Search Results for author: Seok Min Kim

Found 9 papers, 6 papers with code

EM-Network: Oracle Guided Self-distillation for Sequence Learning

no code implementations14 Jun 2023 Ji Won Yoon, Sunghwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim

We introduce EM-Network, a novel self-distillation approach that effectively leverages target information for supervised sequence-to-sequence (seq2seq) learning.

Decoder Machine Translation +2

Kosp2e: Korean Speech to English Translation Corpus

1 code implementation6 Jul 2021 Won Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim

Most speech-to-text (S2T) translation studies use English speech as a source, which makes it difficult for non-English speakers to take advantage of the S2T technologies.

speech-recognition Speech Recognition +1

Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration

no code implementations LREC 2020 Won Ik Cho, Seok Min Kim, Nam Soo Kim

Code-mixed grapheme-to-phoneme (G2P) conversion is a crucial issue for modern speech recognition and synthesis task, but has been seldom investigated in sentence-level in literature.

Philosophy Sentence +3

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

1 code implementation Findings of the Association for Computational Linguistics 2020 Won Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim

Modern dialog managers face the challenge of having to fulfill human-level conversational skills as part of common user expectations, including but not limited to discourse with no clear objective.

Investigating an Effective Character-level Embedding in Korean Sentence Classification

2 code implementations31 May 2019 Won Ik Cho, Seok Min Kim, Nam Soo Kim

Different from the writing systems of many Romance and Germanic languages, some languages or language families show complex conjunct forms in character composition.

Classification General Classification +3

On Measuring Gender Bias in Translation of Gender-neutral Pronouns

1 code implementation WS 2019 Won Ik Cho, Ji Won Kim, Seok Min Kim, Nam Soo Kim

However, detection and evaluation of gender bias in the machine translation systems are not yet thoroughly investigated, for the task being cross-lingual and challenging to define.

Ethics Image Captioning +3

Speech Intention Understanding in a Head-final Language: A Disambiguation Utilizing Intonation-dependency

2 code implementations10 Nov 2018 Won Ik Cho, Hyeon Seung Lee, Ji Won Yoon, Seok Min Kim, Nam Soo Kim

This paper suggests a system which identifies the inherent intention of a spoken utterance given its transcript, in some cases using auxiliary acoustic features.


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