Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech.
Okko RäsänenShreyas SeshadriJulien KaradayiEric RieblingJohn BunceAlejandrina CristiàFlorian MetzeMarisa CasillasCelia RosembergElika BergelsonMelanie SoderstromPublished in: Speech Commun. (2019)
Keyphrases
- language independent
- language specific
- chinese text retrieval
- word meanings
- multi lingual
- parallel corpus
- n gram
- word level
- machine translation
- word forms
- word meaning
- spontaneous speech
- word segmentation
- text classification
- target language
- text retrieval
- cross lingual
- labor intensive
- cross language
- speech recognition
- out of vocabulary
- natural language
- information retrieval systems
- parallel corpora
- automatic summarization
- speech signal
- spoken language
- language model
- co occurrence
- natural language processing
- knowledge discovery
- data mining
- retrieval systems
- text mining
- artificial intelligence
- machine learning