The first task in Tibetan Natural Language Processing is word segmentation. We present our lightweight segmentation tool that is based on lexical ressources. It can be executed natively in InDesign and the user can update it with the manual corrections of its output. We then propose a semi-automated workflow aiming at syntactic analysis that uses utterance simplification and intonation cues to get pre- cise informations about the syntactical structure. Non-specialised native speakers are thus able to provide us with precise information about the structure of utter- ances. This will allow the scientific community to obtain the ressources needed to initiate the study of Tibetan syntax. In this process, informants will obtain educa- tional mat...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...
we integrate with semantic information which is based on syntactic analysis for extracting the Tibet...
International audienceAutomatic speech processing technologies hold great potential to facilitate th...
The first task in Tibetan Natural Language Processing is word segmentation. We present our lightweig...
This paper presents a new approach to two challenging NLP tasks in Classical Tibetan: word segmentat...
This paper presents what we believe to be the first reported work on Tibetan machine translation (MT...
This paper describes a rule-based part-of-speech tagger for Tibetan, implemented in Constraint Gramm...
This part-of-speech (POS) lexicon of Classical Tibetan was prepared in the course of the research pr...
Abstract. In this paper, we proposed a novel approach for Tibetan word segmentation using the condit...
We construct Tibetan phrase syntactic Treebank according to modern Tibetan syntax and develop the Tr...
This paper reports on the development of a rule-based part-of-speech tagger for Classical Tibetan. F...
This annotation manual is meant to support annotators in correcting both automatic word and sentence...
This paper represents a departure from traditional Tibetan grammar in terms of the classification of...
Has drawn lessons from prophase research results of Chinese speech synthesis corpus construction and...
In order to improve the performance of Tibetan natural language processing applications such as mach...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...
we integrate with semantic information which is based on syntactic analysis for extracting the Tibet...
International audienceAutomatic speech processing technologies hold great potential to facilitate th...
The first task in Tibetan Natural Language Processing is word segmentation. We present our lightweig...
This paper presents a new approach to two challenging NLP tasks in Classical Tibetan: word segmentat...
This paper presents what we believe to be the first reported work on Tibetan machine translation (MT...
This paper describes a rule-based part-of-speech tagger for Tibetan, implemented in Constraint Gramm...
This part-of-speech (POS) lexicon of Classical Tibetan was prepared in the course of the research pr...
Abstract. In this paper, we proposed a novel approach for Tibetan word segmentation using the condit...
We construct Tibetan phrase syntactic Treebank according to modern Tibetan syntax and develop the Tr...
This paper reports on the development of a rule-based part-of-speech tagger for Classical Tibetan. F...
This annotation manual is meant to support annotators in correcting both automatic word and sentence...
This paper represents a departure from traditional Tibetan grammar in terms of the classification of...
Has drawn lessons from prophase research results of Chinese speech synthesis corpus construction and...
In order to improve the performance of Tibetan natural language processing applications such as mach...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...
we integrate with semantic information which is based on syntactic analysis for extracting the Tibet...
International audienceAutomatic speech processing technologies hold great potential to facilitate th...