite a community that adopts various approaches, be they methodological or disciplinary, to promote corpus linguistics, and to contribute to the evolution of practices in the field by building bridges between different approaches to digital corpora. The participants are invited to share and compare their knowledge of tools, experiences, and findings. In the tradition of previous conferences, the JLC in Grenoble will offer three days of presentations, guest speakers and discussion sessions among the participants. Training sessions on tools and methods will be organized over a half day. This edition of the JLC will put a particular focus on corpora and didactics. A part of the conference will be specifically dedicated to this theme. We expect papers that show and question the use of corpora in teaching, be they feedback from real uses, presentation of methodological approaches for various audiences, or more theoretical points of view... These days will not be limited to this theme and will be open to all kinds of contributions on written, oral or multimodal corpora, which may concern, in a non-exhaustive way : 1. Linguistic approaches to corpora 2. Methods and tools 3. Variations, genres, and discourse 4. Applications and uses of corpora for teaching and learning, translation, terminology... Guest speakers include: Florence Mourlhon-Dallies + another speaker to be confirmed Submissions for a presentation or a demonstration in French or English should not exceed three pages (excluding figures and bibliographic references) and must be anonymous. They will get double peer-reviewing by members of the scientific board. JLC2023 will adopt the SciencesConf system to manage communication proposals. In addition to classic presentations, you may also propose a demonstration (identical submission guidelines). Publication: following the colloquium, authors are welcome to submit an article. This collection of articles will be reviewed and published online. Timetable: 1. First CFP: November 2022 2. Submission deadline: Friday February 3rd 2023 3. Notification of acceptance: Mid-April 2023 4. Final submission version: Friday May 19th 2023 5. Registration begins: May 2023 Best regards -- Marie-Paule Jacques /Mobilisée pour la défense du service public de l'enseignement supérieur et de la recherche/ Maitre de conférences HDR Sciences du langage - Senior Lecturer in Linguistics INSPE et LIDILEM (Laboratoire de linguistique et didactique des langues étrangères et maternelles) Université Grenoble Alpes

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PhD position - "A computational analysis of advertising language on social media"
by Spanakis, Jerry (DACS) 09 Nov '22

09 Nov '22

Do you have a favourite YouTuber? Are you worried that you see too many native ads on Instagram? Are you following the latest events on Twitter? Do you have a passion for Natural Language Processing? Then we need to talk (keep reading) Together with my colleague from law (Catalina Goanta) we are looking for a PhD candidate working on computational analysis methods for advertising language on social media. This is part of the ERC starting grant project on HUMANads, award to Catalina last year. We are looking for somebody with a background in Computer Science (or similar) with focus/interest on NLP. Feel free to reach out if you have more questions. Check the full ad below (or here<https://www.academictransfer.com/en/319811/phd-position-a-computational-ana…>), apply by December 1st via this link<https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po…> Best, -Jerry PhD position 'A computational analysis of advertising language on social media' (1.0 FTE) JOB DESCRIPTION The Utrecht Centre for Regulation and Enforcement in Europe at the Utrecht School of Law, Faculty of Law, Economics and Governance, is looking for a PhD candidate to conduct research in natural legal language processing and social media advertising under the supervision of dr. Catalina Goanta (Utrecht University), and dr. Gerasimos (Jerry) Spanakis (Maastricht University). Content monetization reflects a new era of social media business models, changing the nature of digital advertising from platform to human ads. Human ads are Internet influencers (also referred to as content creators) who earn revenue from social media advertising by creating authentic, relatable advertising content for their armies of followers. While their activity has been touted as a new form of creative labour, the overlap between their freedom of expression, political thought and advertising interests raises some serious concerns. One underlying danger is the convergence of speech in two ways. Consumers and citizens can no longer distinguish (i) between ads and non-ads, and (ii) between commercial and political communications. This is a new form of consumer vulnerability on digital markets where speech cannot be separated from platform infrastructure. Human ads are an emerging category of stakeholders who turn engagement into currency in novel ways. Users are faced with a double transparency problem: (i) human ads have incentives to hide commercial interests, and (ii) platforms have incentives to algorithmically amplify human ads engagement in opaque ways. This reflects a general good faith and fair dealing problem: the social media economy is increasingly based on deceit. However, we know very little about the size of deceit on social media. Even basic questions such as defining influencers or understanding how much sponsored content they post are difficult to formalize and compute. This PhD project consists in conducting interdisciplinary research to develop methodologies for the classification and detection of advertising language on social media. The PhD project will be mainly focused on the application of natural language processing to regulatory issues arising out of the proliferation of commercial and political advertising on social media, but could potentially also include web measurement and social network analysis approaches. Examples of questions which could fall under the PhD project include: * What are the characteristics of commercial v political advertising language on social media? * What kind of research methodologies can be used to classify social media content that is monetized by content creators/influencers? * How can content creators/influencers be computationally defined? * How can we use computer science methodologies to identify, describe and measure social media harms arising out of the proliferation of hidden advertising? This PhD position is part of the European Research Council Starting Grant HUMANads. The PhD candidate will have an opportunity and be expected to further define the initial research objectives set out by the project, in collaboration with the supervision team. This PhD position will be part of a broader project team featuring computer scientists, law and media scholars, and it will be based in the RENFORCE research center and the Molengraaff Institute for private law<https://www.uu.nl/en/organisation/utrecht-university-school-of-law/about-th…>. requirements * Academic excellence proven through a good track record of initiatives related to, among others, academic research; * Obtained (or obtained by the start of the PhD trajectory) Master in Computer Science or a Master in adjacent fields such as Computational Social Sciences, Data Science or Empirical Legal Studies; * Interest in being part of an interdisciplinary team; * Interest in being the first computer science PhD candidate at Utrecht Law School; * Knowledge of natural language processing (and related programming frameworks); * Practical experience with programming (esp. Python); * Affinity to or interest in developing knowledge about social network analysis and web measurement; * Affinity to or interest in developing practical knowledge about social media technologies; * Demonstrable strong interest in doing scientific research and specifically research on the subject of the PhD project; * Ability to process and critically assess large body of complex information; * Clear, critical and creative thinking; * Good planning and organizing skills, ability to deliver high-quality results on time; * Ability to function both independently and under supervision, communicate to the supervisor and process feedback effectively; * Sense of initiative and proactive thinking; * Excellent writing skills; * Excellent command of English. CONDITIONS OF EMPLOYMENT This is an appointment of 1.0 FTE for the duration of 18 months. Upon a positive evaluation of the PhD student’s performance the contract will be extended by a further 2.5 years. The gross salary starts with €2,541 per month in the first year and increases to €3,247 per month in the fourth year of employment (scale P according to the Collective Employment Agreement of the Dutch Universities) for a full-time employment. Besides that, you will receive a holiday allowance of 8% and a year-end bonus of 8.3%. Utrecht University also has an appealing package of terms of employment<https://www.uu.nl/en/organisation/working-at-utrecht-university/terms-of-em…>, including the choice for a good balance between work and private (a good arrangement for leave, among other things), possibilities for development and an excellent pension scheme. For more information, please visit working at Utrecht University<https://www.uu.nl/en/organisation/working-at-utrecht-university> The starting date will be 1 March 2023. The interviews will be scheduled in December 2022. Gerasimos (Jerry) Spanakis, PhD Assistant Professor Department of Advanced Computing Sciences | Maastricht Law+Tech Lab Faculty of Science and Engineering jerry.spanakis(a)maastrichtuniversity.nl<mailto:jerry.spanakis@maastrichtuniversity.nl> https://dke.maastrichtuniversity.nl/jerry.spanakis/ [image001.png] https://www.twitter.com/gerasimoss Paul-Henri Spaaklaan 1, 6229EN, Maastricht, The Netherlands, Room C4.029A Postbus 616, 6200 MD Maastricht T 0031(0)4338-83916 [image002.jpg]

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Permanent research positions
by Olivier Bonami 09 Nov '22

09 Nov '22

[Apologies for cross-posting] The Laboratoire de Linguistique Formelle (www.llf.cnrs.fr <http://www.llf.cnrs.fr/>, LLF) is seeking to support applications in linguistics and language sciences to Research Associate positions at the French Centre National de la Recherche Scientifique (cnrs.fr <http://cnrs.fr/>). CNRS Research Associate positions are full-time permanent positions intended for candidates in their early career. Applicants must hold a PhD by the application deadline. Knowledge of French is not required. Although CNRS recruits researchers by way of a national competition, applicants are encouraged to select one or more research labs to which they would like to be assigned, and support is crucial for a successful application. Located at Université Paris Cité (u-paris.fr <http://u-paris.fr/>), the LLF has about 80 members, including 36 permanent faculty members, working on every subfield of linguistics. In recent years, it has extended its focus from formal and theoretical linguistics to domains such as psycholinguistics, experimental linguistics, computational linguistics, dialogue, typology, and Sign language linguistics. The LLF is interested in supporting a limited number of applicants, with an excellent research record and willing to develop a project that would fit the lab's areas of inquiry. The official call for application will be published on December 5, 2022 with an application deadline of January 5, 2023 (https://www.cnrs.fr/fr/concours-ch <https://www.dgdr.cnrs.fr/drhchercheurs/concoursch/default-en.htm>). Prospective applicants that wish to be supported by the LLF are invited to contact the lab by December 10, sending a CV (including a publication list) and a short description of their research profile to direction.llf(a)listes.u-paris.fr <mailto:direction-llf@listes.univ-paris-diderot.fr>. Decisions on whether support is granted will be taken by December 16. Olivier Bonami Professeur de linguistique, Université de Paris Directeur du Laboratoire de Linguistique Formelle UMR 7110 - Université de Paris & CNRS Tel: +33 1 57 27 57 97 Bâtiment Olympe de Gouges (https://goo.gl/maps/96AtUeahUvC2 <https://goo.gl/maps/96AtUeahUvC2>) 8 place Paul Ricoeur 75013 Paris Bureau 520 Olivier Bonami Professeur de linguistique, Université Paris Cité Directeur du Laboratoire de Linguistique Formelle UMR 7110 - Université de Paris & CNRS Tel: +33 1 57 27 57 97 Bâtiment Olympe de Gouges 8 place Paul Ricoeur 75013 Paris Bureau 520

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OFAI 2022 Lecture Series
by Tristan Miller 09 Nov '22

09 Nov '22

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2022 Lecture Series, featuring an eclectic lineup of internal and external speakers. The talks are intended to familiarize attendees with the latest research developments in AI and related fields (particularly computational linguistics and natural language processing), and to forge new connections with those working in other areas. Most lectures (see prospective schedule below) will take place on Wednesdays at 18:30 Central European (Summer) Time. All lectures will be held online via Zoom; in-person attendance at OFAI Headquarters in Vienna is also possible for certain lectures. Attendance is open to the public and free of charge. No registration is required. Visit https://www.ofai.at/lectures for full details! 29 June Scott Patterson McGill University Domesticating Wealth Inequality: Hybrid Discourse Analysis of UN General Assembly Speeches, 1971–2018 6 July Pamela Breda Independent artist Feeling for Nonexsistent Beings 13 July Brigitte Krenn OFAI Robots as Social Agents: Between Construct and Reality 20 July Tristan Miller OFAI What's in a Pun? Assessing the Relationship Between Phonological and Semantic Distance and Perceived Funniness of Punning Jokes 27 July Katrien Beuls Université de Namur Unravelling the Computational Mechanisms Underlying the Emergence of Human-like Communication Systems in Populations of Autonomous Agents 7 September Steffen Eger Bielefeld University Text Generation for the Humanities 14 September Antti Arppe University of Alberta Finding Words that Aren't There: Using Word Embeddings to Improve Dictionary Search for Low-resource Languages 21 September Roman Pflugfelder AIT Austrian Institute of Technology Title TBA 28 September Raphael Deimel TU Wien Towards Intuitive Object Handovers Between Humans and Robots 5 October Christoph Scheepers University of Glasgow The “Crossword Effect” in Free Word Recall: A Retrieval Advantage for Words Encoded in Line with their Spatial Associations 12 October Karën Fort Sorbonne Université Title TBA 19 October Benjamin Roth University of Vienna Evaluation and Learning with Structured Test Sets 25 October Peter Hallman OFAI Comparatives in Arabic 2 November Stephanie Gross OFAI Title TBA 9 November Bernhard Pfahringer University of Waikato The World is not IID: Learning from Data Streams to the Rescue 16 November Paolo Petta OFAI Title TBA 23 November Robert Trappl OFAI Title TBA -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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Arabic to English Names Automated Transliteration
by Yousif Almas 09 Nov '22

09 Nov '22

Dear all, We have a large list of Arabic full names that we would like to automatically transliterate to English in a consistent way. Would appreciate letting me know if you are aware of any tools or resources that can help us to achieve this. Ok with both open source or commercial solutions. Many thanks, Yousif

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Corpora November 2022