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The data article presents the large bilingual parallel corpus of low-resourced language pair Sanskrit-Hindi, named SAHAAYAK 2023. The corpus contains total of 1.5M sentence pairs between Sanskrit and Hindi. To make the universal usability…

Computation and Language · Computer Science 2023-07-04 Vishvajitsinh Bakrola , Jitendra Nasariwala

India's linguistic landscape is one of the most diverse in the world, comprising over 120 major languages and approximately 1,600 additional languages, with 22 officially recognized as scheduled languages in the Indian Constitution. Despite…

This paper discusses a new metric that has been applied to verify the quality in translation between sentence pairs in parallel corpora of Arabic-English. This metric combines two techniques, one based on sentence length and the other based…

Computation and Language · Computer Science 2015-02-13 Saad Alkahtani , Wei Liu , William J. Teahan

Access to higher education is critical for minority populations and emergent bilingual students. However, the language used by higher education institutions to communicate with prospective students is often too complex; concretely, many…

Computation and Language · Computer Science 2022-09-13 Zachary W. Taylor , Maximus H. Chu , Junyi Jessy Li

This paper presents the challenges in creating and managing large parallel corpora of 12 major Indian languages (which is soon to be extended to 23 languages) as part of a major consortium project funded by the Department of Information…

Computation and Language · Computer Science 2021-12-06 Ritesh Kumar , Shiv Bhusan Kaushik , Pinkey Nainwani , Girish Nath Jha

The development of automated approaches to linguistic acceptability has been greatly fostered by the availability of the English CoLA corpus, which has also been included in the widely used GLUE benchmark. However, this kind of research for…

Computation and Language · Computer Science 2022-10-14 Daniela Trotta , Raffaele Guarasci , Elisa Leonardelli , Sara Tonelli

It remains a question that how simultaneous interpretation (SI) data affects simultaneous machine translation (SiMT). Research has been limited due to the lack of a large-scale training corpus. In this work, we aim to fill in the gap by…

Computation and Language · Computer Science 2024-04-02 Jinming Zhao , Yuka Ko , Kosuke Doi , Ryo Fukuda , Katsuhito Sudoh , Satoshi Nakamura

The effectiveness of a statistical machine translation system (SMT) is very dependent upon the amount of parallel corpus used in the training phase. For low-resource language pairs there are not enough parallel corpora to build an accurate…

Computation and Language · Computer Science 2017-01-31 Ebrahim Ansari , M. H. Sadreddini , Mostafa Sheikhalishahi , Richard Wallace , Fatemeh Alimardani

We introduce the Alternating Reading Task (ART) Corpus, a collection of dyadic sentence reading for studying the entrainment and imitation behaviour in speech communication. The ART corpus features three experimental conditions - solo…

Computation and Language · Computer Science 2024-04-04 Zheng Yuan , Dorina de Jong , Štefan Beňuš , Noël Nguyen , Ruitao Feng , Róbert Sabo , Luciano Fadiga , Alessandro D`Ausilio

Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally. They are often used in everyday communication, but they are also a part of linguistic…

Computation and Language · Computer Science 2018-11-27 Nikola Milosevic , Goran Nenadic

The BVS database (Health Virtual Library) is a centralized source of biomedical information for Latin America and Carib, created in 1998 and coordinated by BIREME (Biblioteca Regional de Medicina) in agreement with the Pan American Health…

Computation and Language · Computer Science 2019-05-07 Felipe Soares , Martin Krallinger

This paper proposes a mechanism for learning pattern correspondences between two languages from a corpus of translated sentence pairs. The proposed mechanism uses analogical reasoning between two translations. Given a pair of translations,…

cmp-lg · Computer Science 2008-02-03 Ilyas Cicekli , H. Altay Guvenir

The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. However, most existing datasets lack scientific documents or…

Computation and Language · Computer Science 2023-05-11 Janek Bevendorff , Philipp Sauer , Lukas Gienapp , Wolfgang Kircheis , Erik Körner , Benno Stein , Martin Potthast

Student course feedback is generated daily in both classrooms and online course discussion forums. Traditionally, instructors manually analyze these responses in a costly manner. In this work, we propose a new approach to summarizing…

Computation and Language · Computer Science 2018-05-29 Wencan Luo , Fei Liu , Zitao Liu , Diane Litman

Retrieving relevant plots from the book for a query is a critical task, which can improve the reading experience and efficiency of readers. Readers usually only give an abstract and vague description as the query based on their own…

Information Retrieval · Computer Science 2023-11-06 Shicheng Xu , Liang Pang , Jiangnan Li , Mo Yu , Fandong Meng , Huawei Shen , Xueqi Cheng , Jie Zhou

We describe an Arabic-Hebrew parallel corpus of TED talks built upon WIT3, the Web inventory that repurposes the original content of the TED website in a way which is more convenient for MT researchers. The benchmark consists of about 2,000…

Computation and Language · Computer Science 2016-10-04 Mauro Cettolo

One of the components of natural language processing that has received a lot of investigation recently is semantic textual similarity. In computational linguistics and natural language processing, assessing the semantic similarity of words,…

Computation and Language · Computer Science 2024-09-06 Mohammad Abdous , Poorya Piroozfar , Behrouz Minaei Bidgoli

Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine…

Computation and Language · Computer Science 2015-08-24 Samuel R. Bowman , Gabor Angeli , Christopher Potts , Christopher D. Manning

Informal language is a style of spoken or written language frequently used in casual conversations, social media, weblogs, emails and text messages. In informal writing, the language faces some lexical and/or syntactic changes varying among…

Computation and Language · Computer Science 2023-08-11 Vahide Tajalli , Fateme Kalantari , Mehrnoush Shamsfard

We present the IndicNLP corpus, a large-scale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. We share pre-trained word embeddings trained on these corpora. We create news article…

Computation and Language · Computer Science 2020-05-04 Anoop Kunchukuttan , Divyanshu Kakwani , Satish Golla , Gokul N. C. , Avik Bhattacharyya , Mitesh M. Khapra , Pratyush Kumar
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