- 著者
- Michael Paul Andrew Finch Eiichiro Sumita
- 出版者
- The Association for Natural Language Processing
- 雑誌
- 自然言語処理 (ISSN:13407619)
- 巻号頁・発行日
- vol.20, no.4, pp.563-583, 2013-09-13 (Released:2013-12-12)
- 参考文献数
- 29
Recent research on multilingual statistical machine translation (SMT) focuses on the usage of pivot languages in order to overcome resource limitations for certain language pairs. This paper proposes a new method to translate a dialect language into a foreign language by integrating transliteration approaches based on Bayesian alignment (BA) models with pivot-based SMT approaches. The advantages of the proposed method with respect to standard SMT approaches are threefold: (1) it uses a standard language as the pivot language and acquires knowledge about the relation between dialects and a standard language automatically, (2) it avoids segmentation mismatches between the input and the translation model by mapping the character sequences of the dialect language to the word segmentation of the standard language, and (3) it reduces the translation task complexity by using monotone decoding techniques. Experiment results translating five Japanese dialects (Kumamoto, Kyoto, Nagoya, Okinawa, Osaka) into four Indo-European languages (English, German, Russian, Hindi) and two Asian languages (Chinese, Korean) revealed that the proposed method improves the translation quality of dialect translation tasks and outperforms standard pivot translation approaches concatenating SMT engines for the majority of the investigated language pairs.
- 著者
- JOHNSON Michael Paul
- 出版者
- 北海道言語研究会
- 雑誌
- 北海道言語文化研究 (ISSN:18826296)
- 巻号頁・発行日
- vol.13, pp.147-160, 2015-03-30
This paper describes an ongoing study evaluating the motivational effect of graded readersand extensive reading on Japanese engineering students learning English as a Foreign Language (EFL).The study evaluates attitudes and motivational orientations towards graded readers following asemester-long reading class which required learners to read extensively and take online quizzes via theMoodle Reader Module. Motivational orientations were assessed using the Graded ReaderInstructional Materials Motivational Survey (GR-IMMS), a questionnaire comprised of adapted scalesfrom Keller’s (2010) Instructional Materials Motivational Survey (IMMS) and open-ended items.Results of 270 (n=270) completed surveys indicated that the majority of learners positively endorsedextensive reading and the online evaluation system, and that content features, genre and textcharacteristics influenced learners’ perception of texts. Each of the cognitive variables examined inthe GR-IMMS scales were also positively endorsed. The implications of these findings are discussedas they relate to Japanese engineering students learning EFL.