SYSTEM AND METHODS FOR MAINTAINING SPEECH-TO-SPEECH TRANSLATION IN THE FIELD

• US 20100217582A1
• Filed: 01/18/2010
• Published: 08/26/2010
• Est. Priority Date: 10/26/2007
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Mobile Technologies LLC (Meta Platforms, Inc. (f/k/a Facebook, Inc.))
• Inventors: Waibel, Alexander, Lane, Ian R.
• Granted Patent: US 9,070,363 B2
• Time in Patent Office: Days
• US Class Current: 704/7
• CPC Class Codes: G06F 40/42 Data-driven translation
• CPC Class Codes: G06F 40/44 Statistical methods, e.g. probability models
• CPC Class Codes: G10L 13/00 Speech synthesis; Text to speech systems
• CPC Class Codes: G10L 15/06 Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice G10L15/14 takes precedence
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering

Abstract

A field maintainable class-based translation system and apparatus with components that ease use by linguistically untrained users is disclosed. The apparatus includes modules for recovering errors, extending and customizing language coverage and increasing the speed of effective communication.

Claims

1. A method for overriding the updating the vocabulary of a speech translation system for translating a first language into a second language including written and spoken words comprising:

adding a new word in the first language to a first recognition lexicon of the first language;

associating a description with the new word, wherein the description contains pronunciation and word class information;

updating the new word and the description in a first machine translation module associated with the first language, wherein the first machine translation module contains a first tagging module, a first translation model and a first language module, and is configured to translate the new word to a corresponding translated word in the second language, wherein the updating is aborted to remove an hypotheses or partial hypotheses that may have already been output; and

resetting the system to accept a new input.