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ACM Transactions on

Asian and Low-Resource Language Information Processing (TALLIP)

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Evaluating the Content of LMF Standardized Dictionaries

Since the age of paper versions, dictionaries are often published with anomalies in their content resulting from lexicographer’s mistakes or... (more)

Inducing a Bilingual Lexicon from Short Parallel Multiword Sequences

This article proposes a technique for mining bilingual lexicons from pairs of parallel short word sequences. The technique builds a generative model... (more)

Comparison Study on Critical Components in Composition Model for Phrase Representation

Phrase representation, an important step in many NLP tasks, involves representing phrases as continuous-valued vectors. This article presents detailed... (more)

Improving Transition-Based Dependency Parsing of Hindi and Urdu by Modeling Syntactically Relevant Phenomena

In recent years, transition-based parsers have shown promise in terms of efficiency and accuracy.... (more)

Named Entity Recognition with Word Embeddings and Wikipedia Categories for a Low-Resource Language

In this article, we propose a word embedding--based named entity recognition (NER) approach. NER is... (more)

Implicit Discourse Relation Recognition for English and Chinese with Multiview Modeling and Effective Representation Learning

Discourse relations between two text segments play an important role in many Natural Language... (more)

Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia

Identifying translations from comparable corpora is a well-known problem with several applications.... (more)

A Hybrid Model for Chinese Spelling Check

Spelling check for Chinese has more challenging difficulties than that for other languages. A hybrid model for Chinese spelling check is presented in this article. The hybrid model consists of three components: one graph-based model for generic errors and two independently trained models for specific errors. In the graph model, a directed acyclic... (more)

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Science Citation Index Listing

TALLIP will be listed in the Science Citation Index Expanded starting with the first 2015 issue, 14(1). TALLIP will be included in the 2017 Journal Citation Report, and the first Impact Factor will be published mid-2018.

New Name, Expanded Scope

This page provides information about the journal Transactions on Asian and Low-Resource Language Information Processing (TALLIP), a publication of the Association for Computing Machinery (ACM).

The journal was formerly known as the Transactions on Asian Language Information Processing (TALIP): see the editorial charter for information on the expanded scope of the journal.  

Animation of Fingerspelled Words and Number Signs of the Sinhala Sign Language

Sign language is the primary communication medium of the aurally handicapped community. Often, a sign gesture is mapped to a word or a phrase in a spoken language and named as a conversational sign. A fingerspelling sign is a special sign derived to show a single character that matches a character in the alphabet of a given language. This enables the deaf community to express words that do not have a conversational sign, such as a name, using a letter-by-letter technique. Sinhala Sign Language (SSL) uses a phonetic pronunciation mechanism to decode such words due to the presence of one or more modifiers after a consonant. Expressing numbers also has a similar notation, and it is broken down into parts before interpretation in sign gestures. This paper presents the variations implemented to make the 3D avatar-based interpreter system look similar to an actual fingerspelled SSL by a human interpreter. To accomplish the task, a phonetic English-based 3D avatar animation system is developed with Blender animation software. The conversion of Sinhala Unicode text to phonetic English and numbers written in digits to sign gestures is done with a Visual Basic.NET (VB .NET) application. The presented application has 61 SSL fingerspelling signs and 41 number signs. It is capable of interpreting any word written using the modern Sinhala alphabet without conversational signs and numbers that go up to the billions. This is a helpful tool in teaching SSL fingerspelling and number signs of SSL to deaf children.

Predictor-Estimator: Neural Quality Estimation Based on Target Word Prediction for Machine Translation

Recently, quality estimation has been attracting increasing interest from the machine translation researchers, aiming at finding a good estimator for the quality of machine translation output. The common approach for quality estimation is to treat the problem as a supervised classification task using a quality-annotated parallel corpus, called quality estimation data, as training data. However, the available size of quality estimation data for training remains small, due to the exorbitant cost involved in the creation of such data. In addition, most conventional quality estimation approaches rely on manually designed features to model nonlinear relationships between feature vectors and corresponding quality labels. To overcome these problems, this paper proposes a novel neural network architecture for quality estimation task  called the predictor-estimator  that considers word prediction as an additional pre-task. The major component of the proposed neural architecture is a word prediction model based on a modified neural machine translation model  a probabilistic model for predicting a target word conditioning on all the other source and target contexts. Our proposed quality estimation method sequentially trains the following two types of neural models: 1) Predictor: Neural word prediction model trained from parallel corpora and 2) Estimator: Neural quality estimation model trained from quality estimation data. To transfer word prediction task to quality estimation task, we generate quality estimation feature vectors from the word prediction model and feed them into the quality estimation model. The results of experiments conducted on WMT 15 and 16 quality estimation datasets indicate that our proposed method has potential as it achieves state-of-the-art performances in the various sub-challenges.

A CDT-Styled End-to-End Chinese Discourse Parser

Discourse parsing is a challenging task and plays a critical role in discourse analysis. Since the release of the Rhetor- ical Structure Theory Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), the research on English discourse parsing has attracted increasing attention and achieved considerable success in recent years. At the same time, some preliminary research on certain subtasks about discourse parsing for other languages, such as Chinese, has been con- ducted. In this paper, we present an end-to-end Chinese discourse parser with the Connective-driven Dependency Tree (CDT) scheme, which consists of multiple components in a pipeline architecture, such as elementary discourse unit detector, dis- course relation recognizer, discourse parse tree generator, and attribution labeler. In particular, attribution labeler determines two attributions (i.e.,sense and centering) for every non-terminal node (i.e., discourse relation) in the discourse parse trees. Systematically, our parser detects all the EDUs in a free text, generates the discourse parse tree in bottom-up way, and deter- mines the sense and centering attributions for every non-terminal nodes by traversing the discourse parse tree. Comprehensive evaluation on the Connective-driven Dependency TreeBank (CDTB) corpus from both component-wise and error-cascading perspectives is conducted to illustrate how each component performs in isolation, and how the pipeline performs with error propagation. Finally, it shows that our end-to-end Chinese discourse parser achieves an overall F1 score of 20.0% with full automation.

A Supervised Learning Approach for Authorship Attribution of Bengali Literary Texts

Authorship Attribution is a long-standing problem in Natural Language Processing. Several statistical and computational methods have been used to find a solution to this problem. In this paper, we have proposed methods to deal with the authorship attribution problem in Bengali. More specifically, we proposed a supervised framework consisting of lexical and shallow features, and investigated the possibility of using topic-modeling-inspired features, to classify documents according to their authors. We have created a corpus from nearly all the literary works of three eminent Bengali authors, consisting of 3000 disjoint samples. Our models showed better performance than the state-of-the-art, with more than 98% test accuracy for the shallow features, and 100% test accuracy for the topic-based features.

A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization

Extractive summarization, a process that automatically picks exemplary sentences from a text (or spoken) document with the goal of concisely conveying key information therein, has seen a surge of attention from scholars and practitioners recently. Using a language modeling (LM) approach for sentence selection has been proven effective for performing unsupervised extractive summarization. However, one of the major difficulties facing the LM approach is to model sentences and estimate their parameters more accurately for each text (or spoken) document. We extend this line of research and make the following contributions in this work. First, we propose a position-aware language modeling framework using various granularities of position-specific information to better estimate the sentence models involved in the summarization process. Second, we explore disparate ways to integrate the positional cues into relevance models through a pseudo-relevance feedback procedure. Third, we extensively evaluate various models originated from our proposed framework and several well-established unsupervised methods. Empirical evaluation conducted on a broadcast news summarization task further demonstrates performance merits of the proposed summarization methods.

A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic

Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically-rich languages (MRL). In this paper, we evaluate the use of deep learning advances, namely the Recursive Neural Tensor Networks (RNTN), for sentiment analysis in Arabic as a case study of MRLs. While Arabic may not be considered the only representative of all MRLs, the challenges faced and proposed solutions in Arabic are common to many other MRLs. We identify, illustrate, and address MRL-related challenges, and show how RNTN is affected by the morphological richness and orthographic ambiguity of the Arabic language. To address the challenges with sentiment extraction from text in MRL, we propose to explore different orthographic features as well as different morphological features at multiple levels of abstraction ranging from raw words to roots. A key requirement for RNTN is the availability of a sentiment treebank; a collection of syntactic parse trees annotated for sentiment at all levels of constituency, and that currently only exists in English. Therefore, our contribution also includes the creation of the first Arabic Sentiment Treebank (ArSenTB) that is morphologically and orthographically enriched. Experimental results show that, compared to the basic RNTN proposed for English, our solution achieves significant improvements up to 8% absolute at the phrase-level and 10.8% absolute at the sentence-level, measured by average F1-score. It also outperforms well-known classifiers including SVM by 7.6% absolute and Recursive Autoencoder (RAE) by 3.2% absolute, both models trained with similar morphological considerations.

Translating Low-Resource Languages by Vocabulary Adaptation from Close Counterparts

Some natural languages belong to the same family or share similar syntactic and/or semantic regularities. This opportunity persuades researchers to share computational models across languages and benefit from high-quality models to boost existing low-performance alternatives. We follow a similar idea in our research. In this paper, we describe statistical and neural machine translation (MT) engines trained on a language pair but is used to translate another language. First we train a reliable model with a high-resource language, then we exploit cross-lingual similarities and adapt the model to work for a close language with almost zero resources. Our proposed solution can be easily applied to any close language pair that we choose Turkish (Tr) and Azeri or Azerbaijani (Az) in this regard. Azeri suffers from the lack of resources as there is almost no bilingual corpus and MT system for this language. To the best of our knowledge, this is the first time that an Azeri MT system is developed and evaluated. By use of our models, we are able to train an engine for the Az->English (En) direction with a BLEU score of 22.30.

Bibliometrics

Publication Years 2002-2017
Publication Count 305
Citation Count 1091
Available for Download 305
Downloads (6 weeks) 1530
Downloads (12 Months) 9251
Downloads (cumulative) 124509
Average downloads per article 408
Average citations per article 4
First Name Last Name Award
Baoli Li ACM Senior Member (2012)
Robert WP Luk ACM Senior Member (2007)
Tetsuya Sakai ACM Senior Member (2016)
Bulent Yener ACM Senior Member (2013)
Dong Zhou ACM Senior Member (2012)

First Name Last Name Paper Counts
Chunghsien Wu 9
Chengqing Zong 8
Masao Utiyama 6
Eiichiro Sumita 6
Garygeunbae Lee 5
Guodong Zhou 5
Sadao Kurohashi 5
Jianfeng Gao 5
Hitoshi Isahara 5
Kevin Duh 4
Yūji Matsumoto 4
Noriko Kando 4
Naoaki Okazaki 4
Isao Goto 4
Juifeng Yeh 4
Kentaro Inui 4
Swapan Parui 3
Byeongchang Kim 3
Susumu Horiguchi 3
Jianyun Nie 3
Hsinmin Wang 3
Akira Shimazu 3
Andrew Finch 3
Jugal Kalita 3
Tetsuya Sakai 3
Kuilam Kwok 3
Prasenjit Majumder 3
Teruko Mitamura 3
Jonghoon Lee 3
Kamfai Wong 3
Wenjie Li 3
Andy Way 3
Masaki Murata 3
Berlin Chen 3
Chenchen Ding 2
Pushpak Bhattacharyya 2
Debasis Ganguly 2
Kehjiann Chen 2
Eiichiro Sumita 2
Sophia Ananiadou 2
Anton Leuski 2
Garygeunbae Lee 2
Qing Ma 2
Timothy Baldwin 2
Stephan Vogel 2
Margaret Connell 2
Tan Lee 2
Ali Farghaly 2
Inderjeet Mani 2
Junhui Li 2
Mu Li 2
Xiaodong Liu 2
Mikio Yamamoto 2
Long Nguyen 2
Baoliang Lu 2
Wenhsiang Lu 2
Toshiaki Nakazawa 2
Chengwei Lee 2
Utpal Sharma 2
Jiaul Paik 2
Bonnie Dorr 2
Douglas Oard 2
Tong Xiao 2
Muhua Zhu 2
Xuanhieu Phan 2
Grace Ngai 2
Mandar Mitra 2
Neeta Nain 2
Dien Dinh 2
Farid Meziane 2
Jong Park 2
Robert Luk 2
Chungchi Huang 2
Bing Liu 2
Jingbo Zhu 2
Kiyotaka Uchimoto 2
Suresh Sundaram 2
Angarai Ramakrishnan 2
Hajime Tsukada 2
Chewlim Tan 2
Kalina Bontcheva 2
Yoshimi Suzuki 2
Haitong Yang 2
Qiaoming Zhu 2
Hai Zhao 2
Shihhung Wu 2
Yusuke Miyao 2
Katsuhito Sudoh 2
Chengwei Shih 2
David Zajic 2
Leefeng Chien 2
Daisuke Kawahara 2
Hideki Isozaki 2
Alon Lavie 2
Baoli Li 2
Ming Zhou 2
Kehyih Su 2
Jiajun Chen 2
Chaolin Liu 2
Takuya Matsuzaki 2
Ryu Iida 2
Min Zhang 2
Aiti Aw 2
Helen Meng 2
Dipasree Pal 2
Umapada Pal 2
Xiaolong Wang 2
Jacques Savoy 2
Hanping Shen 2
Phuoc Tran 2
Jawad Sadek 2
Hsinhsi Chen 2
Pakchung Ching 2
HungYu Su 2
Chienhsing Chen 2
Ralph Weischedel 2
Sanjeev Khudanpur 2
Tatsunori Mori 2
Jason Chang 2
Imed Zitouni 2
Tiejun Zhao 2
Qun Liu 2
Utpal Garain 2
Hideki Mima 2
Chenhui Chu 2
Wenlian Hsu 2
Chungchian Hsu 2
Chinyew Lin 2
Pingche Yang 2
Jun’ichi Tsujii 2
Fumiyo Fukumoto 2
Pascale Fung 2
Dawei Song 2
Hailong Cao 2
Jiajun Zhang 2
Stephanie Strassel 1
Lori Levin 1
Erik Peterson 1
Ying Zhang 1
Toshiya Ueda 1
Aesun Yoon 1
Hyukchul Kwon 1
Zejing Chuang 1
Rajib Das 1
Faramarz Hendessi 1
Dan Parvaz 1
Christine Doran 1
Charles Blake 1
HoChing Yen 1
Radu Florian 1
Masaaki Nagata 1
Manabu Okumura 1
Jennifer Baldwin 1
James Pustejovsky 1
José Benedí 1
Donna Harman 1
Sucharita Sanyal 1
Tomohide Shibata 1
TzeLeung Chung 1
Atsushi Matsumura 1
Jonghoon Oh 1
Minwoo Jeong 1
Ali Salhi 1
Karthik Krishnamurthi 1
Xiuming Qiao 1
Hussein Abbass 1
Maad Shatnawi 1
Liangliang Liu 1
Indu Chhabra 1
Toru Ishida 1
Toru Tanaka 1
Mukesh Goswami 1
Tongtao Zhang 1
Ye Thu 1
Ganesh Ramakrishnan 1
Shujian Huang 1
Yu Zhou 1
Rui Wang 1
Hiroki Hanaoka 1
Chutamanee Onsuwan 1
Yue Zhang 1
Goutham Tholpadi 1
Seth Kulick 1
Dong Zhou 1
Tim Brailsford 1
Yanjun Ma 1
Anwitaman Datta 1
Boxing Chen 1
Nianwen Xue 1
Lluís Màrquez 1
Yassine Benajiba 1
Takaaki Fukunishi 1
Genichiro Kikui 1
Hiroya Takamura 1
Frank Schilder 1
Le Zhang 1
Lu Qin 1
Pyung Kim 1
Carol Peters 1
Keita Nabeshima 1
Yasushi Inoguchi 1
Rong Jin 1
Eleni Petraki 1
Subhash Panwar 1
Xiaoqing Li 1
Heng Ji 1
Bülent Yener 1
Liming Zhao 1
Bilel Gargouri 1
Peifeng Li 1
Yinggong Zhao 1
Shuling Huang 1
Bilel Elayeb 1
Gina Levow 1
Taisuke Harada 1
Shaonan Wang 1
Maochuan Su 1
Chiranjib Bhattacharyya 1
Shirish Shevade 1
Tingxuan Wang 1
Proadpran Punyabukkana 1
Garygeunbae Lee 1
Sheng Li 1
YuRen Chen 1
Jeongwon Cha 1
Seonho Kim 1
Waikit Lo 1
Jun’ichi Tsujii 1
Hongling Wang 1
Yu Song 1
Mitesh Khapra 1
Manoj Chinnakotla 1
Kwokping Chan 1
Ada Brunstein 1
Wencheng Lin 1
Dickson Chiu 1
Ramachandran Jayadevan 1
RuYng Chang 1
Eiichrio Sumita 1
Jun'ichi Fukumoto 1
Lauren Hinkle 1
Francis Bond 1
Takaaki Tanaka 1
Fei Huang 1
Nasreen Abduljaleel 1
Katharina Probst 1
Justin Zobel 1
Tadataka Matsubayashi 1
Daisuke Noda 1
James Allan 1
Makoto Iwayama 1
Kanwen Tien 1
Tamotsu Shirado 1
Jyh Jang 1
Shuilung Chuang 1
A Ghayoori 1
Andrew Freeman 1
C Rytting 1
Paul Rodrigues 1
Tim Buckwalter 1
Xiaoqing Ding 1
Khairuddin Omar 1
Debasis Samanta 1
Kyumars Esmaili 1
Takashi Tsunakawa 1
Patrick Nguyen 1
Lori Lamel 1
Abdelkhalek Messaoudi 1
Satoshi Sato 1
Tomoya Iwakura 1
Beth Sundheim 1
Benfeng Chen 1
Zhao Liu 1
Eric Nichols 1
Le Nguyen 1
Yi Liu 1
David Martínez 1
Sana Gul 1
Jinshea Kuo 1
Yi Zhuang 1
Lei Chen 1
Ariadna Llitjos 1
Rachel Reynolds 1
Hisao Mase 1
Makoto Koyama 1
Mingjing Li 1
Minhua Lai 1
Harksoo Kim 1
Wai Lau 1
Jun'ichi Tsujii 1
Jiangchun Chen 1
Sarah Wayland 1
Ryuichiro Higashinaka 1
Haizhou Li 1
Shihhsiang Lin 1
Philipp Koehn 1
Mei Yang 1
Qun Liu 1
Peng Zhang 1
Kuniko Saito 1
Benjamin Han 1
Jingbo Zhu 1
Samaresh Maiti 1
Minh Pham 1
Yotaro Watanabe 1
Junta Mizuno 1
Diklun Lee 1
Jun Adachi 1
Michael Gertz 1
Adnan Yahya 1
Jannik Strötgen 1
Ayser Armiti 1
Tran Van Canh 1
Dil Hakro 1
Arafat Awajan 1
Yuji Matsumoto 1
Rifat Ozcan 1
Chienlung Chou 1
Yating Yang 1
Abhisek Chakrabarty 1
Minghong Bai 1
Haoran Li 1
Lunghao Lee 1
Nitin Ramrakhiyani 1
Jesús Giménez 1
Seiichi Yamamoto 1
Tomoko Izumi 1
Seokbae Jang 1
Yu Shiwen 1
Sunghyon Myaeng 1
Joan Sánchez 1
Xipeng Qiu 1
Richardtzonghan Tsai 1
Ljiljana Dolamic 1
Xuanjing Huang 1
Jing Bai 1
Tubao Ho 1
Joyce Chai 1
Julian Zell 1
Heba El-Fiqi 1
Junya Norimatsu 1
Katsutoshi Hirayama 1
Erdem Sarigil 1
İsmail Altıngövde 1
Chiahui Chang 1
Mingwen Wang 1
Sumire Uematsu 1
Arjun Das 1
Riyaz Bhat 1
Irshad Bhat 1
Fei Cheng 1
Lidan Zhang 1
Danushka Bollegala 1
Masatoshi Tsuchiya 1
Robert Damper 1
Yulan He 1
Katsumori Matsushima 1
Avijit Satoskar 1
ChunKai Chen 1
TienTeng Shih 1
Yong Chen 1
Prem Natarajan 1
Richard Schwartz 1
Nabin Sharma 1
Zhiang Wu 1
Jason Chang 1
Baoxun Wang 1
Deyuan Zhang 1
Jinhua Du 1
Yoshiaki Asada 1
Patrick Ye 1
Vijayapal Panuganti 1
Vishnu Bulusu 1
Makoto Yasuhara 1
Cungen Cao 1
Deepti Khanduja 1
Marta Costa-Jussà 1
Mairidan Wushouer 1
Donghui Lin 1
Tapan Bhowmik 1
Aritra Chowdhury 1
Kevin Knight 1
Prakash Choudhary 1
Oguz Yilmaz 1
Maoxi Li 1
Hirona Touji 1
Ibrahim Bounhas 1
Diab Abuaiadah 1
Thanaruk Theeramunkong 1
Xinyu Dai 1
Kuanyu Chen 1
Zhongye Jia 1
Wenyi Chen 1
Nguyentuan Duc 1
Haifeng Wang 1
Wanxiang Che 1
Chenglung Sung 1
Chiawei Wu 1
Pham Thao 1
Kyoungduk Kim 1
Jonghyeok Lee 1
Yoshiki Mikami 1
Smruthi Mukund 1
Ralph Grishman 1
Michael Subotin 1
Wei Li 1
Andrew McCallum 1
Chiching Lin 1
Yi Zhuang 1
Qing Li 1
Chengjie Sun 1
Maosong Sun 1
Yang Zhang 1
Lian Zhao 1
Ji Donghong 1
Cam Nguyen 1
Yang Liu 1
Nongnuch Ketui 1
B Kumari 1
Hai Zhao 1
Toru Hitaka 1
Hirofumi Yamamoto 1
Hideki Isozaki 1
Welly Naptali 1
Jinsik Lee 1
JiannCherng Shieh 1
Navanath Saharia 1
Byoungkee Yi 1
Daming Shi 1
Yair Wiseman 1
Rohini Srihari 1
Erik Peterson 1
Liang Zhou 1
Jonathan May 1
David Doermann 1
Valentin Tablan 1
Diana Maynard 1
Fuliang Weng 1
Minhwa Chung 1
Michael Paul 1
Peng Wang 1
Degen Huang 1
Masaharu Yoshioka 1
Masanori Nozawa 1
Akinori Fujino 1
Afifah Waseem 1
Nitin Madnani 1
T Geetha 1
Jaime Carbonell 1
Yan Qu 1
Jinxi Xu 1
Kousaku Arita 1
Toshihiko Manabe 1
YuSheng Lai 1
Satoko Marumoto 1
YuChung Lin 1
Yao Qian 1
Chienchung Huang 1
Muhammad Abdul-Mageed 1
Sherri Condon 1
John Aberdeen 1
Farah Zitoune 1
Victoria Rubin 1
David Chiang 1
Yang Lingpeng 1
Sanae Fujita 1
Sujay Jayakar 1
Fei Xia 1
Necip Ayan 1
Alex Waibel 1
Victor Lavrenko 1
Yihsuan Chuang 1
Chiaying Lee 1
Chunjen Lee 1
M Awad 1
Hamdan Rahman 1
Iskandar Keskes 1
Manoj Sharma 1
Xiaodong He 1
Khaled Shaalan 1
Khaled Shaalan 1
Kenji Imamura 1
Jerry Hobbs 1
Feng Pan 1
Linshan Lee 1
Baotu Ho 1
Deboshree Modak 1
Minh Nguyen 1
Katsuma Narisawa 1
Seokhwan Kim 1
Akihiro Tamura 1
Sukhdeep Singh 1
Peishan Tsai 1
Seunghoon Na 1
Suman Mitra 1
Jinjing Xia 1
Abdelmajid Hamadou 1
Eziz Tursun 1
Xinyu Dai 1
Fan Xu 1
Junsheng Zhou 1
Chuan Cheng 1
Natthawut Kertkeidkachorn 1
Atiwong Suchato 1
Minwoo Jeong 1
Seiichi Nakagawa 1
Yuqing Guo 1
Feipei Lai 1
YiHsun Lee 1
Nigel Collier 1
Cheongjae Lee 1
Kyungmi Park 1
Steve Gunn 1
Daniel Andrade 1
Jelita Asian 1
Mirna Adriani 1
Hugh Williams 1
Eunju Kim 1
Irit Gefner 1
Yoshihide Chubachi 1
Yuhsien Chiu 1
Kareem Darwish 1
Jianqiang Wang 1
Lemao Liu 1
Conghui Zhu 1
Philips Prasetyo 1
Zhiyuan Liu 1
Nguyenle Minh 1
Tran Oanh 1
Wenliang Chen 1
WenLian Hsu 1
Quangthuy Ha 1
Miguel Lezcano 1
Sunam Kim 1
Haizhou Li 1
Nizar Habash 1
Jinghui Xiao 1
Phil Vines 1
Motoko Ishikawa 1
David Hull 1
Sora Choi 1
Yuki Funakoshi 1
Asif Ekbal 1
Jungyun Seo 1
Miyoung Kang 1
Jonghyeok Lee 1
Y Wong 1
KamFai Wong 1
Jyhshing Jang 1
T Gulliver 1
Yuzhu Wang 1
Daya Lobiyal 1
Shosaku Tanaka 1
Yoichi Tomiura 1
Janming Ho 1
Liming Tseng 1
Minyuh Day 1
TianJian Jiang 1
Dinh Dien 1
Tran Tri 1
Youngsook Hwang 1
Haechang Rim 1
Kun Wang 1
Hwidong Na 1
Seyed Tahaghoghi 1
Jungjae Kim 1
Om Damani 1
JinSeok Lee 1
Ario Ohsato 1
Izumi Suzuki 1
Michael Nossal 1
Dina Demner-Fushman 1
Philip Resnik 1
Hsijian Lee 1
PoChui Luk 1
Wajdi Zaghouani 1
Meihua Chen 1
Lishuang Li 1
Fumito Masui 1
Ngo Bach 1
Sukalpa Chanda 1
Oriol Terrades 1
Yingkuei Yang 1
Qing Li 1
Mike Maxwell 1
Rebecca Hwa 1
Leah Larkey 1
Yuichi Ogawa 1
Yujia Li 1
Mingjun Chen 1
Christian Hettick 1
Helen Ashman 1
Yaoyong Li 1
Honglan Jin 1
Yuanxiang Li 1
Mohd Murah 1
Shahin Salavati 1
Sriram Venkatapathy 1
Le Sun 1
Yuexian Hou 1
Shihting Huang 1
Cristina España-Bonet 1
Hermann Moisl 1
Tianshun Yao 1
Woosung Kim 1
Diego Linares 1
Ayan Bandyopadhyay 1
Gareth Jones 1
Ling Cao 1
Hideki Shima 1
Hisami Suzuki 1
Kenneth Church 1
Muhua Zhu 1
Shujie Liu 1
Nimit Dhulekar 1
Jordi Centelles 1
Utpal Roy 1
Arjun V 1
Junlin Zhou 1
Kumiko Tanaka-Ishii 1
Hao Zhou 1
Huadong Chen 1
Amita Jain 1
Richard Tsai 1
Katsumi Tanaka 1
Takashi Inui 1
Yufeng Chen 1
KwopPing Chan 1
Sungjin Lee 1
Changning Huang 1
Ting Liu 1
Jengwei Lin 1
Yueshi Lee 1
Bobby Nazief 1
Goran Nenadic 1
A Kumaran 1
Sriganesh Madhvanath 1
Huanfeng Ma 1
Satoshi Sekine 1
Jun Luo 1
Hamish Cunningham 1
Kui Xu 1
Jeesoo Bang 1
Haiyang Hu 1
Taro Watanabe 1
Liyun Ru 1
Yutaka Matsuo 1
Tsuneaki Kato 1
Niu Zhengyu 1
Tianyong Hao 1
Chunshen Zhu 1
MikeTianjian Jiang 1
Thu Nguyen 1
Tsunghsien Lee 1
Xu Sun 1
Houfeng Wang 1
Albert Brouillette 1
Yueting Zhuang 1
Christopher Cieri 1
Richard Cohen 1
Saras Saraswathi 1
Setsuko Nara 1
David Evans 1
Gregory Grefenstette 1
Norbert Dinstl 1
Tadaaki Oshio 1
Hiroshi Matsuda 1
Kaifu Lee 1
Joshua Goodman 1
Sriparna Saha 1
Sumio Fujita 1
Marine Carpuat 1
Weibin Liang 1
Mark Truran 1
Nazlia Omar 1
Suliana Sulaiman 1
Lamia Belguith 1
Xiao Liu 1
Srinivas Bangalore 1
Robert Moore 1
Longhua Qian 1
Jean Gauvain 1
Xianchao Wu 1
Taichi Asami 1
Yongsheng Yang 1
Minh Le Nguyen 1
Sukomal Pal 1
Johannes Leveling 1
Koichi Takeda 1
Hiroshi Kanayama 1
Guihong Cao 1
Qin Lu 1
Robert Dale 1
Atsuhiro Takasu 1
Keysun Choi 1
Wei Yuan 1
Wei Lu 1
Sherief Abdallah 1
Abdullah Talib 1
Anuj Sharma 1
Peyman Passban 1
Lambert Schomaker 1
Özgür Ulusoy 1
Yayun Huang 1
Wafa Wali 1
Ashish Kankaria 1
Turghun Osman 1
Ghalip Abdukerim 1
Hanxi Li 1
Keisuke Sakanushi 1
Yuming Hsieh 1
Ramisettyrajeshwara Rao 1
Dipti Sharma 1
Shujian Huang 1
Hsinhsi Chen 1
Deng Cai 1
Yang Xin 1
Qiang Ma 1
Takao Doi 1
Junejei Kuo 1
Mitsuru Ishizuka 1
Josef Van Genabith 1
Limsoon Wong 1
Eduard Hovy 1
A Bharath 1
ChiaHung Lin 1
Franz Och 1
Ulrich Germann 1
Daqing He 1
Yabin Zheng 1
Lixing Xie 1
Mitsuru Ishizuka 1
Makoto Haraguchi 1
Tang Li 1
Yujie Zhang 1
Leigh Gathings 1
Michael Tepper 1
Sanae Fujita 1
Feifan Liu 1
Sarmad Hussain 1

Affiliation Paper Counts
Jawaharlal Nehru Technological University, Kakinada 1
Emirates College of Technology 1
Christ University, Bangalore 1
National Institute of Technology Manipur 1
Ryukoku University 1
Nagoya University 1
Waikato Institute of Technology 1
Universiti Sains Malaysia 1
University of Michigan 1
University of Kurdistan 1
University of Victoria 1
Middle East Technical University 1
Pondicherry Engineering College 1
Newcastle University, United Kingdom 1
Cornell University 1
Fujitsu Ltd. 1
United Arab Emirates University 1
University of Colorado at Colorado Springs 1
Japan Patent Information Organization 1
The University of Western Ontario 1
National Chiao Tung University Taiwan 1
Zhejiang Gongshang University 1
University of Texas at Austin 1
Yuan Ze University 1
Catholic University of Daegu 1
University of International Business and Economics China 1
Hangzhou Dianzi University 1
Seoul National University 1
AT&T Inc. 1
Dharmsinh Desai University 1
Japan Society for the Promotion of Science 1
Robert Bosch GmbH 1
The Institute of Behavioral Sciences 1
Sogang University 1
Mie University 1
Tianjin University 1
Macquarie University 1
Kobe University Faculty of Maritime Sciences 1
Nanjing Normal University 1
Information and Communications University 1
Tunghai University 1
Indiana University 1
Anna University 1
Jawaharlal Nehru Technological University, Hyderabad 1
University of Canberra 1
Chungnam National University 1
Industrial Technology Research Institute of Taiwan 1
National Institute of Standards and Technology 1
National Institute of Advanced Industrial Science and Technology 1
University of Teesside 1
University of Edinburgh 1
University of Hamburg 1
Ming Chuan University 1
Columbia University 1
Jawaharlal Nehru University 1
Institute of Computing Technology Chinese Academy of Sciences 1
Ritsumeikan University 1
Space and Naval Warfare Systems Center San Diego 1
Universidad Javeriana 1
University of Sindh 1
Princess Sumaya University 1
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 1
Baosteel Co., Ltd. 1
Gokaraju Rangaraju Institute of Engineering & Technology 1
Janya, Inc. 1
Universiti Pendidikan Sultan Idris 1
Ritsumeikan University, Biwako-Kusatsu 1
Turgut Ozal University 1
Zhejiang University 2
Indian Institute of Technology, Kharagpur 2
City University of New York 2
Hebrew University of Jerusalem 2
University of Texas at Dallas 2
University of Groningen 2
HP Labs 2
Doshisha University 2
Universidad Politecnica de Valencia 2
Robert Gordon University 2
Open University 2
Hokkaido University 2
University of Nottingham 2
University of Pittsburgh 2
Japan Science and Technology Agency 2
Brandeis University 2
Monterey Institute of International Studies 2
New York University 2
University of Calcutta 2
University of Southampton 2
Chaoyang University of Technology 2
Microsoft Corporation 2
National Taiwan University of Science and Technology 2
Isfahan University of Technology 2
University of New South Wales 2
Uiduk University 2
Tokyo Institute of Technology 2
University at Buffalo, State University of New York 2
University of Indonesia 2
Vietnam National University 2
Birzeit University 2
Ton-Duc-Thang University 2
Huawei Technologies Co., Ltd. 2
Universite de Toulouse 2
Dhirubhai Ambani Institute of Information and Communication Technology 2
Singapore University of Technology and Design 2
IBM, Japan 2
International Institute of Information Technology Hyderabad 3
University of Neuchatel 3
Toyohashi University of Technology 3
University of Manchester 3
Queens College, City University of New York 3
Johns Hopkins University 3
Korea University 3
Nanyang Technological University 3
Tezpur University 3
Pusan National University 3
Kyushu University 3
Thammasat University 3
Bilkent University 3
IBM Thomas J. Watson Research Center 3
Nagaoka University of Technology 3
Panjab University 3
Chulalongkorn University 3
Research Organization of Information and Systems National Institute of Informatics 3
University of Southern California 3
Michigan State University 3
Northeastern University China 3
Laobratoire d'Informatique pour la Mecanique et les Sciences de l'Ingenieur 3
National University of Computer and Emerging Sciences Lahore 3
British University in Dubai 3
Indian Institute of Technology 3
University of Colorado at Boulder 4
Advanced Telecommunications Research Institute International (ATR) 4
Universiti Kebangsaan Malaysia 4
Hitachi, Ltd. 4
Dalian University of Technology 4
University of Salford 4
University of Yamanashi 4
Fudan University 4
Jiangxi Normal University 4
City University of Hong Kong 4
Peking University 4
University of Washington, Seattle 4
National University of Singapore 4
Yokohama National University 4
Toshiba Corporation 4
Georgetown University 4
National Central University Taiwan 4
Korea Advanced Institute of Science & Technology 4
University of Sfax 4
Xinjiang Technical Institute of Physics and Chemistry 4
University of Pennsylvania 5
The University of Hong Kong 5
Universitat Politecnica de Catalunya 5
University of Montreal 5
RMIT University 5
University of Heidelberg 5
National Chiayi University 5
National Taiwan Normal University 5
Rensselaer Polytechnic Institute 5
University of Melbourne 5
National Chengchi University 5
University of Sheffield 6
Indian Institute of Science 6
National Yunlin University of Science and Technology 6
Northeastern University 6
Hong Kong University of Science and Technology 7
BBN Technologies 7
MITRE Corporation 7
JustSystems Corporation 7
Institute for Infocomm Research, A-Star, Singapore 8
University of Massachusetts Amherst 8
Chinese Academy of Sciences 8
Shanghai Jiaotong University 8
Indian Institute of Technology, Bombay 9
University of Tsukuba 9
University of Southern California, Information Sciences Institute 9
Microsoft Research 9
Tsinghua University 9
National Taiwan University 10
Hong Kong Polytechnic University 11
Nanjing University 11
Microsoft Research Asia 11
Soochow University 12
Institute of Automation Chinese Academy of Sciences 12
Tohoku University 13
Dublin City University 13
Kyoto University 14
Japan Advanced Institute of Science and Technology 14
Nara Institute of Science and Technology 15
National Tsing Hua University 16
Chinese University of Hong Kong 17
Carnegie Mellon University 17
Harbin Institute of Technology 18
University of Tokyo 20
Nippon Telegraph and Telephone Corporation 20
Indian Statistical Institute, Kolkata 21
Pohang University of Science and Technology 23
Academia Sinica Taiwan 24
National Cheng Kung University 25
University of Maryland 26
Japan National Institute of Information and Communications Technology 37

ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Archive


2017
Volume 16 Issue 4, May 2017  Issue-in-Progress
Volume 16 Issue 3, April 2017

2016
Volume 16 Issue 2, December 2016 TALLIP Notes and Regular Papers
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Volume 15 Issue 4, June 2016
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2015
Volume 14 Issue 4, October 2015 Special Issue on Chinese Spell Checking
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2014
Volume 13 Issue 4, December 2014
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2013
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2012
Volume 11 Issue 4, December 2012 Special Issue on RITE
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2011
Volume 10 Issue 4, December 2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
Volume 3 Issue 4, December 2004
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2003
Volume 2 Issue 4, December 2003
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2002
Volume 1 Issue 4, December 2002
Volume 1 Issue 3, September 2002
Volume 1 Issue 2, June 2002
Volume 1 Issue 1, March 2002
 
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