Abstract: Computer-implemented systems and methods for extracting information during a human-to-human mono-lingual or multi-lingual dialog between two speakers are disclosed. Information from either the recognized speech (or the translation thereof) by the second speaker and/or the recognized speech by the first speaker (or the translation thereof) is extracted. The extracted information is then entered into an electronic form stored in a data store.

Abstract: A real-time open domain speech translation system for simultaneous translation of a spoken presentation that is a spoken monologue comprising one of a lecture, a speech, a presentation, a colloquium, and a seminar. The system includes an automatic speech recognition unit configured for accepting sound comprising the spoken presentation in a first language and for continuously creating word hypotheses, and a machine translation unit that receives the hypotheses, wherein the machine translation unit outputs a translation, into a second language, from the spoken presentation.

Abstract: Speech translation systems and methods for simultaneously translating speech between first and second speakers, wherein the first speaker speaks in a first language and the second speaker speaks in a second language that is different from the first language. The speech translation system may comprise a resegmentation unit that merge at least two partial hypotheses and resegments the merged partial hypotheses into a first-language translatable segment, wherein a segment boundary for the first-language translatable segment is determined based on sound from the second speaker.

Abstract: A method and apparatus are provided for updating the vocabulary of a speech translation system for translating a first language into a second language including written and spoken words. The method includes adding a new word in the first language to a first recognition lexicon of the first language and associating a description with the new word, wherein the description contains pronunciation and word class information. The new word and description are then updated in a first machine translation module associated with the first language. 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. Optionally, the invention may be used for bidirectional or multi-directional translation.

Abstract: A real-time open domain speech translation system for simultaneous translation of a spoken presentation that is a spoken monologue comprising one of a lecture, a speech, a presentation, a colloquium, and a seminar. The system includes an automatic speech recognition unit configured for accepting sound comprising the spoken presentation in a first language and for continuously creating word hypotheses, and a machine translation unit that receives the hypotheses, wherein the machine translation unit outputs a translation, into a second language, from the spoken presentation.

Abstract: A real-time open domain speech translation system for simultaneous translation of a spoken presentation that is a spoken monologue comprising one of a lecture, a speech, a presentation, a colloquium, and a seminar. The system includes an automatic speech recognition unit configured for accepting sound comprising the spoken presentation in a first language and for continuously creating word hypotheses, and a machine translation unit that receives the hypotheses, wherein the machine translation unit outputs a translation, into a second language, from the spoken presentation.

Abstract: A speech translation system and methods for cross-lingual communication that enable users to improve and modify content and usage of the system and easily abort or reset translation. The system includes a speech recognition module configured for accepting an utterance, a machine translation module, an interface configured to communicate the utterance and proposed translation, a correction module and an abort action unit that removes any hypotheses or partial hypotheses and terminates translation. The system also includes modules for storing favorites, changing language mode, automatically identifying language, providing language drills, viewing third party information relevant to conversation, among other things.

Abstract: A method and apparatus are provided for updating the vocabulary of a speech translation system for translating a first language into a second language including written and spoken words. The method includes adding a new word in the first language to a first recognition lexicon of the first language and associating a description with the new word, wherein the description contains pronunciation and word class information. The new word and description are then updated in a first machine translation module associated with the first language. 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.

Abstract: An iterative language translation system. The system includes a first automatic speech recognition component adapted to recognize spoken language in a source language and to create a source language hypothesis and a first machine translation component adapted to translate the source language hypothesis into a target language. The system also includes a second automatic speech recognition component adapted to recognize spoken language in the target language that is spoken by a translator, and wherein the second automatic speech recognition component is further adapted to create a target language hypothesis.