Kenji Araki

Also published as: K. Araki


2019

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Word Embedding-Based Automatic MT Evaluation Metric using Word Position Information
Hiroshi Echizen’ya | Kenji Araki | Eduard Hovy
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

We propose a new automatic evaluation metric for machine translation. Our proposed metric is obtained by adjusting the Earth Mover’s Distance (EMD) to the evaluation task. The EMD measure is used to obtain the distance between two probability distributions consisting of some signatures having a feature and a weight. We use word embeddings, sentence-level tf-idf, and cosine similarity between two word embeddings, respectively, as the features, weight, and the distance between two features. Results show that our proposed metric can evaluate machine translation based on word meaning. Moreover, for distance, cosine similarity and word position information are used to address word-order differences. We designate this metric as Word Embedding-Based automatic MT evaluation using Word Position Information (WE_WPI). A meta-evaluation using WMT16 metrics shared task set indicates that our WE_WPI achieves the highest correlation with human judgment among several representative metrics.

2018

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Comparison of Pun Detection Methods Using Japanese Pun Corpus
Motoki Yatsu | Kenji Araki
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

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Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet
Seiya Shudo | Rafal Rzepka | Kenji Araki
Proceedings of the 12th Workshop on Asian Language Resources (ALR12)

In this paper we present two methods for automatic common sense knowledge evaluation for Japanese entries in ConceptNet ontology. Our proposed methods utilize text-mining approach: one with relation clue words and WordNet synonyms, and one without. Both methods were tested with a blog corpus. The system based on our proposed methods reached relatively high precision score for three relations (MadeOf, UsedFor, AtLocation), which is comparable with previous research using commercial search engines and simpler input. We analyze errors and discuss problems of common sense evaluation, both manual and automatic and propose ideas for further improvements.

2014

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Emotive or Non-emotive: That is The Question
Michal Ptaszynski | Fumito Masui | Rafal Rzepka | Kenji Araki
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation
Hiroshi Echizen’ya | Kenji Araki | Eduard Hovy
Proceedings of the Ninth Workshop on Statistical Machine Translation

2013

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Detecting Cyberbullying Entries on Informal School Websites Based on Category Relevance Maximization
Taisei Nitta | Fumito Masui | Michal Ptaszynski | Yasutomo Kimura | Rafal Rzepka | Kenji Araki
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length
Hiroshi Echizen’ya | Kenji Araki | Eduard Hovy
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

2012

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Two Database Resources for Processing Social Media English Text
Eleanor Clark | Kenji Araki
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This research focuses on text processing in the sphere of English-language social media. We introduce two database resources. The first, CECS (Casual English Conversion System) database, a lexicon-type resource of 1,255 entries, was constructed for use in our experimental system for the automated normalization of casual, irregularly-formed English used in communications such as Twitter. Our rule-based approach primarily aims to avoid problems caused by user creativity and individuality of language when Twitter-style text is used as input in Machine Translation, and to aid comprehension for non-native speakers of English. Although the database is still under development, we have so far carried out two evaluation experiments using our system which have shown positive results. The second database, CEGS (Casual English Generation System) phoneme database contains sets of alternative spellings for the phonemes in the CMU Pronouncing Dictionary, designed for use in a system for generating phoneme-based casual English text from regular English input; in other words, automatically producing humanlike creative sentences as an AI task. This paper provides an overview of the necessity, method, application and evaluation of both resources.

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Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
Michal Ptaszynski | Rafal Rzepka | Kenji Araki | Yoshio Momouchi
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

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Optimization for Efficient Determination of Chunk in Automatic Evaluation for Machine Translation
Hiroshi Echizen’ya | Kenji Araki | Eduard Hovy
Proceedings of the First International Workshop on Optimization Techniques for Human Language Technology

2010

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Automatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking
Hiroshi Echizen-ya | Kenji Araki
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2009

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Evaluation of a System for Noun Concepts Acquisition from Utterances about Images (SINCA) Using Daily Conversation Data
Yuzu Uchida | Kenji Araki
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers

2008

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A Multi-Lingual Dictionary of Dirty Words
Jonas Sjöbergh | Kenji Araki
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

We present a multi-lingual dictionary of dirty words. We have collected about 3,200 dirty words in several languages and built a database of these. The language with the most words in the database is English, though there are several hundred dirty words in for instance Japanese too. Words are classified into their general meaning, such as what part of the human anatomy they refer to. Words can also be assigned a nuance label to indicate if it is a cute word used when speaking to children, a very rude word, a clinical word etc. The database is available online and will hopefully be enlarged over time. It has already been used in research on for instance automatic joke generation and emotion detection.

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What is poorly Said is a Little Funny
Jonas Sjöbergh | Kenji Araki
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

We implement several different methods for generating jokes in English. The common theme is to intentionally produce poor utterances by breaking Grice’s maxims of conversation. The generated jokes are evaluated and compared to human made jokes. They are in general quite weak jokes, though there are a few high scoring jokes and many jokes that score higher than the most boring human joke.

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A Complete and Modestly Funny System for Generating and Performing Japanese Stand-Up Comedy
Jonas Sjöbergh | Kenji Araki
Coling 2008: Companion volume: Posters

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A Casual Conversation System Using Modality and Word Associations Retrieved from the Web
Shinsuke Higuchi | Rafal Rzepka | Kenji Araki
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

2007

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Modifying SO-PMI for Japanese Weblog Opinion Mining by Using a Balancing Factor and Detecting Neutral Expressions
Guangwei Wang | Kenji Araki
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

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OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
Guangwei Wang | Kenji Araki
Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)

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Semi-supervised Algorithm for Human-Computer Dialogue Mining
Calkin S. Montero | Kenji Araki
Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing

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Recreating Humorous Split Compound Errors in Swedish by Using Grammaticality
Jonas Sjöbergh | Kenji Araki
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

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Analysis of User Reactions to Turn-Taking Failures in Spoken Dialogue Systems
Mikio Nakano | Yuka Nagano | Kotaro Funakoshi | Toshihiko Ito | Kenji Araki | Yuji Hasegawa | Hiroshi Tsujino
Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue

2006

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Is It Correct? – Towards Web-Based Evaluation of Automatic Natural Language Phrase Generation
Calkin S. Montero | Kenji Araki
Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions

2005

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Detecting the Countability of English Compound Nouns Using Web-based Models
Jing Peng | Kenji Araki
Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts

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Automatic Acquisition of Bilingual Rules for Extraction of Bilingual Word Pairs from Parallel Corpora
Hiroshi Echizen-ya | Kenji Araki | Yoshio Momouchi
Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition

2002

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Evaluation of Direct Speech Translation Method Using Inductive Learning for Conversations in the Travel Domain
Koji Murakami | Makoto Hiroshige | Kenji Araki | Koji Tochinai
Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems

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A Word Segmentation Method with Dynamic Adapting to Text Using Inductive Learning
Zhongjian Wang | Kenji Araki | Koji Tochinai
COLING-02: The First SIGHAN Workshop on Chinese Language Processing

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Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
Hiroshi Echizen-ya | Kenji Araki | Yoshio Momouchi | Koji Tochinai
COLING 2002: The 19th International Conference on Computational Linguistics

1999

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Sub-Sentential Alignment Method by Analogy
Tantely Andriamanankasina | Kenji Araki | Koji Tochinai
Proceedings of the 13th Pacific Asia Conference on Language, Information and Computation

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A Study of Performance Evaluation for GA-ILMT Using Travel English
Hiroshi Echizen-ya | Kenji Araki | Yoshio Momouchi | Koji Tochinai
Proceedings of the 13th Pacific Asia Conference on Language, Information and Computation

1997

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An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
Hiroshi Echizen-ya | Kenji Araki | Yoshikazu Miyanaga | Koji Tochinai
Fifth Conference on Applied Natural Language Processing: Descriptions of System Demonstrations and Videos

1996

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Machine Translation Method Using Inductive Learning with Genetic Algorithms
Hiroshi Echizen-ya | Kenji Araki | Yoshio Momouchi | Koji Tochinai
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1982

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Development of Basic Practical Techniques for Japanese Letter String Processing - Automatic Keyword Extraction and Automatic Reading
K. Araki | K. Hinatsu | K. Itayama | T. Sahara | Y. Sakagami | F. Takano
Coling 1982 Abstracts: Proceedings of the Ninth International Conference on Computational Linguistics Abstracts