| lr-prod,0-1-I05-4008,ak | We show that this model of <term> parallel wordnet building </term> is effective and achieves higher <term> precision </term> in <term> LSR prediction </term> . <term> Taiwan Child Language Corpus </term> contains scripts transcribed from about 330 hours of recordings of fourteen young children from <term> Southern Min Chinese </term> speaking families in Taiwan . | #7171 We show that this model of parallel wordnet building is effective and achieves higher precision in LSR prediction.Taiwan Child Language Corpus contains scripts transcribed from about 330 hours of recordings of fourteen young children from Southern Min Chinese speaking families in Taiwan. | |
| other,18-1-I05-4008,ak | <term> Taiwan Child Language Corpus </term> contains scripts transcribed from about 330 hours of recordings of fourteen young children from <term> Southern Min Chinese </term> speaking families in Taiwan . | #7189 Taiwan Child Language Corpus contains scripts transcribed from about 330 hours of recordings of fourteen young children fromSouthern Min Chinese speaking families in Taiwan. | |
| lr-prod,4-2-I05-4008,ak | The format of the <term> corpus </term> adopts the <term> Child Language Data Exchange System ( CHILDES ) </term> . | #7201 The format of thecorpus adopts the Child Language Data Exchange System (CHILDES). | |
| model,7-2-I05-4008,ak | The format of the <term> corpus </term> adopts the <term> Child Language Data Exchange System ( CHILDES ) </term> . | #7204 The format of the corpus adopts theChild Language Data Exchange System ( CHILDES ). | |
| lr-prod,4-3-I05-4008,ak | The size of the <term> corpus </term> is about 1.6 million <term> words </term> . | #7217 The size of thecorpus is about 1.6 million words. | |
| other,9-3-I05-4008,ak | The size of the <term> corpus </term> is about 1.6 million <term> words </term> . | #7222 The size of the corpus is about 1.6 millionwords. | |
| tech,6-4-I05-4008,ak | In this paper , we describe <term> data collection </term> , <term> transcription </term> , <term> word segmentation </term> , and <term> part-of-speech annotation </term> of this <term> corpus </term> . | #7230 In this paper, we describedata collection, transcription, word segmentation, and part-of-speech annotation of this corpus. | |
| tech,9-4-I05-4008,ak | In this paper , we describe <term> data collection </term> , <term> transcription </term> , <term> word segmentation </term> , and <term> part-of-speech annotation </term> of this <term> corpus </term> . | #7233 In this paper, we describe data collection,transcription, word segmentation, and part-of-speech annotation of this corpus. | |
| tech,11-4-I05-4008,ak | In this paper , we describe <term> data collection </term> , <term> transcription </term> , <term> word segmentation </term> , and <term> part-of-speech annotation </term> of this <term> corpus </term> . | #7235 In this paper, we describe data collection, transcription,word segmentation, and part-of-speech annotation of this corpus. | |
| tech,15-4-I05-4008,ak | In this paper , we describe <term> data collection </term> , <term> transcription </term> , <term> word segmentation </term> , and <term> part-of-speech annotation </term> of this <term> corpus </term> . | #7239 In this paper, we describe data collection, transcription, word segmentation, andpart-of-speech annotation of this corpus. | |
| lr-prod,19-4-I05-4008,ak | In this paper , we describe <term> data collection </term> , <term> transcription </term> , <term> word segmentation </term> , and <term> part-of-speech annotation </term> of this <term> corpus </term> . | #7243 In this paper, we describe data collection, transcription, word segmentation, and part-of-speech annotation of thiscorpus. | |
| lr-prod,3-5-I05-4008,ak | Applications of the <term> corpus </term> are also discussed . | #7248 Applications of thecorpus are also discussed. |
